Evidence map›Paper›PMID 40694335›Full record

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

Tenure and research trajectories.

Giorgio Tripodi, Xiang Zheng, Yifan Qian, Dakota Murray, Benjamin F Jones, Chaoqun Ni, Dashun Wang

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The rise of large language models and the direction and impact of US federal research funding.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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

7 authors.

Giorgio Tripodi *Center for Science of Science and Innovation, Northwestern University, Evanston, IL 60208.ORCID 0009-0000-9131-5662
Xiang Zheng *Information School, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0002-6619-5504
Yifan Qian *Center for Science of Science and Innovation, Northwestern University, Evanston, IL 60208.ORCID 0000-0002-3914-1981
Dakota MurrayNetwork Science Institute, Northeastern University, Boston, MA 02115.ORCID 0000-0002-7119-0169
Benjamin F JonesCenter for Science of Science and Innovation, Northwestern University, Evanston, IL 60208.ORCID 0000-0001-9697-9388
Chaoqun NiInformation School, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0002-4130-7602
Dashun WangCenter for Science of Science and Innovation, Northwestern University, Evanston, IL 60208.ORCID 0000-0002-7054-2206

Funding

AHRQ HHS R36 HS018809NSF (NSF) 2404035
6 · The paper itself

Abstract

Tenure is a cornerstone of the US academic system, yet its relationship to faculty research trajectories remains poorly understood. Conceptually, tenure systems may act as a selection mechanism, screening in high-output researchers; a dynamic incentive mechanism, encouraging high output prior to tenure but low output after tenure; and a creative search mechanism, encouraging tenured individuals to undertake high-risk work. Here, we integrate data from seven different sources to trace US tenure-line faculty and their research outputs at a remarkable scale and scope, covering over 12,000 researchers across 15 disciplines. Our analysis reveals that faculty publication rates typically increase sharply during the tenure track and peak just before obtaining tenure. Post-tenure trends, however, vary across disciplines: In lab-based fields, such as biology and chemistry, research output typically remains high post-tenure, whereas in non-lab-based fields, such as mathematics and sociology, research output typically declines substantially post-tenure. Turning to creative search, faculty increasingly produce novel, high-risk research after securing tenure. However, this shift toward novelty and risk-taking comes with a decline in impact, with post-tenure research yielding fewer highly cited papers. Comparing outcomes across common career ages but different tenure years or comparing research trajectories in tenure-based and non-tenure-based research settings underscores that breaks in the research trajectories are sharply tied to the individual's tenure year. Overall, these findings provide an empirical basis for understanding the tenure system, individual research trajectories, and the shape of scientific output.

Indexed as

Career MobilityFacultyResearchResearch PersonnelHumansUnited Statescareer trajectorycomputational social scienceinnovationscience of sciencetenure

Identifiers

PMID40694335
PMCPMC12318195

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.