Achieving competitive advantage in academia through early career coauthorship with top scientists

Weihua Li; Tomaso Aste; Fabio Caccioli; Giacomo Livan

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Achieving competitive advantage in academia through early career coauthorship with top scientists

Weihua Li, Tomaso Aste, Fabio Caccioli, Giacomo Livan

arXiv:1906.04619v1Jun 11, 2019physics.soc-phcs.DLcs.SI

TL;DR

The paper asks whether early coauthorship with established top-cited scientists affects junior researchers’ long-term academic impact. Using matched pairs of researchers with similar early career profiles, it finds a persistent competitive advantage, strongest for those at less prestigious institutions, while noting that the analysis cannot definitively separate collaboration effects from the possibility that top scientists attract the best students.

Problem
Identifying early indicators of lasting academic impact is difficult because productivity fluctuates and major career successes are unpredictable.
Method
The study uses matched pairs of junior researchers with similar institutional prestige, productivity, and citation impact, differing in whether one coauthored with a top scientist during the first three career years.
Results
Early coauthorship with a top scientist yields a persistent competitive advantage, including a higher probability of repeating such collaborations and eventually becoming a top scientist.
Takeaways & Limitations
The advantage is strongest for junior researchers at less prestigious institutions, suggesting that access to top scientists may help reveal untapped potential there.
Takeaways & Limitations
The analysis cannot definitively control for the possibility that established top scientists attract the very best students, leaving an ineradicable confounding factor.

Abstract

from arXiv · show

We quantify the long term impact that the coauthorship with established top-cited scientists has on the career of junior researchers in four different scientific disciplines. Through matched pair analysis, we find that junior researchers who coauthor work with top scientists enjoy a persistent competitive advantage throughout the rest of their careers with respect to peers with similar early career profiles. Such a competitive advantage materialises as a higher probability of repeatedly coauthoring work with top-cited scientists, and, ultimately, as a higher probability of becoming one. Notably, we find that the coauthorship with a top scientist has the strongest impact on the careers of junior researchers affiliated with less prestigious institutions. As a consequence, we argue that such institutions may hold vast amounts of untapped potential, which may be realised by improving access to top scientists.

I. INTRODUCTION

The paper examines how early career conditions and interactions with established scientists shape long-term academic impact, using citation-based measures and matched comparisons. It argues that coauthoring with top scientists can create a persistent advantage, especially for junior researchers outside prestigious institutions.

Citation-based metrics are widely used as a proxy for academic impact because citations are consistently recorded and inform scholar rankings and career advancement.
Identifying early indicators of lasting academic impact is difficult because measurable career features may have limited predictive power, productivity fluctuates, and greatest hits are unpredictable.
A researcher’s visibility can give similarly qualified peers’ work a competitive advantage, but visibility includes semi-qualitative factors that are difficult to measure.
Institutional prestige correlates with long-term academic impact, including higher productivity and a greater probability of securing tenure.
The social factor is particularly difficult to quantify for junior researchers because their academic networks are relatively sparse compared with established scientists.
The study tests whether a single early coauthorship with a top scientist produces lasting career benefits using a matched pair design comparing researchers with similar early profiles.

II. RESULTS

Across four disciplines, early coauthorship with top scientists is associated with persistent advantages in later impact and repeated access to top collaborators. The advantage is strongest among junior researchers with less elite early-career profiles, while matched analyses and regressions show the association remains after accounting for early prestige, productivity, and citations.

Definitions: Top scientist: a researcher in the top 5% of cited authors in her discipline in a given year.In more than 95% of cases, researchers who become top scientists remain so until the end of their careers.
Study population: 22,601 researchers across Cell Biology, Chemistry, Physics, and Neuroscience met the study’s career and publication criteria.Researchers began their careers between 1980 and 1998, lasted at least 20 years, had at least 10 publications, and published at least once every five years.
Institutional prestige: Coauthorship with top scientists was positively associated with institutional prestige and long-run probability of becoming a top scientist, regardless of prestige level.Researchers with top coauthors achieved better-than-average impact across institutional-prestige levels, whereas most researchers without top coauthors fell below the unconditional probability.
Early-performance groups: 15.7% to 27.2%: coauthorship with a top scientist almost doubled the probability of becoming a top scientist for researchers outside the top 10% of every early-performance category.The increase was larger in less exclusive groups; no difference was found for researchers in the top 10% of institutional prestige, productivity, and citations simultaneously.
Long-term outcomes: Statistically significant advantages appeared across all four disciplines in later impact and repeated access to top scientists.Treatment researchers subsequently coauthored with more different top scientists and had more individual coauthorship events; logistic-regression odds ratios were 1.19, 1.15, 1.14, and 1.14 for Cell Biology, Chemistry, Neuroscience, and Physics, respectively.

III. DISCUSSION

Early coauthorship with a top scientist is associated with a persistent career advantage, reflected in repeated access to top scientists and eventual advancement to top-scientist status. The effect is strongest for junior researchers in less prestigious institutions, although the analysis cannot definitively separate collaboration effects from selection of exceptional students.

