Li‐Hsing Chen
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
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- Melanoma and MAPK Pathways 6
- Bacillus and Francisella bacterial research 4
- Protein Kinase Regulation and GTPase Signaling 2
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- Synthesis and biological activity 3
- Click Chemistry and Applications 2
- Co-authors
- Maurizio Pellecchia (12 shared papers)Surya K. De (6 shared papers)John L. Stebbins (6 shared papers)Sherida L. Johnson (6 shared papers)Aras Emdadi (6 shared papers)Thomas Machleidt (5 shared papers)Megan Riel‐Mehan (5 shared papers)Jason Cellitti (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)Bioorganic Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)ChemMedChem (1 paper)
- Partner nations
- United States
In The Last Decade
Li‐Hsing Chen
12 papers receiving 485 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 106
- Organic Chemistry 157
- Molecular Biology 343
- Oncology 107
- Pathology and Forensic Medicine 47
Countries citing papers authored by Li‐Hsing Chen
This map shows the geographic impact of Li‐Hsing 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 Li‐Hsing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Hsing Chen more than expected).
Fields of papers citing papers by Li‐Hsing Chen
This network shows the impact of papers produced by Li‐Hsing 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 Li‐Hsing Chen. The network helps show where Li‐Hsing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Hsing 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 | 2008 | 157 | |
| 2 | 2009 | 71 | |
| 3 | 2010 | 65 | |
| 4 | 2008 | 48 | |
| 5 | 2008 | 28 | |
| 6 | 2011 | 28 | |
| 7 | 2007 | 25 | |
| 8 | 2009 | 24 | |
| 9 | 2009 | 19 | |
| 10 | 2009 | 16 | |
| 11 | 2011 | 13 | |
| 12 | 2010 | 5 |
About Li‐Hsing Chen
Li‐Hsing Chen is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Oncology and Computational Theory and Mathematics, having authored 12 papers that have together received 499 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Bacillus and Francisella bacterial research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Computational Drug Discovery Methods (3 papers), Synthesis and biological activity (3 papers), Click Chemistry and Applications (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Organic Chemistry (157 citations), Molecular Biology (343 citations), Oncology (107 citations) and Pathology and Forensic Medicine (47 citations). Li‐Hsing Chen has collaborated with scholars based in United States. Frequent co-authors include Maurizio Pellecchia, Surya K. De, John L. Stebbins, Sherida L. Johnson, Aras Emdadi, Thomas Machleidt, Megan Riel‐Mehan, Jason Cellitti, Michael Karin and Jesús Vázquez. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic Chemistry, Proceedings of the National Academy of Sciences and ChemMedChem.
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.