Skip to content
DraconiticResearch
Search Sources API
190,851 studies31 sourcesUpdated 58 min ago
Peer-reviewedCC BY 4.0Proceedings of the National Academy of Sciences of the United States of America

Scientists disrupt less but more persistently with career aging

4 affiliations
  1. 1National Science Library, Chinese Academy of Sciences, Beijing 100190, China
  2. 2Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
  3. 3Department of Physics, Bar-Ilan University, Ramat-Gan 5290002, Israel
  4. 4School of Systems Science, Beijing Normal University, Beijing 100875, China

Abstract

Disruption describes the extent to which a scientific work overturns the prior knowledge on which it builds and leads to a new line of research. A scientist’s tendency to produce disruptive work has been found recently to decline over the career. However, the disruption index captures only how strongly a paper overturns prior work and ignores whether that disruption is later accepted or overturned by subsequent research. The persistent disruption (PD) framework adds this second perspective, identifying work that disrupts prior research and is then consolidated rather than displaced by later work. We examine how PD evolves over the career and find the opposite pattern: The probability of producing a persistent disruptive paper increases with career age. Senior scientists disrupt prior work less often compared to young, but once they do, the disruption tends to persist rather than being quickly superseded. Our results suggest that this reversal feature is due to the experience and we corroborate it across several dimensions of recognition. We also show that, at a fixed level of disruptiveness, the more senior the scientist is, it attracts more citations, social-media attention, and research grants. Nobel laureates also show delayed persistent disruptions. They exhibit high disruptive ability early in their careers, yet their prize-winning work appears years later. This lag further indicates that experience is needed to turn disruptive ability into the field’s most celebrated contributions.

Related

  1. The more you automate, the less you see: Hidden pitfalls of autonomous AI scientists.
    Ziming Luo, Atoosa Kasirzadeh, Nihar B Shah
    Proceedings of the National Academy of Sciences of the United States of AmericaPeer-reviewedCC BYFull textMolecular biology & gene regulationEurope PMC
  2. Authorship responsibilities of scientists who use AI research agents.
    David B Resnik, Mohammad Hosseini, Robert T Pennock
    Frontiers in geneticsPeer-reviewedCC BYFull textGeneral biochemistryEurope PMC
  3. Antisense oligonucleotides targeting transcription termination windows disrupt mRNA 3’ end processing and decrease gene expression
    Kinga Winczura, Lars Joenson, Erich Koller +2
    Nature CommunicationsPeer-reviewedCC BY-NC-ND 4.0Full text2 citedMolecular biology & gene regulationCrossref
  4. De novo structural variants in autism spectrum disorder disrupt distal regulatory interactions of neuronal genes
    Ketrin Gjoni, Xingjie Ren, Amanda Everitt +2
    Genome ResearchPreprintLicence not stated7 citedMolecular biology & gene regulationOpenAlex
  5. Liang-Wang syndrome-associated variants in the BK potassium channel KCNMA1 disrupt channel trafficking and gating
    Chi Zhang, Nina-Maria Wilpert, Tie Ke +4
    Journal of Biological ChemistryPeer-reviewedCC BY 4.0Molecular biology & gene regulationCrossref
BibTeX
@article{deng2026scientists,
  title = {{Scientists disrupt less but more persistently with career aging}},
  author = {Nan Deng and Liying Yang and Shlomo Havlin and An Zeng},
  journal = {Proceedings of the National Academy of Sciences of the United States of America},
  year = {2026},
  month = oct,
  doi = {10.1073/pnas.2626763123},
  url = {https://doi.org/10.1073/pnas.2626763123},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Scientists disrupt less but more persistently with career aging
AU  - Nan Deng
AU  - Liying Yang
AU  - Shlomo Havlin
AU  - An Zeng
PY  - 2026
DA  - 2026/10/19
JO  - Proceedings of the National Academy of Sciences of the United States of America
DO  - 10.1073/pnas.2626763123
UR  - https://doi.org/10.1073/pnas.2626763123
AB  - Disruption describes the extent to which a scientific work overturns the prior knowledge on which it builds and leads to a new line of research. A scientist’s tendency to produce disruptive work has been found recently to decline over the career. However, the disruption index captures only how strongly a paper overturns prior work and ignores whether that disruption is later accepted or overturned by subsequent research. The persistent disruption (PD) framework adds this second perspective, identifying work that disrupts prior research and is then consolidated rather than displaced by later work. We examine how PD evolves over the career and find the opposite pattern: The probability of producing a persistent disruptive paper increases with career age. Senior scientists disrupt prior work less often compared to young, but once they do, the disruption tends to persist rather than being quickly superseded. Our results suggest that this reversal feature is due to the experience and we corroborate it across several dimensions of recognition. We also show that, at a fixed level of disruptiveness, the more senior the scientist is, it attracts more citations, social-media attention, and research grants. Nobel laureates also show delayed persistent disruptions. They exhibit high disruptive ability early in their careers, yet their prize-winning work appears years later. This lag further indicates that experience is needed to turn disruptive ability into the field’s most celebrated contributions.
SN  - 0027-8424
SN  - 1091-6490
ER  -