Jer-Yuarn Wu

6.7k citations
43 papers · 2.4k indexed · 1 hit paper · h-index 19
Topics
Kawasaki Disease and Coronary Complications (5 papers)Metabolism and Genetic Disorders (4 papers)Coronary Artery Anomalies (4 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Jer-Yuarn Wu

43 papers receiving 2.4k citations

Hit Papers

HLA-B*5801 allele as a genetic marker for severe cutaneou...20052026201220192005250500750

Peers

Jer-Yuarn Wu
Comparison fields: 5 of 112
  • Pharmacology 720
  • Molecular Biology 663
  • Rheumatology 642
  • Immunology 494
  • Genetics 349
Replace Chien‐Hsiun Chen with:
Chien‐Hsiun Chen Taiwan
Ryo Takahashi Japan
Duncan A. Gordon United Kingdom
Shinji Takai Japan
M.W. Greaves United Kingdom
Ahmed M. Abu El‐Asrar Saudi Arabia
Adam Lerner United States
Hollis A. Simmons United States
Leo B. A. Van De Putte Netherlands
Maria Bertolotto Italy
Jer-Yuarn Wu relative to Chien‐Hsiun Chen Taiwan Chien‐Hsiun Chen's profile →
Citations per field
00.5×1.5×1.9×
Chien‐Hsiun Chen · 1×
Citations per year

Countries citing papers authored by Jer-Yuarn Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jer-Yuarn Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jer-Yuarn 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 Jer-Yuarn Wu. The network helps show where Jer-Yuarn Wu may publish in the future.

Co-authorship network of co-authors of Jer-Yuarn Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jer-Yuarn Wu. A scholar is included among the top collaborators of Jer-Yuarn Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jer-Yuarn Wu. Jer-Yuarn Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 28
3 3
4 17
5 6
6 5
7 2
8 19
9 288
10 11
11 21
12 18
13
HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinolbreakdown →
941
14 80
15 9
16 7
17 9
18 23
19 32
20 5

About Jer-Yuarn Wu

Jer-Yuarn Wu is a scholar working on Clinical Biochemistry, Rheumatology and Cancer Research, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (5 papers), Metabolism and Genetic Disorders (4 papers) and Coronary Artery Anomalies (4 papers). The work is most often cited by research in Pharmacology (720 citations), Rheumatology (642 citations) and Dermatology (241 citations). Jer-Yuarn Wu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yuan-Tsong Chen, Chien‐Hsiun Chen, Fuu‐Jen Tsai, Cathy S.J. Fann, Wen‐Hung Chung, Wen‐Hung Chung, C.C. Chu, Marie Lin, Joung-Liang Lan and Chia‐Yu Chu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026