Mark D. Sutton

3k citations
61 papers · 2.6k · h-index 31

Impact in

  • Genetics top 2%
    • Bacterial Genetics and Biotechnology
    • Evolution and Genetic Dynamics
    • DNA Repair Mechanisms
    • Bacterial biofilms and quorum sensing
    • Protein Structure and Dynamics

Papers in

    • Bacterial Genetics and Biotechnology 26
    • DNA Repair Mechanisms 38
    • Bacterial biofilms and quorum sensing 4
    • Heat shock proteins research 1

Mark D. Sutton

61 papers receiving 2.5k citations

Peers

Mark D. Sutton
Comparison fields: 5 of 79
  • Genetics 1k
  • Molecular Biology 1.6k
  • Molecular Medicine 112
  • Microbiology 44
  • Endocrinology 23
Replace Hansel M. Fletcher with:
Hansel M. Fletcher United States
Ignacio Aréchaga Spain
Dongchun Ni Switzerland
Christoph Bieniossek Switzerland
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Elena B. Tikhonova United States
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Citations per field
00.5×2×3×4.0×
Hansel M. Fletcher · 1×
Citations per year

Countries citing papers authored by Mark D. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. 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 Mark D. Sutton. The network helps show where Mark D. Sutton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000263
2 2009158
3 2001148
4 1998139
5 2005119
6 2010110
7 199991
8 201478
9 200668
10 200968
11 200963
12 199762
13 202159
14 201750
15 199749
16 200449
17 200146
18 200545
19 200945
20 200344

About Mark D. Sutton

Mark D. Sutton is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Endocrinology and Microbiology, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (38 papers), Bacterial Genetics and Biotechnology (26 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial biofilms and quorum sensing (4 papers), Antimicrobial Peptides and Activities (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper), Escherichia coli research studies (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Genetics (1k citations), Molecular Biology (1.6k citations), Molecular Medicine (112 citations), Microbiology (44 citations) and Endocrinology (23 citations). Mark D. Sutton has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Graham Charles Walker, Jon M. Kaguni, Robert W. Maul, Veronica G. Godoy, Bradley T. Smith, Daniel J. Hassett, Michael John Schurr, John K. Crane, Laurie H. Sanders and Timothy J. Opperman. Their work appears in journals such as Journal of Bacteriology, Nucleic Acids Research, Molecular Microbiology, Proceedings of the National Academy of Sciences and PLoS ONE.

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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