Run Wang

194 papers receiving 3.6k citations

Peers

Run Wang
Comparison fields: 5 of 124
  • Psychiatry and Mental health 1.9k
  • Urology 639
  • Endocrinology, Diabetes and Metabolism 616
  • Reproductive Medicine 196
  • Clinical Psychology 274
Replace Faysal A. Yafi with:
Faysal A. Yafi United States
Maarten Albersen Belgium
U. Engelmann Germany
Haim Matzkin Israel
Du Geon Moon South Korea
Allen D. Seftel United States
Gregory A. Broderick United States
Edward D. Kim United States
Alexander W. Pastuszak United States
Craig F. Donatucci United States
Run Wang relative to Faysal A. Yafi United States Faysal A. Yafi's profile →
Citations per field
00.5×1.5×2.4×
Faysal A. Yafi · 1×
Citations per year

Countries citing papers authored by Run Wang

Since Specialization
Citations

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

Fields of papers citing papers by Run Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010235
2 2010181
3 201090
4 200688
5 201588
6 201277
7 201073
8 201172
9 201071
10 200765
11 201763
12 200962
13 201561
14 200858
15 201758
16 201054
17 201253
18 201750
19 201648
20 200846

About Run Wang

Run Wang is a scholar working on Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism, Urology, Surgery and Molecular Biology, having authored 200 papers that have together received 3.7k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (107 papers), Hormonal and reproductive studies (36 papers), Urinary Bladder and Prostate Research (30 papers), Genital Health and Disease (22 papers), Sexuality, Behavior, and Technology (18 papers), Prostate Cancer Diagnosis and Treatment (15 papers), Sexual Differentiation and Disorders (9 papers) and Urological Disorders and Treatments (9 papers). The work is most often cited by research in Psychiatry and Mental health (1.9k citations), Urology (639 citations), Endocrinology, Diabetes and Metabolism (616 citations), Reproductive Medicine (196 citations) and Clinical Psychology (274 citations). Run Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Haocheng Lin, Luca Incrocci, Rosemary Basson, Jiuhong Yuan, Yutian Dai, Alexander W. Pastuszak, Charles R. Moore, Wayne J.G. Hellstrom, O. Lenaine Westney and P. J. Rees. Their work appears in journals such as Asian Journal of Andrology, The Journal of Sexual Medicine, The Journal of Urology, Sexual Medicine Reviews and International Journal of Impotence 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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