Senhu Wang

69 papers receiving 1.4k citations

Senhu Wang's Hit Papers

Prevalence and predictors of general psychiatric disorders and loneliness during COVID-19 in the United Kingdom 2020 · 417 citations
4170+2+4Years since publication100200300400

Peers

Senhu Wang
Comparison fields: 5 of 108
  • Health 182
  • Clinical Psychology 401
  • General Health Professions 350
  • Gender Studies 112
  • Demography 125
Replace Janelle Jones with:
Janelle Jones United Kingdom
Cara Booker United Kingdom
Tyson H. Brown United States
Amanuel Elias Australia
Silvia Mendolia Australia
Katelyn K. Jetelina United States
Whitney N. Laster Pirtle United States
Gonzalo Bacigalupe United States
Mikael Rostila Sweden
Stephanie Steinmetz Netherlands
Senhu Wang relative to Janelle Jones United Kingdom Janelle Jones's profile →
Citations per field
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Citations per year

Countries citing papers authored by Senhu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Senhu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence and predictors of general psychiatric disorders and loneliness during COVID-19 in the United Kingdom
Hit paper breakdown →
2020417
2 201990
3 202177
4 202058
5 202249
6 202145
7 202240
8 201834
9 202032
10 202231
11 202228
12 201924
13 201823
14 202123
15 202122
16 202320
17 202020
18 202219
19 202318
20 201918

About Senhu Wang

Senhu Wang is a scholar working on Sociology and Political Science, General Health Professions, Demography, Health and Gender Studies, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Employment and Welfare Studies (28 papers), Work-Family Balance Challenges (22 papers), Retirement, Disability, and Employment (13 papers), Health disparities and outcomes (12 papers), Gender, Labor, and Family Dynamics (8 papers), COVID-19 and Mental Health (7 papers), Workplace Health and Well-being (7 papers) and Family Dynamics and Relationships (6 papers). The work is most often cited by research in Health (182 citations), Clinical Psychology (401 citations), General Health Professions (350 citations), Gender Studies (112 citations) and Demography (125 citations). Senhu Wang has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Lambert Zixin Li, Adam Coutts, Brendan Burchell, Daiga Kamerāde, Stephen X. Zhang, Hei Wan Mak, Shun Gong, Daisy Fancourt, Renfei Gao and Yang Hu. Their work appears in journals such as American Journal of Health Behavior, BMC Public Health, International Journal of Environmental Research and Public Health, Social Science & Medicine and Social Science Research.

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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