Gavin H. Thomas
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 21
- Glycosylation and Glycoproteins Research 18
- RNA and protein synthesis mechanisms 14
- Genetics 39
- Bacterial Genetics and Biotechnology 37
- Co-authors
- Emmanuele Severi (12 shared papers)David J. Kelly (12 shared papers)Mike Merrick (5 shared papers)Derek W. Hood (2 shared papers)Christopher Mulligan (7 shared papers)Graham Coutts (3 shared papers)Jeff Cole (4 shared papers)Marcus Fischer (4 shared papers)
- Journals
- Microbiology (16 papers)Journal of Biological Chemistry (8 papers)Trends in Microbiology (7 papers)Biochemical Journal (7 papers)Molecular Microbiology (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Gavin H. Thomas
123 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 157
- Molecular Medicine 316
- Endocrinology 270
- Biochemistry 317
- Genetics 1.2k
- Molecular Biology 2.8k
Countries citing papers authored by Gavin H. Thomas
This map shows the geographic impact of Gavin H. 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 Gavin H. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin H. Thomas more than expected).
Fields of papers citing papers by Gavin H. Thomas
This network shows the impact of papers produced by Gavin H. 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 Gavin H. Thomas. The network helps show where Gavin H. Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin H. 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 402 | |
| 2 | 2007 | 381 | |
| 3 | 2019 | 246 | |
| 4 | 2002 | 195 | |
| 5 | 2010 | 185 | |
| 6 | 2010 | 162 | |
| 7 | 1996 | 142 | |
| 8 | 1999 | 136 | |
| 9 | 2001 | 133 | |
| 10 | 2000 | 116 | |
| 11 | 2019 | 116 | |
| 12 | 2005 | 114 | |
| 13 | 2015 | 110 | |
| 14 | 2015 | 110 | |
| 15 | 2000 | 103 | |
| 16 | 2019 | 99 | |
| 17 | 2005 | 89 | |
| 18 | 2009 | 89 | |
| 19 | 2009 | 87 | |
| 20 | 2018 | 82 |
About Gavin H. Thomas
Gavin H. Thomas is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Molecular Medicine, having authored 137 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), Antibiotic Resistance in Bacteria (22 papers), Genomics and Phylogenetic Studies (21 papers), Drug Transport and Resistance Mechanisms (20 papers), Glycosylation and Glycoproteins Research (18 papers), Enzyme Structure and Function (16 papers), Bacteriophages and microbial interactions (14 papers) and RNA and protein synthesis mechanisms (14 papers). The work is most often cited by research in Molecular Medicine (316 citations), Endocrinology (270 citations), Biochemistry (317 citations), Genetics (1.2k citations) and Molecular Biology (2.8k citations). Gavin H. Thomas has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Emmanuele Severi, David J. Kelly, Mike Merrick, Derek W. Hood, Christopher Mulligan, Graham Coutts, Jeff Cole, Marcus Fischer, Sandy MacDonald and Angela E. Douglas. Their work appears in journals such as Microbiology, Journal of Biological Chemistry, Trends in Microbiology, Biochemical Journal and Molecular Microbiology.
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.