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
- Sphingolipid Metabolism and Signaling 2
- Lipid Membrane Structure and Behavior 2
- Microbial Metabolic Engineering and Bioproduction 1
- Protein Hydrolysis and Bioactive Peptides 1
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- Synthetic Organic Chemistry Methods 2
- Co-authors
- Brian B. Gourlie (1 shared paper)Héctor R. Morbidoni (1 shared paper)James M. Musser (1 shared paper)Jill S. Gregory (1 shared paper)David A. Fidock (1 shared paper)Barry N. Kreiswirth (1 shared paper)Mack Kuo (1 shared paper)Hiroyuki Iwamoto (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)The Journal of Organic Chemistry (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Cellular Signalling (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceArgentina
In The Last Decade
Christopher Yee
7 papers receiving 344 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 116
- Molecular Medicine 30
- Organic Chemistry 140
- Computational Theory and Mathematics 57
- Molecular Biology 248
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 | 41 | |
| 3 | 2010 | 39 | |
| 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 355 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), Sphingolipid Metabolism and Signaling (2 papers), Lipid Membrane Structure and Behavior (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), HIV/AIDS drug development and treatment (1 paper) and Protein Hydrolysis and Bioactive Peptides (1 paper). The work is most often cited by research in Infectious Diseases (116 citations), Molecular Medicine (30 citations), Organic Chemistry (140 citations), Computational Theory and Mathematics (57 citations) and Molecular Biology (248 citations). Christopher Yee has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Brian B. Gourlie, Héctor R. Morbidoni, James M. Musser, Jill S. Gregory, David A. Fidock, Barry N. Kreiswirth, Mack Kuo, Hiroyuki Iwamoto, Scott Sneddon and James C. Sacchettini. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry, Bioorganic & Medicinal Chemistry, Cellular Signalling and Journal of Biological Chemistry.
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.