Yeh Chen

71 papers receiving 2k citations

Yeh Chen's Hit Papers

PD-L1-mediated gasdermin C expression switches apoptosis to pyroptosis in cancer cells and facilitates tumour necrosis 2020 · 768 citations
7680+2+4Years since publication250500750

Peers

Yeh Chen
Comparison fields: 5 of 105
  • Endocrinology 55
  • Molecular Biology 806
  • Oncology 263
  • Infectious Diseases 199
  • Cancer Research 130
Replace David H. Goetz with:
David H. Goetz United States
Ji‐Hyun Shin South Korea
Przemyslaw M. Bozko Germany
Dawn A. Israel United States
Sudipto Ganguly United States
Sajad Ahmad Dar India
Judith Romero–Gallo United States
Hong Zhen He Australia
Abdullah F. U. H. Saeed China
Manhong Wu United States
Yeh Chen relative to David H. Goetz United States David H. Goetz's profile →
Citations per field
00.5×2×3×4.2×
David H. Goetz · 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PD-L1-mediated gasdermin C expression switches apoptosis to pyroptosis in cancer cells and facilitates tumour necrosis
Hit paper breakdown →
2020768
2 2016109
3 202193
4
Tannic acid suppresses SARS-CoV-2 as a dual inhibitor of the viral main protease and the cellular TMPRSS2 protease.
202071
5 201067
6 201460
7
Structural basis of SARS-CoV-2 main protease inhibition by a broad-spectrum anti-coronaviral drug.
202058
8 202055
9 201448
10 202345
11 202234
12 200533
13 201831
14 202031
15 201630
16 202127
17 202026
18 201522
19 201320
20 202020

About Yeh Chen

Yeh Chen is a scholar working on Infectious Diseases, Materials Chemistry, Oncology, Molecular Biology and Genetics, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Bacterial Genetics and Biotechnology (9 papers), Carbohydrate Chemistry and Synthesis (4 papers), Biochemical and Structural Characterization (4 papers), Glycosylation and Glycoproteins Research (3 papers), Bacteriophages and microbial interactions (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Endocrinology (55 citations), Molecular Biology (806 citations), Oncology (263 citations), Infectious Diseases (199 citations) and Cancer Research (130 citations). Yeh Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chia‐Shin Yang, Mien‐Chie Hung, Tzu‐Ping Ko, Han‐Tsang Wu, Hsiao‐Fan Chen, Chien-Chen Wu, Wei‐Jan Wang, Shao‐Chun Wang, Wei‐Chien Huang and Wen-Hao Yang. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry and Proteins Structure Function and Bioinformatics.

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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