IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v5y2011i2p233-247.html
   My bibliography  Save this article

A bibliometric investigation of research performance in emerging nanobiopharmaceuticals

Author

Listed:
  • Chen, Kaihua
  • Guan, Jiancheng

Abstract

The three important research domains, nanotechnology, biotechnology and pharmaceuticals, integratedly breed a promising multidisciplinary domain in the post-genomic age, which was recently defined by the term “nanobiopharmaceuticals”. In this paper, we firstly investigate its general development profiles, and then implement cross-country comparisons in its research performances, with the focus on the world share, relative research effort, impact and quality of five productive countries. Furthermore, from the science mapping perspective, we build the co-word and co-citation networks respectively for detecting its intellectual structure as well as evolution footprints of intellectual turning points. The growth examinations based on the datasets from WoS, MEDLINE and BIOSIS Review confirm the exponential growth of publications and citations in nanobiopharm-research. The cross-country comparisons show that USA is the leading country, and China is an up-and-coming contributor. The visual mapping structures by co-occurrence analyses show that nanobiopharm-research is currently focused on the drug development for improving biodistribution, bioavailability and pharmacokinetics, and the drug delivery for improving delivery of existing drugs. Some pivot publications is identified by CiteSpace, which work as structural holes, research fronts and intellectual bases for the nanobiopharm-research development in the given time window.

