Jing Wen

1.2k citations
44 papers · 655 · h-index 14

Impact in

Papers in

Jing Wen

39 papers receiving 633 citations

Peers

Jing Wen
Comparison fields: 5 of 117
  • Clinical Psychology 185
  • General Health Professions 149
  • Nephrology 34
  • Endocrinology, Diabetes and Metabolism 52
  • Neurology 47
Replace Hyeongsu Kim with:
Hyeongsu Kim South Korea
Wei Han China
Yu‐Chi Tung Taiwan
Finbarr P. Leacy Ireland
Sara Gale United States
Ellen M. Janssen United States
Eun Hee Ha South Korea
Polina Putrik Netherlands
Ann Olsson France
Rebecca Anthopolos United States
Jing Wen relative to Hyeongsu Kim South Korea Hyeongsu Kim's profile →
Citations per field
00.5×4.3×
Hyeongsu Kim · 1×
Citations per year

Countries citing papers authored by Jing Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020161
2 200776
3 202054
4 200654
5 202052
6 202032
7 200930
8 202218
9 202016
10 202315
11 202314
12 202214
13 202013
14 201813
15 20248
16 20138
17 20238
18 20227
19
[An etiological and serological study on Dengue epidemic in Guangdong Province].
19987
20 19856

About Jing Wen

Jing Wen is a scholar working on Epidemiology, Molecular Biology, Nephrology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 44 papers that have together received 655 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Urban Transport and Accessibility (3 papers), Noise Effects and Management (3 papers), Environmental Sustainability in Business (3 papers), COVID-19 and Mental Health (3 papers), Urban Green Space and Health (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Clinical Psychology (185 citations), General Health Professions (149 citations), Nephrology (34 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Neurology (47 citations). Jing Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying Wang, Tingting Zhang, Rongmeng Jiang, Zhaorui Liu, Yueqin Huang, Yongchun Ma, Bing Han, Chao Ma, Hongguang Chen and Yi Li. Their work appears in journals such as Neuroradiology, Hepatology International, Renal Failure, International Journal of Environmental Research and Public Health and Journal of Travel Medicine.

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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