Chen‐Yi Wu

91 papers receiving 2k citations

Peers

Chen‐Yi Wu
Comparison fields: 5 of 132
  • Oncology 252
  • Pharmacy 38
  • Toxicology 47
  • Dermatology 68
  • Geriatrics and Gerontology 29
Replace Judith E. Raber‐Durlacher with:
Judith E. Raber‐Durlacher Netherlands
Alessandro Villa United States
Yusuf Yazıcı United States
Sze Huey Tan Singapore
Chung‐Pin Li Taiwan
Chris S. B. Brown Australia
Amye L. Leong United States
Neil Betteridge Germany
Andrew J.K. Östör United Kingdom
Marlies S Wijsenbeek Netherlands
Chen‐Yi Wu relative to Judith E. Raber‐Durlacher Netherlands Judith E. Raber‐Durlacher's profile →
Citations per field
00.5×2×2.9×
Judith E. Raber‐Durlacher · 1×
Citations per year

Countries citing papers authored by Chen‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Yi Wu. 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 Chen‐Yi Wu. The network helps show where Chen‐Yi Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010151
2 2015151
3 2016145
4 2006114
5 201592
6 201465
7 201663
8 201856
9 202254
10 201253
11 201850
12 201542
13 201439
14 201537
15 201436
16 201535
17
Anti-PD-1 antibody SHR-1210 plus apatinib for metastatic colorectal cancer: a prospective, single-arm, open-label, phase II trial.
202034
18 202233
19 202432
20 201231

About Chen‐Yi Wu

Chen‐Yi Wu is a scholar working on Pathology and Forensic Medicine, Dermatology, Immunology, Epidemiology and Physiology, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (16 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Herpesvirus Infections and Treatments (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Dermatology and Skin Diseases (4 papers), melanin and skin pigmentation (4 papers), Air Quality and Health Impacts (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Oncology (252 citations), Pharmacy (38 citations), Toxicology (47 citations), Dermatology (68 citations) and Geriatrics and Gerontology (29 citations). Chen‐Yi Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chung‐Pin Li, Hsiao‐Yun Hu, Nicole Huang, Yiing‐Jenq Chou, Yun-Ting Chang, Y.C. Chou, Yiing‐Jeng Chou, Yi‐Ping Hung, Shinn‐Jang Hwang and I-Hsuan Hwang. Their work appears in journals such as Clinical and Experimental Dermatology, Journal of the European Academy of Dermatology and Venereology, The Journal of Dermatology, PLoS ONE and Journal of the American Academy of 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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