Serena Wee

1.3k citations
41 papers · 894 · h-index 16

Impact in

Papers in

Serena Wee

36 papers receiving 833 citations

Peers

Serena Wee
Comparison fields: 5 of 115
  • Organizational Behavior and Human Resource Management 162
  • Social Psychology 313
  • Experimental and Cognitive Psychology 167
  • Clinical Psychology 253
  • General Decision Sciences 20
Replace Samuel T. McAbee with:
Samuel T. McAbee United States
Gary N. Burns United States
Sanaz Talaifar United States
Gabriel Lins de Holanda Coelho Brazil
Siegfried Macho Switzerland
Patrick J. Ewell United States
Bennett E. Postlethwaite United States
David Chan Hong Kong
Benjamin D Douglas United States
Serena Wee relative to Samuel T. McAbee United States Samuel T. McAbee's profile →
Citations per field
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Samuel T. McAbee · 1×
Citations per year

Countries citing papers authored by Serena Wee

Since Specialization
Citations

This map shows the geographic impact of Serena Wee'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 Serena Wee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Wee more than expected).

Fields of papers citing papers by Serena Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serena Wee. 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 Serena Wee. The network helps show where Serena Wee may publish in the future.

Co-authors

The 25 scholars most cited alongside Serena Wee, 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 Serena Wee Line = papers co-authored together Serena Wee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 2009104
3 201497
4 200985
5 202266
6 200864
7 202142
8 201333
9 202131
10 202229
11 201426
12 202226
13 201724
14 201118
15 200415
16 202215
17 202113
18 202013
19 201812
20 20208

About Serena Wee

Serena Wee is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Organizational Behavior and Human Resource Management, Sociology and Political Science and Gender Studies, having authored 41 papers that have together received 894 indexed citations. Recurring topics across this work include Personality Traits and Psychology (7 papers), Gender Diversity and Inequality (7 papers), Job Satisfaction and Organizational Behavior (7 papers), Social and Intergroup Psychology (6 papers), Cognitive Abilities and Testing (5 papers), Emotional Intelligence and Performance (4 papers), Evolutionary Psychology and Human Behavior (4 papers) and Human-Automation Interaction and Safety (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (162 citations), Social Psychology (313 citations), Experimental and Cognitive Psychology (167 citations), Clinical Psychology (253 citations) and General Decision Sciences (20 citations). Serena Wee has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Peter K. Jonason, Norman P. Li, Aaron S. Benjamin, Q. Chelsea Song, Patrick D. Dunlop, Daniel A. Newman, Chris J. Jackson, Nathan R. Kuncel, Sarah A. Hezlett and Bradley J. Brummel. Their work appears in journals such as Journal of Applied Psychology, International Journal of Selection and Assessment, Industrial and Organizational Psychology, Small Group Research and Journal of Intelligence.

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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