Run Wang

5.6k citations
214 papers · 4.2k · h-index 34

Impact in

Papers in

Run Wang

208 papers receiving 4.0k citations

Peers

Run Wang
Comparison fields: 5 of 132
  • Psychiatry and Mental health 2.2k
  • Urology 709
  • Endocrinology, Diabetes and Metabolism 685
  • Reproductive Medicine 222
  • Clinical Psychology 331
Replace Faysal A. Yafi with:
Faysal A. Yafi United States
Udo Horst Engelmann Germany
Juan Ignacio Martínez‐Salamanca Spain
Carlo Bettocchi Italy
Du Geon Moon South Korea
Haim Matzkin Israel
Eric Chung Australia
Ferdinando Fusco Italy
Allen D. Seftel United States
Gregory A. Broderick United States
Run Wang relative to Faysal A. Yafi United States Faysal A. Yafi's profile →
Citations per field
00.5×1.5×2×2.5×
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 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010260
2 2010197
3 2017110
4 201595
5 200692
6 201091
7 201282
8 201077
9 201175
10 201073
11 200767
12 201767
13 200966
14 201565
15 201762
16 200860
17 201058
18 200854
19 201254
20 201953

About Run Wang

Run Wang is a scholar working on Psychiatry and Mental health, Urology, Endocrinology, Diabetes and Metabolism, Clinical Psychology and Surgery, having authored 214 papers that have together received 4.2k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (117 papers), Hormonal and reproductive studies (43 papers), Urinary Bladder and Prostate Research (32 papers), Genital Health and Disease (24 papers), Sexuality, Behavior, and Technology (20 papers), Prostate Cancer Diagnosis and Treatment (17 papers), Urological Disorders and Treatments (10 papers) and Sexual Differentiation and Disorders (10 papers). The work is most often cited by research in Psychiatry and Mental health (2.2k citations), Urology (709 citations), Endocrinology, Diabetes and Metabolism (685 citations), Reproductive Medicine (222 citations) and Clinical Psychology (331 citations). Run Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Haocheng Lin, Rosemary J. Basson, Luca Incrocci, Jiuhong Yuan, Yutian Dai, Wayne J.G. Hellstrom, Alexander W. Pastuszak, Charles R. Moore, Ouida Lenaine Westney and Angel Luis Montejo. 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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