Mark D. Sutton
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Genetics top 1%
- Bacterial Genetics and Biotechnology
Papers in
-
- DNA Repair Mechanisms 45
- DNA and Nucleic Acid Chemistry 24
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 5
- Genetics 44
- Bacterial Genetics and Biotechnology 44
- Co-authors
- Graham C. Walker (11 shared papers)Jon M. Kaguni (7 shared papers)Robert W. Maul (6 shared papers)B T Smith (1 shared paper)Veronica G. Godoy (1 shared paper)H. Katznelson (7 shared papers)Daniel J. Hassett (3 shared papers)Michael J. Schurr (2 shared papers)
- Journals
- Journal of Bacteriology (15 papers)Nucleic Acids Research (6 papers)Molecular Microbiology (5 papers)Proceedings of the National Academy of Sciences (5 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Mark D. Sutton
70 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 381
- Genetics 1.4k
- Molecular Biology 2.1k
- Endocrinology 132
- Microbiology 74
Countries citing papers authored by Mark D. Sutton
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
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.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 265 | |
| 2 | 2009 | 160 | |
| 3 | 2001 | 146 | |
| 4 | 1998 | 139 | |
| 5 | 2005 | 120 | |
| 6 | 2010 | 109 | |
| 7 | 1999 | 91 | |
| 8 | 2014 | 78 | |
| 9 | 2009 | 67 | |
| 10 | 2006 | 65 | |
| 11 | 1997 | 63 | |
| 12 | 2009 | 60 | |
| 13 | 2021 | 51 | |
| 14 | 1997 | 50 | |
| 15 | 2004 | 48 | |
| 16 | 2017 | 48 | |
| 17 | 2001 | 47 | |
| 18 | 1951 | 47 | |
| 19 | 2005 | 44 | |
| 20 | 2008 | 43 |
About Mark D. Sutton
Mark D. Sutton is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Plant Science and Ecology, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (45 papers), Bacterial Genetics and Biotechnology (44 papers), DNA and Nucleic Acid Chemistry (24 papers), Antibiotic Resistance in Bacteria (12 papers), Plant Pathogenic Bacteria Studies (8 papers), Bacteriophages and microbial interactions (6 papers), RNA and protein synthesis mechanisms (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Medicine (381 citations), Genetics (1.4k citations), Molecular Biology (2.1k citations), Endocrinology (132 citations) and Microbiology (74 citations). Mark D. Sutton has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Graham C. Walker, Jon M. Kaguni, Robert W. Maul, B T Smith, Veronica G. Godoy, H. Katznelson, Daniel J. Hassett, Michael J. Schurr, John K. Crane 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.