III. DISCUSSION: Junior researchers who coauthor with a top scientist in their first three career years achieve a persistent advantage over comparable peers.The advantage remains detectable over long academic careers.
III. DISCUSSION: The evidence cannot definitively determine whether the advantage reflects exceptional students being selected by top scientists or the collaboration itself.Top scientists may attract the very best students, creating an ineradicable confounding factor.
III. DISCUSSION: Early collaboration does not launch every successful career: junior researchers already strongest in institutional prestige, productivity, or impact have the highest probability of becoming top scientists.Other junior researchers may experience a shift in career trajectory after collaborating with a top scientist.
III. DISCUSSION: The advantage operates through a higher probability of repeating top-scientist collaborations and eventually becoming a top scientist.The authors describe this as a “rich-get-richer” mechanism.
III. DISCUSSION: Matched-pair results indicate that interaction with a top scientist during the first three career years can permanently separate otherwise similar career trajectories.The authors interpret this as evidence that academic institutions contain potential that may remain unrealized because of limited opportunity.
III. DISCUSSION: Junior researchers in less prestigious institutions are the most positively affected when given an opportunity to work with a top scientist.The authors suggest that top scientists may help unlock this growth potential.

Appendix A: Data

The study assembled publication and citation data from four disciplines using Web of Science records, selected journal sets, and disambiguated author identities. The resulting dataset contains hundreds of thousands of papers and more than 70,000 authors across the disciplines.

Appendix A: Data: The data cover Cell Biology, Chemistry, Neuroscience, and Physics using publication and citation records indexed in Web of Science.Records include authors and institutional affiliations for papers published since 1970.
Appendix A: Data: The study retained standard research articles and review articles while excluding letters and editorials from the analysis dataset.These output types were treated as the usual outputs of research efforts.
Appendix A: Data: Journals were selected from major society publishers in Chemistry and Physics, and by a 10,000-citation threshold for Cell Biology and Neuroscience.Chemistry used 42 ACS journals and Physics used 9 APS journals.
Appendix A: Data: 226,362 papers and 71,794 authors were retained for Cell Biology; Chemistry included 524,639 papers and 123,513 authors.The dataset also includes Neuroscience and Physics records.
Appendix A: Data: Author names were disambiguated, and only authors with at least 10 citations in their final career year were retained.The final counts were 395,246 papers and 102,074 authors in Neuroscience, and 412,063 papers and 80,218 authors in Physics.

Appendix B: Institutional prestige score

Institutional prestige is measured using publication-based scores derived from the Nature Index. Paper and researcher prestige scores are then calculated by averaging the institutional prestige scores associated with their authors or papers.

Appendix B: Institutional prestige score: Institutional prestige is measured using the Nature Index, which ranks universities and research institutions by publications in expert-selected journals.The study applies this measure across Cell Biology, Chemistry, Neuroscience, and Physics.
Appendix B: Institutional prestige score: A paper’s prestige score is the average prestige score of its authors’ institutions.This aggregates the institutional affiliations represented on the paper.
Appendix B: Institutional prestige score: A researcher’s prestige score is the average prestige score of her papers.The score therefore summarizes the institutional prestige associated with the researcher’s publication record.
Appendix B: Institutional prestige score: For institution i, P nat_i denotes the number of publications by researchers affiliated with that institution in the Nature Index journal list since 1970.This publication count forms part of the institutional prestige calculation.

Appendix C: Lists of journals

The appendices list the journal sets used for Cell Biology, Chemistry, Neuroscience, and Physics. These include discipline-specific journals and, for Chemistry and Physics, society-publisher portfolios.

Appendix C: Lists of journals: The Cell Biology journal set includes journals such as Cell, Cancer Cell, Cell Metabolism, and Cell Research.The list spans physiology, molecular biology, oncology, and cellular research venues.
Appendix C: Lists of journals: The Chemistry journal set consists of American Chemical Society publications, including ACS Catalysis, ACS Nano, and Analytical Chemistry.The appendix identifies these as journals published by the American Chemical Society.
Appendix C: Lists of journals: The Neuroscience journal set includes venues such as Brain, Cerebral Cortex, Journal of Neuroscience, and Human Brain Mapping.The listed journals cover experimental, clinical, and cognitive neuroscience.
Appendix C: Lists of journals: The Physics journal set includes Physical Review A–E, Physical Review Letters, Physical Review Applied, and Physical Review X.These venues are published within the Physical Review portfolio.

Appendix D: Supplementary tables and figures

The supplementary appendix compares junior researchers who coauthored with a top scientist against matched peers across long-term outcomes and four disciplines. Figures group researchers by early-career institutional prestige, productivity, and citations, while Table II evaluates matched-pair performance across career years 1–20 and 4–20.

Supplementary tables: Table II matches researchers on institutional prestige, citations, and papers published during their first 3 career years.Treatment researchers coauthored at least one paper with a top scientist.
Supplementary tables: Table II compares matched pairs on citations, later citation impact, and subsequent coauthorship with top scientists.The listed outcomes include citations in career years 1–20, citations in years 4–20, citations per paper, and repeated top-scientist coauthorship measures.
Supplementary figures: Figures 4–7 classify junior researchers by whether they rank in the top 10% for institutional prestige, productivity, or citations during their first 3 career years.The figures cover Cell Biology, Chemistry, Neuroscience, and Physics.
Supplementary figures: Figures 4–7 report the probability of being a top scientist in the 20th career year for each early-performance group.The comparisons distinguish researchers who did and did not coauthor with a top scientist during their first 3 career years.
Supplementary figures: Figures 4–7 also report citations received per paper published between career years 4 and 20 for each early-performance group.Statistical significance is assessed with t-tests, using ∗, ∗∗, and ∗∗∗ for p < 0.05, p < 0.01, and p < 0.001.