Mo Wang

22.0k citations
374 papers · 15.0k indexed · 10 hit papers · h-index 64

Mo Wang

353 papers receiving 14.4k citations

Hit Papers

The relationship between...32820092026201420202505007501000

Peers

Mo Wang
Comparison fields: 5 of 215
  • Organizational Behavior and Human Resource Management 5.3k
  • Neuropsychology and Physiological Psychology 486
  • Demography 3.2k
  • Social Psychology 3.6k
  • Applied Psychology 827
Replace Michael Fresé with:
Michael Fresé Germany
Sharon K. Parker Australia
Peter Warr United Kingdom
Sharan B. Merriam United States
Charles E. Lance United States
Daniel J. Bauer United States
Robert J. Vandenberg United States
Charles W. Mueller United States
Anthony S. Bryk United States
Jeffrey R. Edwards United States
Mo Wang relative to Michael Fresé Germany Michael Fresé's profile →
Citations per field
00.5×1.5×2.3×
Michael Fresé · 1×
Citations per year

Countries citing papers authored by Mo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 202410
6 20235
7 202317
8 202212
9 202236
10 202135
11 202051
12 201947
13 201932
14 201963
15 201543
16 201525
17 2014194
18
Recharging or Retiring Older Workers? Uncovering the Age-Based Strategies of European Employers
20140
19
Goal orientation-based information seeking: A conceptual and empirical foundation
20101
20 200778

About Mo Wang

Mo Wang is a scholar working on Organizational Behavior and Human Resource Management, Neuropsychology and Physiological Psychology and Demography, having authored 374 papers that have together received 15.0k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (86 papers), Retirement, Disability, and Employment (71 papers), Employment and Welfare Studies (45 papers), Workplace Health and Well-being (33 papers), Work-Family Balance Challenges (20 papers), Social and Intergroup Psychology (16 papers), Behavioral Health and Interventions (15 papers) and Aging and Gerontology Research (14 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (5.3k citations), Neuropsychology and Physiological Psychology (486 citations) and Demography (3.2k citations). Mo Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Junqi Shi, Kenneth S. Shultz, Songqi Liu, Andreas Hirschi, Yaping Gong, Yujie Zhan, Simone Kauffeld, Domingo Campillo Valero, Daniel Spurk and Hui Liao. Their work appears in journals such as Journal of Applied Psychology, Journal of Management, Personnel Psychology, Journal of Vocational Behavior and Academy of Management Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026