Chi‐Ming Chen
Impact in
- Organic Chemistry top 10%
- Synthesis and biological activity
- Click Chemistry and Applications
- Synthesis and Biological Evaluation
- Catalytic C–H Functionalization Methods
Papers in
-
- Machine Learning in Bioinformatics 4
- Phosphodiesterase function and regulation 3
- Bioinformatics and Genomic Networks 3
- Protein Structure and Dynamics 3
- Receptor Mechanisms and Signaling 3
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- Cholinesterase and Neurodegenerative Diseases 2
- Co-authors
- Te‐Lun Mai (3 shared papers)Jing‐Ping Liou (3 shared papers)Ching‐Chuan Kuo (3 shared papers)Jang‐Yang Chang (3 shared papers)Chi-Yen Chang (3 shared papers)Hsing‐Pang Hsieh (2 shared papers)Wun‐Chang Ko (3 shared papers)Agnes L. F. Chan (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Investigational New Drugs (1 paper)BMC Pharmacology and Toxicology (1 paper)Veterinary Quarterly (1 paper)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Chi‐Ming Chen
15 papers receiving 334 citations
Peers
Comparison fields: 5 of 87
- Organic Chemistry 150
- Toxicology 12
- Molecular Biology 167
- Cellular and Molecular Neuroscience 39
- Pharmacology 26
Countries citing papers authored by Chi‐Ming Chen
This map shows the geographic impact of Chi‐Ming 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 Chi‐Ming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Ming Chen more than expected).
Fields of papers citing papers by Chi‐Ming Chen
This network shows the impact of papers produced by Chi‐Ming 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 Chi‐Ming Chen. The network helps show where Chi‐Ming Chen may publish in the future.
Co-authors
The 13 scholars most cited alongside Chi‐Ming Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 82 | |
| 2 | 2008 | 72 | |
| 3 | 2007 | 53 | |
| 4 | 2006 | 39 | |
| 5 | 2008 | 22 | |
| 6 | 2016 | 17 | |
| 7 | 2015 | 13 | |
| 8 | 2013 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2003 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2023 | 2 |
About Chi‐Ming Chen
Chi‐Ming Chen is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Infectious Diseases and Genetics, having authored 15 papers that have together received 340 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Phosphodiesterase function and regulation (3 papers), Bioinformatics and Genomic Networks (3 papers), Protein Structure and Dynamics (3 papers), Receptor Mechanisms and Signaling (3 papers), Synthesis and biological activity (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Organic Chemistry (150 citations), Toxicology (12 citations), Molecular Biology (167 citations), Cellular and Molecular Neuroscience (39 citations) and Pharmacology (26 citations). Chi‐Ming Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Te‐Lun Mai, Jing‐Ping Liou, Ching‐Chuan Kuo, Jang‐Yang Chang, Chi-Yen Chang, Hsing‐Pang Hsieh, Wun‐Chang Ko, Agnes L. F. Chan, Chun-Nan Lin and Ling‐Chu Chang. Their work appears in journals such as Journal of Medicinal Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects, Investigational New Drugs, BMC Pharmacology and Toxicology and Veterinary Quarterly.
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.