Sang Eun Woo
- Organizational Behavior and Human Resource Management top 1%
- Social Psychology top 2%
- Sociology and Political Science top 2%
- Clinical Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Louis TayCaitlin M. PorterScott ParrigonAndrew T. JebbJiyoung ParkLouis HickmanDavid G. AllenRachel Saef
- Topics
- Job Satisfaction and Organizational Behavior (14 papers)Personality Traits and Psychology (13 papers)Mental Health Research Topics (8 papers)
- Journals
- Journal of Personality and Social PsychologySHILAP Revista de lepidopterologíaJournal of Applied Psychology
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Sang Eun Woo
58 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Organizational Behavior and Human Resource Management 622
- Social Psychology 620
- Sociology and Political Science 618
- Clinical Psychology 398
- Experimental and Cognitive Psychology 377
Countries citing papers authored by Sang Eun Woo
This map shows the geographic impact of Sang Eun Woo'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 Sang Eun Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Eun Woo more than expected).
Fields of papers citing papers by Sang Eun Woo
This network shows the impact of papers produced by Sang Eun Woo. 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 Sang Eun Woo. The network helps show where Sang Eun Woo may publish in the future.
Co-authorship network of co-authors of Sang Eun Woo
This figure shows the co-authorship network connecting the top 25 collaborators of Sang Eun Woo. A scholar is included among the top collaborators of Sang Eun Woo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang Eun Woo. Sang Eun Woo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 34 | |
| 5 | 88 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 45 | |
| 9 | 120 | |
| 10 | 9 | |
| 11 | 151 | |
| 12 | 18 | |
| 13 | 71 | |
| 14 | 38 | |
| 15 | 124 | |
| 16 | 40 | |
| 17 | 10 | |
| 18 | Use of Student-Institution Fit in College Admissions: Do Applicants Really Know What Is Good for Them?. | 3 |
| 19 | 25 | |
| 20 | 19 |
About Sang Eun Woo
Sang Eun Woo is a scholar working on Applied Psychology, Organizational Behavior and Human Resource Management and Social Psychology, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (14 papers), Personality Traits and Psychology (13 papers) and Mental Health Research Topics (8 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (622 citations), Health Informatics (79 citations) and Applied Psychology (211 citations). Sang Eun Woo has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Louis Tay, Caitlin M. Porter, Scott Parrigon, Andrew T. Jebb, Jiyoung Park, Louis Hickman, David G. Allen, Rachel Saef, Melissa G. Keith and Anna Carmella Ocampo. Their work appears in journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Journal of Applied Psychology.
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.