Mark S. Thomas
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 24
- Bacterial biofilms and quorum sensing 5
- Genetics 33
- Bacterial Genetics and Biotechnology 33
- Co-authors
- Jonathan G. Shaw (4 shared papers)R. B. Flavell (2 shared papers)Robert E. Glass (4 shared papers)Michio Nomura (2 shared papers)Grzegorz Węgrzyn (7 shared papers)Andrew W. Heath (5 shared papers)Adele McCormick (4 shared papers)Stephen Busby (5 shared papers)
- Journals
- Journal of Bacteriology (11 papers)Microbiology (8 papers)Nucleic Acids Research (3 papers)Molecular Microbiology (3 papers)BioMetals (3 papers)
- Partner nations
- United KingdomPolandUnited States
In The Last Decade
Mark S. Thomas
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Endocrinology 324
- Molecular Medicine 143
- Microbiology 140
- Genetics 604
- Molecular Biology 939
Countries citing papers authored by Mark S. Thomas
This map shows the geographic impact of Mark S. Thomas'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 S. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Thomas more than expected).
Fields of papers citing papers by Mark S. Thomas
This network shows the impact of papers produced by Mark S. Thomas. 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 S. Thomas. The network helps show where Mark S. Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Thomas, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 193 | |
| 2 | 2017 | 115 | |
| 3 | 1990 | 107 | |
| 4 | 1991 | 74 | |
| 5 | 2006 | 72 | |
| 6 | 2007 | 71 | |
| 7 | 2017 | 67 | |
| 8 | 2010 | 63 | |
| 9 | 1987 | 57 | |
| 10 | 2002 | 56 | |
| 11 | 2002 | 51 | |
| 12 | 1987 | 51 | |
| 13 | 2001 | 48 | |
| 14 | 2013 | 45 | |
| 15 | 2000 | 40 | |
| 16 | 2018 | 35 | |
| 17 | 2003 | 34 | |
| 18 | 2002 | 33 | |
| 19 | 1992 | 32 | |
| 20 | 2011 | 30 |
About Mark S. Thomas
Mark S. Thomas is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Epidemiology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (33 papers), RNA and protein synthesis mechanisms (24 papers), Bacteriophages and microbial interactions (15 papers), Legume Nitrogen Fixing Symbiosis (13 papers), Plant Pathogenic Bacteria Studies (6 papers), Cystic Fibrosis Research Advances (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Endocrinology (324 citations), Molecular Medicine (143 citations), Microbiology (140 citations), Genetics (604 citations) and Molecular Biology (939 citations). Mark S. Thomas has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Jonathan G. Shaw, R. B. Flavell, Robert E. Glass, Michio Nomura, Grzegorz Węgrzyn, Andrew W. Heath, Adele McCormick, Stephen Busby, Marie‐Stéphanie Aschtgen and Eric Cascalès. Their work appears in journals such as Journal of Bacteriology, Microbiology, Nucleic Acids Research, Molecular Microbiology and BioMetals.
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.