Yen‐Chin Chen

52 papers receiving 588 citations

Peers

Yen‐Chin Chen
Comparison fields: 5 of 102
  • Emergency Medicine 57
  • Immunology and Allergy 36
  • Experimental and Cognitive Psychology 74
  • Virology 22
  • Infectious Diseases 69
Replace Soo In Kim with:
Soo In Kim South Korea
Jerzy Wasserman Sweden
Catherine McCall United States
Jane Ellis United States
Kimberly Freudigman United States
Jorge Cardoso Portugal
Amit Arya India
Amee B. Patel United States
Helmut W. Ott Austria
Rachel M. Knight United States
Yen‐Chin Chen relative to Soo In Kim South Korea Soo In Kim's profile →
Citations per field
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Soo In Kim · 1×
Citations per year

Countries citing papers authored by Yen‐Chin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Chin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 200138
3 202137
4 200435
5 202033
6 202131
7 201629
8 201723
9 201418
10 202116
11 200216
12 202015
13 202114
14 202313
15 201713
16 201913
17 202312
18 202012
19 201212
20 200912

About Yen‐Chin Chen

Yen‐Chin Chen is a scholar working on Emergency Medicine, Experimental and Cognitive Psychology, Molecular Biology, Epidemiology and Physiology, having authored 55 papers that have together received 596 indexed citations. Recurring topics across this work include HIV-related health complications and treatments (6 papers), Sleep and related disorders (6 papers), HIV/AIDS Research and Interventions (3 papers), HIV Research and Treatment (3 papers), Venomous Animal Envenomation and Studies (3 papers), Copper Interconnects and Reliability (3 papers), Cervical Cancer and HPV Research (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Emergency Medicine (57 citations), Immunology and Allergy (36 citations), Experimental and Cognitive Psychology (74 citations), Virology (22 citations) and Infectious Diseases (69 citations). Yen‐Chin Chen has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Nai‐Ying Ko, Wen‐Chien Ko, Jiun‐Ling Wang, Chung‐Yi Li, Li‐Chi Huang, Linlin Lindayani, Ching‐Ju Fang, Heng‐Hsin Tung, Chiu‐Yueh Chen and Tsai‐Chung Li. Their work appears in journals such as Sleep Medicine, Proteins Structure Function and Bioinformatics, Journal of Clinical Nursing, Journal of Clinical Medicine and Journal of the American Geriatrics Society.

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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