Jiaming Wen

1.5k citations
47 papers · 1.1k · h-index 17

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

Jiaming Wen

45 papers receiving 1.1k citations

Peers

Jiaming Wen
Comparison fields: 5 of 71
  • Physiology 202
  • Genetics 125
  • Urology 77
  • Psychiatry and Mental health 176
  • Obstetrics and Gynecology 67
Replace Qiang Wei with:
Qiang Wei China
Song Ling United States
Claudia Sorrentino Italy
Leye He China
Sara Crespo Yanguas Belgium
Luisa Salvatori Italy
Joost Willebrords Belgium
Wunai Zhang China
Knut Fälker Sweden
qi ma China
Jiaming Wen relative to Qiang Wei China Qiang Wei's profile →
Citations per field
00.5×10×20×25.7×
Qiang Wei · 1×
Citations per year

Countries citing papers authored by Jiaming Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010167
2 201190
3 201787
4 202273
5 200971
6 201068
7 201660
8 200952
9 201141
10 200938
11 201537
12 201435
13 201228
14 201123
15 201923
16 201520
17 201920
18 201514
19 201513
20 202013

About Jiaming Wen

Jiaming Wen is a scholar working on Physiology, Psychiatry and Mental health, Urology, Pulmonary and Respiratory Medicine and Genetics, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (12 papers), Adenosine and Purinergic Signaling (9 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Urinary Bladder and Prostate Research (3 papers), Bladder and Urothelial Cancer Treatments (2 papers), Urological Disorders and Treatments (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Physiology (202 citations), Genetics (125 citations), Urology (77 citations), Psychiatry and Mental health (176 citations) and Obstetrics and Gynecology (67 citations). Jiaming Wen has collaborated with scholars based in China and United States. Frequent co-authors include Yang Xia, Rodney Eugene Kellems, Yingbo Dai, Bohan Wang, Michael R. Blackburn, Prasad V. Phatarpekar, Weiru Zhang, Hong Sun, Gang Xu and Nan Zhang. Their work appears in journals such as The FASEB Journal, The Journal of Sexual Medicine, Blood, Acta Biomaterialia and International Journal of Surgery.

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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