Evidence map›Paper›PMID 42389105›Full record

ArticleFrontiers in psychology2026

The value of interdisciplinary exposure: how university disciplinary diversity shapes research productivity of PhD students.

Shijiao Cao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

1 author.

Shijiao CaoBusiness School, Chengdu University of Technology, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: PhD students at different universities face varying opportunities for interdisciplinary exposure, which may influence their academic performance. This study empirically investigates how university disciplinary diversity, which creates a context for the sharing and transfer of interdisciplinary knowledge, is associated with PhD student research productivity. Methods: This study proposes a novel measure of university-level disciplinary diversity and employs Poisson regression to examine its impact on PhD students' research productivity, controlling for a range of individual-, supervisor-, and institution-level factors, based on a sample of 1,418 accounting dissertations submitted to Chinese universities between 1999 and 2022. Results: While a linear model points to an aggregate negative effect of university disciplinary diversity on PhD students' research productivity, detailed analyses reveal a more nuanced inverted U-shaped relationship, suggesting that moderate levels of disciplinary diversity facilitate research productivity, and that the optimal level of diversity increases with a university's overall resources. Further analyses uncover that the negative effect is concentrated in universities with greater disciplinary imbalance or those that expand into too many irrelevant disciplines. Additionally, evidence indicates that PhD students at universities with higher disciplinary diversity are more likely to engage in interdisciplinary research and produce work with greater impact. Discussion: This study sheds new light on how interdisciplinary exposure is associated with PhD students' research productivity and offers practical implications for doctoral training. Engaging with interdisciplinary knowledge may help students identify innovative research questions and produce novel insights, underscoring the value of maintaining adequate disciplinary diversity at the university level.

Indexed as

disciplinary diversityinterdisciplinary exposureinterdisciplinary researchPhD studentresearch productivity

Identifiers

PMID42389105
PMCPMC13319028

What OpenQuestion holds

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LicenceCC BY
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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.