Sen Yang

8.7k citations
161 papers · 2.8k · h-index 27

Impact in

  • Dermatology top 0.5%
    • Dermatology and Skin Diseases
    • Cancer and Skin Lesions
    • Dermatologic Treatments and Research
  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • T-cell and B-cell Immunology 18
    • Psoriasis: Treatment and Pathogenesis 18
    • Atherosclerosis and Cardiovascular Diseases 12
    • Dermatology and Skin Diseases 19

Sen Yang

152 papers receiving 2.7k citations

Peers

Sen Yang
Comparison fields: 5 of 129
  • Dermatology 844
  • Immunology 909
  • Urology 238
  • Cell Biology 540
  • Rheumatology 271
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Koji Sayama Japan
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Abraham Zlotogorski Israel
C.E. Orfanos Germany
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Sen Yang relative to Koji Sayama Japan Koji Sayama's profile →
Citations per field
00.5×
Koji Sayama · 1×
Citations per year

Countries citing papers authored by Sen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009279
2 200488
3 200687
4 200283
5 200678
6 200474
7 200868
8 200968
9 200463
10 200961
11 200660
12 200757
13 200546
14 200445
15 201644
16 202044
17 202239
18 201838
19 201938
20 201635

About Sen Yang

Sen Yang is a scholar working on Immunology, Dermatology, Molecular Biology, Cell Biology and Oncology, having authored 161 papers that have together received 2.8k indexed citations. Recurring topics across this work include melanin and skin pigmentation (23 papers), Dermatology and Skin Diseases (19 papers), T-cell and B-cell Immunology (18 papers), Psoriasis: Treatment and Pathogenesis (18 papers), Systemic Lupus Erythematosus Research (16 papers), Skin and Cellular Biology Research (15 papers), Cytokine Signaling Pathways and Interactions (12 papers) and Atherosclerosis and Cardiovascular Diseases (12 papers). The work is most often cited by research in Dermatology (844 citations), Immunology (909 citations), Urology (238 citations), Cell Biology (540 citations) and Rheumatology (271 citations). Sen Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xuejun Zhang, Liangdan Sun, Yanhua Liang, Yong Cui, Wei Huang, Peng Xi, Qiushi Ren, Feng Gao, Min Gao and Jing Lin. Their work appears in journals such as Journal of Investigative Dermatology, British Journal of Dermatology, Journal of Dermatological Science, Archives of Dermatological Research and Clinical and Experimental Dermatology.

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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