Chris W. Sutton

3.1k citations
63 papers · 2.4k · h-index 25

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Analytical Chemistry and Chromatography

Papers in

    • Metabolomics and Mass Spectrometry Studies 5
    • Glycosylation and Glycoproteins Research 4
    • Molecular Biology Techniques and Applications 4
    • Advanced Proteomics Techniques and Applications 15
    • Mass Spectrometry Techniques and Applications 13

Chris W. Sutton

61 papers receiving 2.3k citations

Peers

Chris W. Sutton
Comparison fields: 5 of 127
  • Virology 201
  • Spectroscopy 632
  • Cancer Research 383
  • Clinical Biochemistry 119
  • Hematology 163
Replace Yanbao Yu with:
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James T. Sparrow United States
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Marco Tripodi Italy
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Citations per field
00.5×2.9×
Yanbao Yu · 1×
Citations per year

Countries citing papers authored by Chris W. Sutton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Chris W. Sutton Line = papers co-authored together Chris W. Sutton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991219
2 1993206
3 2019186
4 2013132
5 1994131
6 1992105
7 199594
8 197490
9 200988
10 197588
11 199177
12 200577
13 199676
14 200769
15 201257
16 200352
17 201051
18 200442
19 200339
20 198436

About Chris W. Sutton

Chris W. Sutton is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Oncology and Cell Biology, having authored 63 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), Molecular Biology Techniques and Applications (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Peptidase Inhibition and Analysis (3 papers) and Hemophilia Treatment and Research (2 papers). The work is most often cited by research in Virology (201 citations), Spectroscopy (632 citations), Cancer Research (383 citations), Clinical Biochemistry (119 citations) and Hematology (163 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, Mark O'Shea, Mark I. Cockett, Gillian Murphy and Frances Willenbrock. Their work appears in journals such as Journal of Proteome Research, Rapid Communications in Mass Spectrometry, Clinical Proteomics, Cells and 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.

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