Mark D. Sutton

3.2k total citations
69 papers, 2.6k citations indexed

About

Mark D. Sutton is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Mark D. Sutton has authored 69 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 45 papers in Genetics and 12 papers in Molecular Medicine. Recurrent topics in Mark D. Sutton's work include DNA Repair Mechanisms (45 papers), Bacterial Genetics and Biotechnology (45 papers) and DNA and Nucleic Acid Chemistry (25 papers). Mark D. Sutton is often cited by papers focused on DNA Repair Mechanisms (45 papers), Bacterial Genetics and Biotechnology (45 papers) and DNA and Nucleic Acid Chemistry (25 papers). Mark D. Sutton collaborates with scholars based in United States, Australia and Canada. Mark D. Sutton's 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, Timothy J. Opperman and Kevin M. Carr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mark D. Sutton

69 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark D. Sutton United States 30 2.1k 1.3k 380 213 193 69 2.6k
Tammy Latifi United States 21 1.2k 0.6× 860 0.6× 419 1.1× 102 0.5× 235 1.2× 24 2.3k
Deo Prakash Pandey Denmark 14 1.4k 0.7× 970 0.7× 285 0.8× 63 0.3× 406 2.1× 22 2.2k
R G Martin United States 29 1.2k 0.6× 952 0.7× 306 0.8× 248 1.2× 553 2.9× 41 2.3k
William R. McCleary United States 21 1.6k 0.8× 1.1k 0.8× 99 0.3× 259 1.2× 327 1.7× 23 2.2k
Elena Cabezón Spain 24 1.5k 0.7× 798 0.6× 547 1.4× 176 0.8× 497 2.6× 34 2.5k
A. Lazdunski France 21 1.3k 0.6× 870 0.7× 381 1.0× 176 0.8× 228 1.2× 33 1.7k
Maren Scharfe Germany 24 1.3k 0.6× 290 0.2× 86 0.2× 157 0.7× 163 0.8× 34 1.9k
Joel Jessee United States 13 1.3k 0.6× 643 0.5× 105 0.3× 233 1.1× 281 1.5× 17 1.8k
L Shapiro United States 27 1.7k 0.8× 1.5k 1.1× 138 0.4× 233 1.1× 672 3.5× 66 2.3k
Sarah Denayer Belgium 25 920 0.4× 396 0.3× 81 0.2× 93 0.4× 205 1.1× 47 1.8k

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-authorship network of co-authors of Mark D. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Sutton. A scholar is included among the top collaborators of Mark D. Sutton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark D. Sutton. Mark D. Sutton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smith, Nicholas M., et al.. (2024). PBP-3 directed therapy in VIM-producing Pseudomonas aeruginosa creates bacterial transformers, persisters in disguise. International Journal of Antimicrobial Agents. 64(3). 107260–107260. 2 indexed citations
2.
Becker, Jordan T., Charanya Kumar, Mark D. Sutton, et al.. (2023). Elevated MSH2 MSH3 expression interferes with DNA metabolism in vivo. Nucleic Acids Research. 51(22). 12185–12206. 1 indexed citations
3.
Jin, Kyeong Sik, et al.. (2017). Dynamic assembly of Hda and the sliding clamp in the regulation of replication licensing. Nucleic Acids Research. 45(7). 3888–3905. 16 indexed citations
4.
Ghazy, Mohamed A., et al.. (2016). Identification of β Clamp-DNA Interaction Regions That Impair the Ability of E. coli to Tolerate Specific Classes of DNA Damage. PLoS ONE. 11(9). e0163643–e0163643. 6 indexed citations
5.
Yuan, Quan, Paul R. Dohrmann, Mark D. Sutton, & Charles S. McHenry. (2016). DNA Polymerase III, but Not Polymerase IV, Must Be Bound to a τ-Containing DnaX Complex to Enable Exchange into Replication Forks. Journal of Biological Chemistry. 291(22). 11727–11735. 18 indexed citations
6.
Pillon, Monica C., et al.. (2015). The sliding clamp tethers the endonuclease domain of MutL to DNA. Nucleic Acids Research. 43(22). 10746–10759. 38 indexed citations
7.
8.
Jergic, Slobodan, et al.. (2014). Polymerase exchange on single DNA molecules reveals processivity clamp control of translesion synthesis. Proceedings of the National Academy of Sciences. 111(21). 7647–7652. 75 indexed citations
9.
Sutton, Mark D., et al.. (2012). Evidence for roles of the Escherichia coli Hda protein beyond regulatory inactivation of DnaA. Molecular Microbiology. 85(4). 648–668. 15 indexed citations
10.
Gill, Ann, et al.. (2012). Evolution in Fast Forward: a Potential Role for Mutators in Accelerating Staphylococcus aureus Pathoadaptation. Journal of Bacteriology. 195(3). 615–628. 29 indexed citations
11.
Sanders, Laurie H., Shengchang Su, Daniel J. Wozniak, et al.. (2011). Epistatic Roles for Pseudomonas aeruginosa MutS and DinB (DNA Pol IV) in Coping with Reactive Oxygen Species-Induced DNA Damage. PLoS ONE. 6(4). e18824–e18824. 17 indexed citations
12.
Hassett, Daniel J., Thomas R. Korfhagen, Randall T. Irvin, et al.. (2010). Pseudomonas aeruginosabiofilm infections in cystic fibrosis: insights into pathogenic processes and treatment strategies. Expert Opinion on Therapeutic Targets. 14(2). 117–130. 105 indexed citations
13.
Hassett, Daniel J., et al.. (2009). Pseudomonas aeruginosa hypoxic or anaerobic biofilm infections within cystic fibrosis airways. Trends in Microbiology. 17(3). 130–138. 149 indexed citations
14.
Sutton, Mark D.. (2009). Coordinating DNA polymerase traffic during high and low fidelity synthesis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(5). 1167–1179. 58 indexed citations
15.
Sanders, Laurie H., et al.. (2009). The GO system prevents ROS-induced mutagenesis and killing inPseudomonas aeruginosa. FEMS Microbiology Letters. 294(1). 89–96. 35 indexed citations
16.
Sun, Jianing N., Wansheng Li, Woong Sik Jang, et al.. (2008). Uptake of the antifungal cationic peptide Histatin 5 by Candida albicans Ssa2p requires binding to non‐conventional sites within the ATPase domain. Molecular Microbiology. 70(5). 1246–1260. 37 indexed citations
17.
Sutton, Mark D., et al.. (2005). Specific amino acid residues in the β sliding clamp establish a DNA polymerase usage hierarchy in Escherichia coli. DNA repair. 5(3). 312–323. 26 indexed citations
18.
19.
Jiang, Qian, et al.. (2005). Parkin Stabilizes Microtubules through Strong Binding Mediated by Three Independent Domains. Journal of Biological Chemistry. 280(17). 17154–17162. 117 indexed citations
20.
Sutton, Mark D. & Jon M. Kaguni. (1997). Threonine 435 of Escherichia coli DnaA Protein Confers Sequence-specific DNA Binding Activity. Journal of Biological Chemistry. 272(37). 23017–23024. 49 indexed citations

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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