Stephen Wu
Impact in
- Health top 2%
- Health disparities and outcomes
- General Decision Sciences top 10%
Papers in
- Health 15
- Health disparities and outcomes 12
-
- Housing Market and Economics 4
- Co-authors
- Andrew J. Oswald (7 shared papers)Ann L. Owen (9 shared papers)Julio Videras (3 shared papers)Emily Conover (2 shared papers)Alan B. Krueger (1 shared paper)Lewis Davis (4 shared papers)Harvey S. Rosen (1 shared paper)Daniel J. Wilson (2 shared papers)
- Journals
- Journal of Health Economics (2 papers)The Journal of Human Resources (2 papers)Empirical Economics (1 paper)Economics Letters (1 paper)Economic Inquiry (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stephen Wu
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Health 298
- General Decision Sciences 45
- Social Psychology 459
- Applied Psychology 78
- Neuropsychology and Physiological Psychology 22
Countries citing papers authored by Stephen Wu
This map shows the geographic impact of Stephen Wu'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 Stephen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Wu more than expected).
Fields of papers citing papers by Stephen Wu
This network shows the impact of papers produced by Stephen Wu. 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 Stephen Wu. The network helps show where Stephen Wu may publish in the future.
Co-authors
The 18 scholars most cited alongside Stephen Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 496 | |
| 2 | 2011 | 138 | |
| 3 | 2007 | 108 | |
| 4 | 2003 | 94 | |
| 5 | 2003 | 84 | |
| 6 | 2010 | 75 | |
| 7 | 2011 | 45 | |
| 8 | 2000 | 34 | |
| 9 | 2014 | 33 | |
| 10 | 2012 | 33 | |
| 11 | 2003 | 25 | |
| 12 | 2006 | 20 | |
| 13 | 2011 | 20 | |
| 14 | 2013 | 19 | |
| 15 | 2005 | 14 | |
| 16 | 2005 | 12 | |
| 17 | 2011 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2018 | 8 |
About Stephen Wu
Stephen Wu is a scholar working on Health, Economics and Econometrics, Social Psychology, Sociology and Political Science and General Health Professions, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Psychological Well-being and Life Satisfaction (12 papers), Health disparities and outcomes (12 papers), Global Health Care Issues (9 papers), Financial Literacy, Pension, Retirement Analysis (7 papers), Urban, Neighborhood, and Segregation Studies (5 papers), Housing Market and Economics (4 papers), Innovations in Educational Methods (4 papers) and Experimental Behavioral Economics Studies (3 papers). The work is most often cited by research in Health (298 citations), General Decision Sciences (45 citations), Social Psychology (459 citations), Applied Psychology (78 citations) and Neuropsychology and Physiological Psychology (22 citations). Stephen Wu has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew J. Oswald, Ann L. Owen, Julio Videras, Emily Conover, Alan B. Krueger, Lewis Davis, Harvey S. Rosen, Daniel J. Wilson, Mary C. Daly and Paul Hagstrom. Their work appears in journals such as Journal of Health Economics, The Journal of Human Resources, Empirical Economics, Economics Letters and Economic Inquiry.
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.