Stephen Wu

2.0k citations
47 papers · 1.4k indexed · h-index 15

Impact in

Papers in

    • Health disparities and outcomes 12
    • Financial Literacy, Pension, Retirement Analysis 7

Stephen Wu

43 papers receiving 1.3k citations

Peers

Stephen Wu
Comparison fields: 5 of 105
  • Health 329
  • General Decision Sciences 45
  • Social Psychology 474
  • Neuropsychology and Physiological Psychology 24
  • Applied Psychology 81
Replace Conchita D’Ambrosio with:
Conchita D’Ambrosio Luxembourg
Jan‐Emmanuel De Neve United Kingdom
Stefanie Schurer Australia
Joachim R. Frick Germany
Sonja C. de New Australia
Ramani Gunatilaka United Kingdom
B.M.S. van Praag Netherlands
Christopher J. Boyce United Kingdom
Malgorzata Switek United States
Ruud Muffels Netherlands
Stephen Wu relative to Conchita D’Ambrosio Luxembourg Conchita D’Ambrosio's profile →
Citations per field
00.5×2.7×
Conchita D’Ambrosio · 1×
Citations per year

Countries citing papers authored by Stephen Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 22 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.

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 20240
5 20197
6 20187
7 20149
8 20138
9 20122
10 201232
11 2011135
12 20103
13 201075
14 20074
15 2007106
16 20051
17 20033
18 200325
19 20017
20 200034

About Stephen Wu

Stephen Wu is a scholar working on Health, Accounting, Social Psychology, Demography and General Decision Sciences, having authored 47 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), Innovations in Educational Methods (4 papers), Housing Market and Economics (4 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Health (329 citations), General Decision Sciences (45 citations), Social Psychology (474 citations), Neuropsychology and Physiological Psychology (24 citations) and Applied Psychology (81 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, Mary C. Daly, Daniel J. Wilson and Paul Hagstrom. Their work appears in journals such as Journal of Health Economics, The Journal of Human Resources, Review of Economics of the Household, Journal of Financial Economics and Empirical Economics.

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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