Lin Bian

2.3k citations
31 papers · 1.6k · 1 hit paper · h-index 12

Impact in

Papers in

Lin Bian

28 papers receiving 1.4k citations

Lin Bian's Hit Papers

Gender stereotypes about intellectual ability emerge early and influence children’s interests 2017 · 806 citations
8060+3+6Years since publication250500750

Peers

Lin Bian
Comparison fields: 5 of 82
  • Safety Research 455
  • Developmental and Educational Psychology 474
  • Gender Studies 304
  • Experimental and Cognitive Psychology 299
  • Sociology and Political Science 261
Replace Konrad Schnabel with:
Konrad Schnabel Germany
Jennifer R. Steele Canada
Bogdan Tudor Tulbure Romania
Sarah E. Martiny Norway
Kimihiro Shiomura Japan
Jill M. Allen United States
Anke Heyder Germany
Sabrina Zirkel United States
Ursula Kessels Germany
Elizabeth J. Parks‐Stamm United States
Lin Bian relative to Konrad Schnabel Germany Konrad Schnabel's profile →
Citations per field
00.5×2×3×4.4×
Konrad Schnabel · 1×
Citations per year

Countries citing papers authored by Lin Bian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Lin Bian Line = papers co-authored together Lin Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gender stereotypes about intellectual ability emerge early and influence children’s interests
Hit paper breakdown →
2017806
2 2015171
3 2018138
4 2018101
5 201885
6 201481
7 202228
8 201720
9 202219
10 202218
11 201914
12 202013
13 202310
14 20248
15 20207
16 20245
17 20214
18 20224
19 20254
20 20233

About Lin Bian

Lin Bian is a scholar working on Developmental and Educational Psychology, Safety Research, Experimental and Cognitive Psychology, Sociology and Political Science and Gender Studies, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (13 papers), Child and Animal Learning Development (11 papers), Education, Achievement, and Giftedness (11 papers), Career Development and Diversity (10 papers), Science Education and Perceptions (4 papers), Nutrition, Health and Food Behavior (3 papers), Psychology of Moral and Emotional Judgment (2 papers) and Critical Race Theory in Education (1 paper). The work is most often cited by research in Safety Research (455 citations), Developmental and Educational Psychology (474 citations), Gender Studies (304 citations), Experimental and Cognitive Psychology (299 citations) and Sociology and Political Science (261 citations). Lin Bian has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Andrei Cimpian, Sarah‐Jane Leslie, Renée Baillargeon B, Rose M. Scott, Stephanie M. Sloane, Mary Claire Murphy, Ellen M. Markman, Kyong‐sun Jin, Zijing He and Di Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Developmental Psychology, Child Development, Appetite and Psychological Science.

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.

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