Yao-Shen Chen

6.5k citations
184 papers · 2.9k indexed · h-index 30

Impact in

Papers in

Yao-Shen Chen

175 papers receiving 2.8k citations

Peers

Yao-Shen Chen
Comparison fields: 5 of 130
  • Molecular Medicine 664
  • Applied Microbiology and Biotechnology 245
  • Endocrinology 322
  • Infectious Diseases 978
  • Epidemiology 1.3k
Replace Yung-Ching Liu with:
Yung-Ching Liu Taiwan
Sofia Maraki Greece
Diamantis P. Kofteridis Greece
Rıza Durmaz Türkiye
Hyun‐Ha Chang South Korea
Emine Alp Türkiye
Susan Shin‐Jung Lee Taiwan
Jien-Wei Liu Taiwan
F. Jacobs Belgium
Vicente Pintado Spain
Yao-Shen Chen relative to Yung-Ching Liu Taiwan Yung-Ching Liu's profile →
Citations per field
00.5×2.9×
Yung-Ching Liu · 1×
Citations per year

Countries citing papers authored by Yao-Shen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yao-Shen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao-Shen 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 Yao-Shen Chen. The network helps show where Yao-Shen Chen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20232
4 20233
5 201918
6 201614
7 201610
8 201556
9 201531
10 2012165
11 201226
12 201119
13 20118
14 20096
15 20096
16 200713
17 200650
18 20041
19 200328
20 19983

About Yao-Shen Chen

Yao-Shen Chen is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Infectious Diseases, Endocrinology and Epidemiology, having authored 184 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (33 papers), Burkholderia infections and melioidosis (20 papers), Tuberculosis Research and Epidemiology (18 papers), Antimicrobial Resistance in Staphylococcus (16 papers), HIV/AIDS drug development and treatment (15 papers), Mycobacterium research and diagnosis (14 papers), Urinary Tract Infections Management (13 papers) and Antibiotic Use and Resistance (12 papers). The work is most often cited by research in Molecular Medicine (664 citations), Applied Microbiology and Biotechnology (245 citations), Endocrinology (322 citations), Infectious Diseases (978 citations) and Epidemiology (1.3k citations). Yao-Shen Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Susan Shin‐Jung Lee, Hung‐Chin Tsai, Yung-Ching Liu, Cheng-Len Sy, Tsi-Shu Huang, Ya‐Lei Chen, Wen‐Chien Ko, Shue-Ren Wann, Ming‐Fang Cheng and Kai‐Sheng Hsieh. Their work appears in journals such as Journal of Microbiology Immunology and Infection, PLoS ONE, International Journal of Antimicrobial Agents, Infection and Drug Resistance and BMC Infectious Diseases.

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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