Lin Bian
Impact in
- Gender Studies top 2%
- Gender Roles and Identity Studies
- Gender Diversity and Inequality
- Safety Research top 2%
- Career Development and Diversity
Papers in
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- Social and Intergroup Psychology 4
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- Psychology of Moral and Emotional Judgment 2
- Co-authors
- Andrei Cimpian (3 shared papers)Sarah‐Jane Leslie (3 shared papers)Renée Baillargeon (3 shared papers)Rose M. Scott (1 shared paper)Mary C. Murphy (1 shared paper)Stephanie Sloane (1 shared paper)Kyong‐sun Jin (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Sex Roles (1 paper)Annual Review of Psychology (1 paper)Journal of Experimental Social Psychology (1 paper)American Psychologist (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Lin Bian
7 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Gender Studies 328
- Safety Research 265
- Developmental and Educational Psychology 299
- Experimental and Cognitive Psychology 288
- Social Psychology 289
Countries citing papers authored by Lin Bian
This map shows the geographic impact of Lin Bian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lin Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Bian more than expected).
Fields of papers citing papers by Lin Bian
This network shows the impact of papers produced by Lin Bian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lin Bian. The network helps show where Lin Bian may publish in the future.
Co-authors
The 7 scholars most cited alongside Lin Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Gender stereotypes about intellectual ability emerge early and influence children’s interests Hit paper breakdown → | 2017 | 691 |
| 2 | 2015 | 139 | |
| 3 | 2018 | 121 | |
| 4 | 2018 | 71 | |
| 5 | 2018 | 71 | |
| 6 | 2022 | 10 | |
| 7 | 2025 | 1 |
About Lin Bian
Lin Bian is a scholar working on Sociology and Political Science, Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Gender Studies, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (4 papers), Child and Animal Learning Development (3 papers), Education, Achievement, and Giftedness (2 papers), Psychology of Moral and Emotional Judgment (2 papers), Gender Diversity and Inequality (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Language Development and Disorders (1 paper) and Creativity in Education and Neuroscience (1 paper). The work is most often cited by research in Gender Studies (328 citations), Safety Research (265 citations), Developmental and Educational Psychology (299 citations), Experimental and Cognitive Psychology (288 citations) and Social Psychology (289 citations). Lin Bian has collaborated with scholars based in United States and South Korea. Frequent co-authors include Andrei Cimpian, Sarah‐Jane Leslie, Renée Baillargeon, Rose M. Scott, Mary C. Murphy, Stephanie Sloane and Kyong‐sun Jin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Sex Roles, Annual Review of Psychology, Journal of Experimental Social Psychology and American Psychologist.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.