Evidence map›Paper›PMID 41021802›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

The distinctive innovation patterns and network embeddedness of scientific prizewinners.

Chaolin Tian, Yurui Huang, Ching Jin, Yifang Ma, Brian Uzzi

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chaolin TianDepartment of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.ORCID 0000-0001-7172-9702
Yurui HuangDepartment of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.ORCID 0009-0001-0800-4175
Ching JinCentre for Interdisciplinary Methodologies, Faculty of Social Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
Yifang MaDepartment of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China.ORCID 0000-0003-0326-7993
Brian UzziNorthwestern Institute on Complex Systems, Kellogg School of Management, Northwestern University, Evanston, IL 60208.ORCID 0000-0001-6855-2854

Funding

Air Force Office of Scientific Research under Minerva FA9550-19-1-0354MOST | National Natural Science Foundation of China (NSFC) 62006109; 12031005UKRI Metascience Research Grants OPP569
6 · The paper itself

Abstract

Science prizes purportedly reward innovation and explorations of new phenomena. Yet in practice, prizes may inadvertently divert resources from similarly impactful but less celebrated scholars. Despite this paradox, and even as prizes proliferate, knowledge of how prizewinning relates to innovation is nascent. Analyzing 2,460 worldwide prizes, we compared the innovativeness of over 23,000 prizewinners and matched nonprizewinners whose performance records were statistically equivalent up to the prize year. First, we find that prizewinners are more innovative. Their research is more likely to combine existing ideas in new ways, integrate a topic's historical and contemporary thinking, and incorporate interdisciplinary perspectives. Second, although prizewinners and matched nonprizewinners have statistically equivalent impact and productivity records up to the prize year, at about five years before the prize, prizewinners' papers become more innovative than their matched peers. This difference widens each year, peaks during the prize year, and then persists for the remainder of their careers. Third, network embeddedness predicts unusual innovativeness. Compared to nonprizewinners, prizewinners' collaborations are shorter in duration, encompass wider exposure to unfamiliar topics, and involve coauthors whose networks minimally overlap with each other. The findings' implications for innovation in science and the efficacy of reward systems and innovation in science are discussed.

Indexed as

embeddednessinnovationMatthew effectsscience of sciencescience prizes

Identifiers

PMID41021802
PMCPMC12519080

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.