Yeh Chen

69 papers receiving 1.2k citations

Peers

Yeh Chen
Comparison fields: 5 of 111
  • Molecular Medicine 97
  • Endocrinology 56
  • Biochemistry 54
  • Infectious Diseases 157
  • Biotechnology 79
Replace Wesam H. Abdulaal with:
Wesam H. Abdulaal Saudi Arabia
Hani Z. Asfour Saudi Arabia
Syed Aun Muhammad Pakistan
Pallavi Somvanshi India
William N. Beavers United States
Yuanhong Xie China
Umashankar Vetrivel India
Xue Li China
William G. Walton United States
Faris Alrumaihi Saudi Arabia
Yeh Chen relative to Wesam H. Abdulaal Saudi Arabia Wesam H. Abdulaal's profile →
Citations per field
00.5×10.7×
Wesam H. Abdulaal · 1×
Citations per year

Countries citing papers authored by Yeh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yeh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016104
2 202187
3
Tannic acid suppresses SARS-CoV-2 as a dual inhibitor of the viral main protease and the cellular TMPRSS2 protease.
202069
4 201064
5 201460
6
Structural basis of SARS-CoV-2 main protease inhibition by a broad-spectrum anti-coronaviral drug.
202057
7 202054
8 201448
9 202340
10 202233
11 200533
12 201831
13 201630
14 202125
15 201522
16 202022
17 201319
18 202019
19 202318
20 201418

About Yeh Chen

Yeh Chen is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Genetics and Materials Chemistry, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), Enzyme Structure and Function (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), RNA and protein synthesis mechanisms (9 papers), Computational Drug Discovery Methods (6 papers), Bacteriophages and microbial interactions (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Molecular Medicine (97 citations), Endocrinology (56 citations), Biochemistry (54 citations), Infectious Diseases (157 citations) and Biotechnology (79 citations). Yeh Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chia‐Shin Yang, Mien‐Chie Hung, Yuchuan Wang, Tzu‐Ping Ko, Han‐Tsang Wu, Hsiao‐Fan Chen, Chien-Chen Wu, Shao‐Chun Wang, Wei‐Jan Wang and Wei‐Chien Huang. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry, Advanced Science and BioMed Research International.

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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