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Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine

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  • Caroline S Wagner
  • Edwin Horlings
  • Travis A Whetsell
  • Pauline Mattsson
  • Katarina Nordqvist

Abstract

Nobel Laureates in Physiology or Medicine who received the Prize between 1969 and 2011 are compared to a matched group of scientists to examine productivity, impact, coauthorship and international collaboration patterns embedded within research networks. After matching for research domain, h-index, and year of first of publication, we compare bibliometric statistics and network measures. We find that the Laureates produce fewer papers but with higher average citations. The Laureates also produce more sole-authored papers both before and after winning the Prize. The Laureates have a lower number of coauthors across their entire careers than the matched group, but are equally collaborative on average. Further, we find no differences in international collaboration patterns. The Laureates coauthor network reveals significant differences from the non-Laureate network. Laureates are more likely to build bridges across a network when measuring by average degree, density, modularity, and communities. Both the Laureate and non-Laureate networks have “small world” properties, but the Laureates appear to exploit “structural holes” by reaching across the network in a brokerage style that may add social capital to the network. The dynamic may be making the network itself highly attractive and selective. These findings suggest new insights into the role "star scientists" in social networks and the production of scientific discoveries.

Suggested Citation

  • Caroline S Wagner & Edwin Horlings & Travis A Whetsell & Pauline Mattsson & Katarina Nordqvist, 2015. "Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-13, July.
  • Handle: RePEc:plo:pone00:0134164
    DOI: 10.1371/journal.pone.0134164
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    Cited by:

    1. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    2. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    3. Seth Oppong, 2023. "Epistemological Allyship," Psychology and Developing Societies, , vol. 35(1), pages 69-86, March.
    4. Gregorio González-Alcaide & Héctor Pinargote & José M. Ramos, 2020. "From cut-points to key players in co-authorship networks: a case study in ventilator-associated pneumonia research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 707-733, May.
    5. Julián D. Cortés & Daniel A. Andrade, 2022. "Winners and runners-up alike?—a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    6. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. R. Bjørk, 2020. "The journals in physics that publish Nobel Prize research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 817-823, February.
    8. Elisabeth Maria Schlagberger & Lutz Bornmann & Johann Bauer, 2016. "At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 723-767, November.
    9. George A. Barnett & Han Woo Park, 2023. "Co-authorship among the Fellows of the International Communication Association," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3401-3418, June.
    10. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
    11. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
    12. Thomas Heinze & Arlette Jappe & David Pithan, 2019. "From North American hegemony to global competition for scientific leadership? Insights from the Nobel population," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    13. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    14. Sichao Tong & Per Ahlgren, 2017. "Evolution of three Nobel Prize themes and a Nobel snub theme in chemistry: a bibliometric study with focus on international collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 75-90, July.
    15. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    16. Wen Lou & Jiangen He & Lingxin Zhang & Zhijie Zhu & Yongjun Zhu, 2023. "Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5767-5790, October.
    17. R. Bjørk, 2019. "The age at which Noble Prize research is conducted," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 931-939, May.
    18. Jelnov, Pavel & Weiss, Yoram, 2022. "Influence in economics and aging," Labour Economics, Elsevier, vol. 77(C).
    19. Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.
    20. Ho-Chun Herbert Chang & Feng Fu, 2021. "Elitism in mathematics and inequality," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
    21. Caroline Wagner, 2016. "Rosalind’s Ghost: Biology, Collaboration, and the Female," PLOS Biology, Public Library of Science, vol. 14(11), pages 1-5, November.
    22. Yinyu Jin & Sha Yuan & Zhou Shao & Wendy Hall & Jie Tang, 2021. "Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2329-2348, March.

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