Wei V. Chen

5.8k citations
15 papers · 791 · 1 hit paper · h-index 11

Impact in

  • Urology top 1%
    • Hair Growth and Disorders
    • Dermatology and Skin Diseases
    • Dermatologic Treatments and Research

Papers in

Wei V. Chen

15 papers receiving 776 citations

Wei V. Chen's Hit Papers

Genome-wide association study in alopecia areata implicates both innate and adaptive immunity 2010 · 538 citations
5380+5+10Years since publication100200300400500

Peers

Wei V. Chen
Comparison fields: 5 of 68
  • Urology 385
  • Dermatology 257
  • Cell Biology 156
  • Immunology 200
  • Pathology and Forensic Medicine 140
Replace Charles H. W. Horne with:
Charles H. W. Horne United Kingdom
Jonghyeob Lee United States
Silvia Majore Italy
Kuniko Inoue Japan
Tatiana M. Grzeszkiewicz United States
Mari Higashiyama Japan
David Grote Canada
Andrew Thomas United States
Miyachi Japan
D W Pennington United States
Wei V. Chen relative to Charles H. W. Horne United Kingdom Charles H. W. Horne's profile →
Citations per field
00.5×10×20×30×35×
Charles H. W. Horne · 1×
Citations per year

Countries citing papers authored by Wei V. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei V. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei V. Chen. 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 Wei V. Chen. The network helps show where Wei V. Chen may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Genome-wide association study in alopecia areata implicates both innate and adaptive immunity
Hit paper breakdown →
2010538
2 201153
3 200629
4 201429
5 201527
6 201119
7 200515
8 200615
9 200115
10 201512
11 201310
12 20169
13 20129
14 20098
15 20073

About Wei V. Chen

Wei V. Chen is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Genetics, having authored 15 papers that have together received 791 indexed citations. Recurring topics across this work include melanin and skin pigmentation (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Genetic factors in colorectal cancer (2 papers), Melanoma and MAPK Pathways (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic Associations and Epidemiology (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Urology (385 citations), Dermatology (257 citations), Cell Biology (156 citations), Immunology (200 citations) and Pathology and Forensic Medicine (140 citations). Wei V. Chen has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Peter K. Gregersen, Christopher I. Amos, Madeleine Duvic, Ralf Paus, Yutaka Shimomura, Vera H. Price, Maria Hordinsky, David A. Norris, Pallavi Singh and Annette Lee. Their work appears in journals such as Carcinogenesis, International Journal of Cancer, Human Genetics, European Journal of Human Genetics and DNA repair.

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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