Ying-Tsong Chen

10.4k citations
60 papers · 8.3k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Ying-Tsong Chen

58 papers receiving 8.2k citations

Hit Papers

The metabolic and molecular bases of inherited disease 2001 · 5.6k citations
5.6k200120262009201710002.0k3.0k4.0k5.0k

Peers

Ying-Tsong Chen
Comparison fields: 5 of 145
  • Molecular Medicine 1.4k
  • Clinical Biochemistry 1.6k
  • Endocrinology 704
  • Physiology 2.2k
  • Biochemistry 551
Replace Martin Krönke with:
Martin Krönke Germany
William M. Nauseef United States
Mei Li China
David C. Morrison United States
Stephen W. G. Tait United Kingdom
Thomas L. Leto United States
Noriko Takahashi Japan
Sankar Mitra United States
Aihao Ding United States
Mary C. Dinauer United States
Ying-Tsong Chen relative to Martin Krönke Germany Martin Krönke's profile →
Citations per field
00.5×7.4×
Martin Krönke · 1×
Citations per year

Countries citing papers authored by Ying-Tsong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Tsong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20237
4 20226
5 201731
6 201531
7 201411
8 201463
9 201376
10 201230
11 201243
12 201231
13 201123
14 201015
15 200916
16 200841
17 200842
18 20057
19 200429
20 1996432

About Ying-Tsong Chen

Ying-Tsong Chen is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Infectious Diseases and Clinical Biochemistry, having authored 60 papers that have together received 8.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (28 papers), Bacterial biofilms and quorum sensing (7 papers), Infections and bacterial resistance (7 papers), Genomics and Phylogenetic Studies (6 papers), Plant Pathogenic Bacteria Studies (6 papers), Lung Cancer Treatments and Mutations (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Molecular Medicine (1.4k citations), Clinical Biochemistry (1.6k citations), Endocrinology (704 citations), Physiology (2.2k citations) and Biochemistry (551 citations). Ying-Tsong Chen has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Shih-Feng Tsai, Hwei‐Ling Peng, Hwan‐You Chang, Tsai‐Ling Lauderdale, Tsai-Lien Liao, Shih‐Feng Tsai, Hung‐Yu Shu, Jing-Jou Yan, Chenghui Wang and Chu‐Fang Lo. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, PLoS ONE, Scientific Reports and Journal of Antimicrobial Chemotherapy.

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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