Chris W. Sutton
Impact in
- Virology top 5%
- HIV Research and Treatment
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
- Spectroscopy 20
- Advanced Proteomics Techniques and Applications 15
- Mass Spectrometry Techniques and Applications 13
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- John S. CottrellJohn CalderPaul M. LoadmanMalcolm R. ClenchThomas CrabbeLaurence H. PattersonIan PhillipsMark I. Cockett
- Journals
- Journal of Proteome Research (5 papers)Rapid Communications in Mass Spectrometry (4 papers)Cells (3 papers)PROTEOMICS (3 papers)Clinical Proteomics (3 papers)
- Partner nations
- United KingdomUnited StatesCyprus
In The Last Decade
Chris W. Sutton
61 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 131
- Virology 203
- Spectroscopy 646
- Cancer Research 416
- Clinical Biochemistry 124
- Hematology 176
Countries citing papers authored by Chris W. Sutton
This map shows the geographic impact of Chris W. Sutton'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 Chris W. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris W. Sutton more than expected).
Fields of papers citing papers by Chris W. Sutton
This network shows the impact of papers produced by Chris W. Sutton. 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 Chris W. Sutton. The network helps show where Chris W. Sutton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris W. Sutton, 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 | 2024 | 6 | |
| 2 | 2023 | 6 | |
| 3 | 2019 | 183 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 1 | |
| 6 | 2016 | 7 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 130 | |
| 9 | 2011 | 17 | |
| 10 | 2009 | 18 | |
| 11 | 2003 | 4 | |
| 12 | 2002 | 20 | |
| 13 | 1998 | 13 | |
| 14 | 1996 | 18 | |
| 15 | 1994 | 131 | |
| 16 | 1993 | 206 | |
| 17 | 1992 | 105 | |
| 18 | 1991 | 219 | |
| 19 | 1989 | 1 | |
| 20 | 1984 | 36 |
About Chris W. Sutton
Chris W. Sutton is a scholar working on Spectroscopy, Cancer Research, Cell Biology, Molecular Biology and Analytical Chemistry, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Molecular Biology Techniques and Applications (4 papers), Peptidase Inhibition and Analysis (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Virology (203 citations), Spectroscopy (646 citations), Cancer Research (416 citations), Clinical Biochemistry (124 citations) and Hematology (176 citations). Chris W. Sutton has collaborated with scholars based in United Kingdom, United States and Cyprus. Frequent co-authors include John S. Cottrell, John Calder, Paul M. Loadman, Malcolm R. Clench, Thomas Crabbe, Laurence H. Patterson, Ian Phillips, Mark I. Cockett, Andrew Docherty and Patrick M. Slocombe. Their work appears in journals such as Journal of Proteome Research, Rapid Communications in Mass Spectrometry, Cells, PROTEOMICS and Clinical Proteomics.
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.