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A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in terms of Medical Subject Headings

Citations

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Cited by:

  1. Ryosuke L. Ohniwa & Aiko Hibino, 2019. "Generating process of emerging topics in the life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1549-1561, December.
  2. Ben Martin, 2016. "What is Happening to our Universities?," SPRU Working Paper Series 2016-03, SPRU - Science Policy Research Unit, University of Sussex Business School.
  3. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2023. "Knowledge spillovers from HIV research-funding," SocArXiv gcuhn, Center for Open Science.
  4. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
  5. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
  6. Hoppmann, Joern, 2021. "Hand in hand to Nowhereland? How the resource dependence of research institutes influences their co-evolution with industry," Research Policy, Elsevier, vol. 50(2).
  7. Yaqub, Ohid & Coburn, Josie & Moore, Duncan A.Q., 2024. "Research-targeting, spillovers, and the direction of science: Evidence from HIV research-funding," Research Policy, Elsevier, vol. 53(8).
  8. Yuti Ariani Fatimah & Saurabh Arora, 2016. "Nonhumans in the Practice of Development: Material Agency and Friction in a Small-Scale Energy Program in Indonesia," SPRU Working Paper Series 2016-04, SPRU - Science Policy Research Unit, University of Sussex Business School.
  9. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
  10. Nicola Grassano & Daniele Rotolo & Joshua Hutton & Frédérique Lang & Michael M. Hopkins, 2017. "Funding Data from Publication Acknowledgments: Coverage, Uses, and Limitations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 999-1017, April.
  11. Ke, Qing, 2020. "An analysis of the evolution of science-technology linkage in biomedicine," Journal of Informetrics, Elsevier, vol. 14(4).
  12. Wang, Xuefeng & Zhang, Shuo & Liu, Yuqin & Du, Jian & Huang, Heng, 2021. "How pharmaceutical innovation evolves: The path from science to technological development to marketable drugs," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  13. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
  14. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.
  15. Matthew L. Wallace & Ismael Rafols, 2016. "Shaping the Agenda of a Grand Challenge: Institutional Mediation of Priorities in Avian Influenza Research," SPRU Working Paper Series 2016-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
  16. Altaf, Aqsa & Hassan, Ibn e & Batool, Sana, 2019. "The role of ORIC in the evolution of the triple helix culture of innovation: The case of Pakistan," Technology in Society, Elsevier, vol. 56(C), pages 157-166.
  17. Kevin W. Boyack, 2017. "Thesaurus-based methods for mapping contents of publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1141-1155, May.
  18. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
  19. Loet Leydesdorff & Jordan A. Comins & Aaron A. Sorensen & Lutz Bornmann & Iina Hellsten, 2016. "Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2077-2091, December.
  20. Li, Xin & Tang, Xuli, 2021. "Characterizing interdisciplinarity in drug research: A translational science perspective," Journal of Informetrics, Elsevier, vol. 15(4).
  21. Alexander M. Petersen & Mohammed E. Ahmed & Ioannis Pavlidis, 2021. "Grand challenges and emergent modes of convergence science," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
  22. repec:oup:rseval:v:32:y:2024:i:2:p:256-272. is not listed on IDEAS
  23. Mathis, Bryan & Ohniwa, Ryosuke L., 2024. "Trends in emerging topics generation across countries in life science and medicine," Journal of Informetrics, Elsevier, vol. 18(3).
  24. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "What Is the Effect of Synergy Provided by International Collaborations on Regional Economies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 18-34, March.
  25. Proksch, Dorian & Busch-Casler, Julia & Haberstroh, Marcus Max & Pinkwart, Andreas, 2019. "National health innovation systems: Clustering the OECD countries by innovative output in healthcare using a multi indicator approach," Research Policy, Elsevier, vol. 48(1), pages 169-179.
  26. Ryosuke L. Ohniwa & Kunio Takeyasu & Aiko Hibino, 2022. "Researcher dynamics in the generation of emerging topics in life sciences and medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 871-884, February.
  27. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  28. Inga Ivanova & Nataliya Smorodinskaya & Loet Leydesdorff, 2020. "On measuring complexity in a post-industrial economy: the ecosystem’s approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 197-212, February.
  29. Alexander Michael & Felber Arroyave & Ioannis Pavlidis, 2023. "Methods for measuring social and conceptual dimensions of convergence science," Research Evaluation, Oxford University Press, vol. 32(2), pages 256-272.
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