Christopher Yee
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
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- Antibiotic Resistance in Bacteria
Papers in
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- Enzyme Catalysis and Immobilization 3
- Protein Kinase Regulation and GTPase Signaling 3
- Lipid Membrane Structure and Behavior 2
- Sphingolipid Metabolism and Signaling 2
- Receptor Mechanisms and Signaling 1
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- Synthetic Organic Chemistry Methods 2
- Click Chemistry and Applications 1
- Co-authors
- Héctor R. Morbidoni (1 shared paper)Mack Kuo (1 shared paper)Hiroyuki Iwamoto (1 shared paper)David A. Fidock (1 shared paper)Jill S. Gregory (1 shared paper)James C. Sacchettini (1 shared paper)William R. Jacobs (1 shared paper)James M. Musser (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Bioorganic & Medicinal Chemistry (1 paper)The Journal of Organic Chemistry (1 paper)Journal of Biological Chemistry (1 paper)Cellular Signalling (1 paper)
- Partner nations
- United StatesArgentinaFrance
In The Last Decade
Christopher Yee
7 papers receiving 348 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 113
- Molecular Medicine 28
- Organic Chemistry 140
- Molecular Biology 238
- Computational Theory and Mathematics 56
Countries citing papers authored by Christopher Yee
This map shows the geographic impact of Christopher Yee'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 Christopher Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Yee more than expected).
Fields of papers citing papers by Christopher Yee
This network shows the impact of papers produced by Christopher Yee. 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 Christopher Yee. The network helps show where Christopher Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Yee, 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 | 2003 | 218 | |
| 2 | 2009 | 43 | |
| 3 | 2010 | 40 | |
| 4 | 1992 | 32 | |
| 5 | 2014 | 12 | |
| 6 | 1994 | 10 | |
| 7 | 1992 | 3 |
About Christopher Yee
Christopher Yee is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Cell Biology and Surgery, having authored 7 papers that have together received 358 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Synthetic Organic Chemistry Methods (2 papers), Lipid Membrane Structure and Behavior (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Click Chemistry and Applications (1 paper), HIV/AIDS drug development and treatment (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Infectious Diseases (113 citations), Molecular Medicine (28 citations), Organic Chemistry (140 citations), Molecular Biology (238 citations) and Computational Theory and Mathematics (56 citations). Christopher Yee has collaborated with scholars based in United States, Argentina and France. Frequent co-authors include Héctor R. Morbidoni, Mack Kuo, Hiroyuki Iwamoto, David A. Fidock, Jill S. Gregory, James C. Sacchettini, William R. Jacobs, James M. Musser, Scott Sneddon and Remo Perozzo. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, The Journal of Organic Chemistry, Journal of Biological Chemistry and Cellular Signalling.
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.