Chien‐Hsiun Chen

5.9k citations
23 papers · 2.3k indexed · 1 hit paper · h-index 16
Topics
Genetic Associations and Epidemiology (5 papers)Kawasaki Disease and Coronary Complications (5 papers)Coronary Artery Anomalies (5 papers)

In The Last Decade

Chien‐Hsiun Chen

22 papers receiving 2.3k citations

Hit Papers

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

Peers

Chien‐Hsiun Chen
Comparison fields: 5 of 115
  • Pharmacology 752
  • Molecular Biology 541
  • Rheumatology 531
  • Genetics 355
  • Surgery 324
Replace Jer-Yuarn Wu with:
Jer-Yuarn Wu Taiwan
Fabio Cianchi Italy
Wan‐Hee Yoo South Korea
Duncan A. Gordon United Kingdom
Tõru Nakamura Japan
Eun‐Soon Shin South Korea
Yukitaka Ueki Japan
Nobuyuki Matsuhashi Japan
Ryo Takahashi Japan
Toshiaki Nakano Japan
Chien‐Hsiun Chen relative to Jer-Yuarn Wu Taiwan Jer-Yuarn Wu's profile →
Citations per field
00.5×1.5×
Jer-Yuarn Wu · 1×
Citations per year

Countries citing papers authored by Chien‐Hsiun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Hsiun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Hsiun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Hsiun Chen. A scholar is included among the top collaborators of Chien‐Hsiun Chen 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 Chien‐Hsiun Chen. Chien‐Hsiun Chen 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 28
2 3
3 21
4 17
5 56
6 22
7 8
8 0
9 41
10 6
11 34
12 12
13 10
14 82
15 243
16 279
17 92
18 89
19
HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinolbreakdown →
941
20 52

About Chien‐Hsiun Chen

Chien‐Hsiun Chen is a scholar working on Modeling and Simulation, Hematology and Pharmacy, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Kawasaki Disease and Coronary Complications (5 papers) and Coronary Artery Anomalies (5 papers). The work is most often cited by research in Pharmacology (752 citations), Pharmacology (312 citations) and Rheumatology (531 citations). Chien‐Hsiun Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yuan-Tsong Chen, Jer-Yuarn Wu, Cathy S.J. Fann, Wen‐Hung Chung, Wen‐Hung Chung, Fuu‐Jen Tsai, 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, Nature Communications and Blood.

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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