Clifford Quan
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Molecular Biology top 10%
- Chemical Synthesis and Analysis 5
- Protein Kinase Regulation and GTPase Signaling 3
- DNA and Nucleic Acid Chemistry 3
- Oncology top 10%
- Peptidase Inhibition and Analysis 8
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- Monoclonal and Polyclonal Antibodies Research 5
- Cancer Research top 10%
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- Neuropeptides and Animal Physiology 5
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- Liver physiology and pathology 3
- Co-authors
- Jeffrey TomJohn P. BurnierJames A. WellsDavid Y. JacksonWayne J. FairbrotherGermaine FuhMark StanleyCharles Eigenbrot
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Clifford Quan
38 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Immunology and Allergy 110
- Molecular Biology 1.2k
- Oncology 405
- Radiology, Nuclear Medicine and Imaging 295
- Cancer Research 192
Countries citing papers authored by Clifford Quan
This map shows the geographic impact of Clifford Quan'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 Clifford Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clifford Quan more than expected).
Fields of papers citing papers by Clifford Quan
This network shows the impact of papers produced by Clifford Quan. 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 Clifford Quan. The network helps show where Clifford Quan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clifford Quan, 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 | 2014 | 20 | |
| 2 | 2013 | 127 | |
| 3 | 2012 | 31 | |
| 4 | 2012 | 76 | |
| 5 | 2012 | 28 | |
| 6 | 2010 | 16 | |
| 7 | 2009 | 7 | |
| 8 | 2008 | 29 | |
| 9 | 2008 | 9 | |
| 10 | 2008 | 100 | |
| 11 | 2006 | 1 | |
| 12 | 2006 | 45 | |
| 13 | 2005 | 8 | |
| 14 | 2000 | 149 | |
| 15 | 1998 | 27 | |
| 16 | 1998 | 17 | |
| 17 | 1994 | 48 | |
| 18 | 1994 | 230 | |
| 19 | 1991 | 24 | |
| 20 | 1990 | 63 |
About Clifford Quan
Clifford Quan is a scholar working on Immunology and Allergy, Hepatology and Gastroenterology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Neuropeptides and Animal Physiology (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Chemical Synthesis and Analysis (5 papers), Cell Adhesion Molecules Research (4 papers), Liver physiology and pathology (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Immunology and Allergy (110 citations), Molecular Biology (1.2k citations) and Oncology (405 citations). Clifford Quan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeffrey Tom, John P. Burnier, James A. Wells, David Y. Jackson, Wayne J. Fairbrother, Germaine Fuh, Mark Stanley, Charles Eigenbrot, Laurence A. Lasky and Nicholas J. Skelton. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.