Suggested Citation

  • Chen, Kaihua & Guan, Jiancheng, 2011. "A bibliometric investigation of research performance in emerging nanobiopharmaceuticals," Journal of Informetrics, Elsevier, vol. 5(2), pages 233-247.
  • Handle: RePEc:eee:infome:v:5:y:2011:i:2:p:233-247
    DOI: 10.1016/j.joi.2010.10.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157710000945
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2010.10.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ismael Rafols & Martin Meyer, 2007. "How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 633-650, March.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Jiancheng Guan & Nan Ma, 2007. "A bibliometric study of China’s semiconductor literature compared with other major asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 107-124, January.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    5. Henry Small & Phineas Upham, 2009. "Citation structure of an emerging research area on the verge of application," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 365-375, May.
    6. Tibor Braun & András Schubert, 2003. "A quantitative view on the coming of age of interdisciplinarity in the sciences 1980-1999," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 183-189, September.
    7. Jiancheng Guan & Nan Ma, 2004. "A comparative study of research performance in computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 339-359, November.
    8. Hao Qiu & Yi-Feng Chen, 2009. "Bibliometric analysis of biological invasions research during the period of 1991 to 2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 601-610, December.
    9. Guan, Jiancheng & Ma, Nan, 2007. "China's emerging presence in nanoscience and nanotechnology: A comparative bibliometric study of several nanoscience `giants'," Research Policy, Elsevier, vol. 36(6), pages 880-886, July.
    10. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    11. Yuen-Hsien Tseng & Yu-I Lin & Yi-Yang Lee & Wen-Chi Hung & Chun-Hsiang Lee, 2009. "A comparison of methods for detecting hot topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 73-90, October.
    12. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 1998. "Comparative analysis of a set of bibliometric indicators and central peer review criteria: Evaluation of condensed matter physics in the Netherlands," Research Policy, Elsevier, vol. 27(1), pages 95-107, May.
    13. Wolfgang Glänzel & Rickard Danell & Olle Persson, 2003. "The decline of Swedish neuroscience: Decomposing a bibliometric national science indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 197-213, June.
    14. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    15. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    16. Yoshiyuki Takeda & Shiho Mae & Yuya Kajikawa & Katsumori Matsushima, 2009. "Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 23-38, July.
    17. Xiaojun Hu & Ronald Rousseau, 2009. "A comparative study of the difference in research performance in biomedical fields among selected Western and Asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 475-491, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yi Zhang & Mingting Kou & Kaihua Chen & Jiancheng Guan & Yuchen Li, 2016. "Modelling the Basic Research Competitiveness Index (BR-CI) with an application to the biomass energy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1221-1241, September.
    2. Ping Xie, 2015. "Study of international anticancer research trends via co-word and document co-citation visualization analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 611-622, October.
    3. Xiaoling Wang & Jatin Nathwani & Chunyou Wu, 2016. "Visualization of International Energy Policy Research," Energies, MDPI, vol. 9(2), pages 1-14, January.
    4. Rómulo J. González-García & Gabriel Martínez-Rico & Claudia Escorcia-Mora & Pau García-Grau, 2022. "A Bibliometric Study on the Social Validity of Telepractice in Autism Spectrum Disorder," IJERPH, MDPI, vol. 20(1), pages 1-18, December.
    5. Hong-Hua Qiu & Lu-Ge Liu, 2018. "A Study on the Evolution of Carbon Capture and Storage Technology Based on Knowledge Mapping," Energies, MDPI, vol. 11(5), pages 1-25, May.
    6. María Huertas González-Serrano & Vicente Añó Sanz & Rómulo Jacobo González-García, 2020. "Sustainable Sport Entrepreneurship and Innovation: A Bibliometric Analysis of This Emerging Field of Research," Sustainability, MDPI, vol. 12(12), pages 1-26, June.
    7. Futao Zhang & Yuedong Liu & Yueling Zhang, 2023. "Bibliometric Analysis of Research Trends in Agricultural Soil Organic Carbon Mineralization from 2000 to 2022," Agriculture, MDPI, vol. 13(6), pages 1-19, June.
    8. Samira FRIOUI & Amel GRAA, 2024. "Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 5-24, February.
    9. H. Martinez & A. Jaime & J. Camacho, 2014. "Biotechnology profile analysis in Colombia," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1789-1804, December.
    10. Fei-Cheng Ma & Peng-Hui Lyu & Qiang Yao & Lan Yao & Shi-Jing Zhang, 2014. "Publication trends and knowledge maps of global translational medicine research," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 221-246, January.
    11. Wang, Qiang & Li, Rongrong & He, Gang, 2018. "Research status of nuclear power: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 90-96.
    12. Shengguo Li & Jiaqi Liu & Jichang Dong & Xuerong Li, 2021. "20 Years of Research on Real Estate Bubbles, Risk and Exuberance: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    13. Bruton, Garry D. & Chen, Juanyi, 2022. "Bringing entrepreneurship and family business fully into a home in management departments," Journal of Family Business Strategy, Elsevier, vol. 13(1).
    14. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
    15. Ma, Chao-Qun & Lei, Yu-Tian & Ren, Yi-Shuai & Chen, Xun-Qi & Wang, Yi-Ran & Narayan, Seema, 2024. "Systematic analysis of the blockchain in the energy sector: Trends, issues, and future directions," Telecommunications Policy, Elsevier, vol. 48(2).
    16. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    17. Hong Jiang & Jinlong Gai & Shukuan Zhao & Peggy E. Chaudhry & Sohail S. Chaudhry, 2022. "Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 361-378, May.
    18. Wei, Qi & Wei, Qi & Xu, Junzeng & Liu, Yuzhou & Wang, Dong & Chen, Shengyu & Qian, Wenhao & He, Min & Chen, Peng & Zhou, Xuanying & Qi, Zhiming, 2024. "Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives," Agricultural Water Management, Elsevier, vol. 296(C).
    19. Yan Yan & Zhewen Liao & Xiaosong Chen, 2018. "Fixed-income securities: bibliometric review with network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1615-1640, September.
    20. Yanyi Huang & Xiu-Hao Ding & Ruihong Liu & Yuanqiong He & Suming Wu, 2019. "Reviewing the Domain of Technology and Innovation Management: A Visualizing Bibliometric Analysis," SAGE Open, , vol. 9(2), pages 21582440198, June.
    21. Likang Zhang & Jichang Dong & Zhi Dong & Xiuting Li, 2022. "Research Hotspots and Trend Analysis in the Field of Regional Economics and Carbon Emissions since the 21st Century: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    22. Yuzhen Liu & Caidi Li & Wentin Liu & Quanmin Dong, 2022. "Trends in Global Research on Seed Dispersal: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    23. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    24. Min Song & Go Eun Heo & Su Yeon Kim, 2014. "Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 397-428, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peng Wang & Fang-Wei Zhu & Hao-Yang Song & Jian-Hua Hou & Jin-Lan Zhang, 2018. "Visualizing the Academic Discipline of Knowledge Management," Sustainability, MDPI, vol. 10(3), pages 1-28, March.
    2. Xuerong Li & Han Qiao & Shouyang Wang, 2017. "Exploring evolution and emerging trends in business model study: a co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 869-887, May.
    3. Ivan Jarić & Jelena Knežević-Jarić & Mirjana Lenhardt, 2014. "Relative age of references as a tool to identify emerging research fields with an application to the field of ecology and environmental sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 519-529, August.
    4. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    5. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    6. Wang Guizhou & Zhang Si & Yu Tao & Ning Yu, 2021. "A Systematic Overview of Blockchain Research," Journal of Systems Science and Information, De Gruyter, vol. 9(3), pages 205-238, June.
    7. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    8. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    9. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    10. Muaz Niazi & Amir Hussain, 2011. "Agent-based computing from multi-agent systems to agent-based models: a visual survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 479-499, November.
    11. Qingjun Zhao & Jiancheng Guan, 2011. "International collaboration of three ‘giants’ with the G7 countries in emerging nanobiopharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 159-170, April.
    12. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    13. Yi Zhang & Mingting Kou & Kaihua Chen & Jiancheng Guan & Yuchen Li, 2016. "Modelling the Basic Research Competitiveness Index (BR-CI) with an application to the biomass energy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1221-1241, September.
    14. Boyack, Kevin W. & Klavans, Richard, 2014. "Including cited non-source items in a large-scale map of science: What difference does it make?," Journal of Informetrics, Elsevier, vol. 8(3), pages 569-580.
    15. Maximilian Scheffler & Johannes Brunzel, 2020. "Destructive leadership in organizational research: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 755-775, October.
    16. Sohrabi, Babak & Khalilijafarabad, Ahmad, 2018. "Systematic method for finding emergence research areas as data quality," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 280-287.
    17. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    18. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
    19. Seyedghorban, Zahra & Matanda, Margaret Jekanyika & LaPlaca, Peter, 2016. "Advancing theory and knowledge in the business-to-business branding literature," Journal of Business Research, Elsevier, vol. 69(8), pages 2664-2677.
    20. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:5:y:2011:i:2:p:233-247. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.