C Kent

1.9k citations
25 papers · 1.7k · h-index 22

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 7
    • Mitochondrial Function and Pathology 7
    • Biochemical and Molecular Research 4
    • Ubiquitin and proteasome pathways 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Lipid Membrane Structure and Behavior 3
    • Metabolism and Genetic Disorders 7

C Kent

25 papers receiving 1.7k citations

Peers

C Kent
Comparison fields: 5 of 85
  • Biochemistry 385
  • Clinical Biochemistry 203
  • Cell Biology 470
  • Molecular Biology 1.3k
  • Physiology 31
Replace Matthew W. Spence with:
Matthew W. Spence Canada
Harry B. Paddon Canada
Kunihiko Suzuki United States
R. Devés Chile
Susanne Lingrell Canada
K. Mihara Japan
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C Kent relative to Matthew W. Spence Canada Matthew W. Spence's profile →
Citations per field
00.5×1.6×
Matthew W. Spence · 1×
Citations per year

Countries citing papers authored by C Kent

Since Specialization
Citations

This map shows the geographic impact of C Kent'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 C Kent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Kent more than expected).

Fields of papers citing papers by C Kent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C Kent. 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 C Kent. The network helps show where C Kent may publish in the future.

Co-authors

The 25 scholars most cited alongside C Kent, 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 C Kent Line = papers co-authored together C Kent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980149
2 1983132
3 1993126
4 1988117
5 1990106
6 199494
7 198386
8 199383
9 199275
10 198374
11 197771
12 199171
13 199070
14 198570
15 199364
16 199061
17 199359
18 198658
19 199451
20 198933

About C Kent

C Kent is a scholar working on Molecular Biology, Clinical Biochemistry, Biochemistry, Cell Biology and Surgery, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Metabolism and Genetic Disorders (7 papers), Mitochondrial Function and Pathology (7 papers), Lipid metabolism and biosynthesis (4 papers), Biochemical and Molecular Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Biochemistry (385 citations), Clinical Biochemistry (203 citations), Cell Biology (470 citations), Molecular Biology (1.3k citations) and Physiology (31 citations). C Kent has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Richard G. Sleight, Jeffry D. Watkins, Thomas D. Sweitzer, Dorothy Teegarden, Elizabeth J. Taparowsky, Thomas J. Porter, Yanzhuang Wang, Paul A. Weinhold, David G. Skalnik and Marcia A. Miller. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical Journal, The FASEB Journal and Neuroscience.

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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