Gavin H. Thomas
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 21
- Endocrinology top 2%
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 22
- Glycosylation and Glycoproteins Research 18
- Microbial Metabolic Engineering and Bioproduction 15
- RNA and protein synthesis mechanisms 14
- Genetics top 2%
- Bacterial Genetics and Biotechnology 36
- Biochemistry top 2%
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- Drug Transport and Resistance Mechanisms 19
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- Enzyme Structure and Function 16
Gavin H. Thomas
121 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 155
- Molecular Medicine 317
- Endocrinology 277
- Molecular Biology 2.8k
- Genetics 1.1k
- Biochemistry 263
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 33 | |
| 16 | EFFECT OF CATECHIN RICH GREEN TEA (CAMELLIA SINENSIS) EXTRACTS ON OBESITY TRIGGERED HEPATIC STEATOSIS IN RATS FED WITH HFCS | 2013 | 1 |
| 17 | Methicillin-resistant Staphylococcus aureus (MRSA): isolation from nasal and throat swabs transported in liquid or semisolid media; identification by PCR compared with | 2013 | 1 |
| 18 | 2000 | 16 | |
| 19 | 1999 | 31 | |
| 20 | 1999 | 1 |
About Gavin H. Thomas
Gavin H. Thomas is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Genetics, having authored 134 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), Genomics and Phylogenetic Studies (22 papers), Antibiotic Resistance in Bacteria (21 papers), Drug Transport and Resistance Mechanisms (19 papers), Glycosylation and Glycoproteins Research (18 papers), Enzyme Structure and Function (16 papers), Microbial Metabolic Engineering and Bioproduction (15 papers) and RNA and protein synthesis mechanisms (14 papers). The work is most often cited by research in Molecular Medicine (317 citations), Endocrinology (277 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, Derek W. Hood, Mike Merrick, Christopher Mulligan, Jeff Cole, Marcus Fischer, Sandy MacDonald, Angela E. Douglas and Graham Coutts. Their work appears in journals such as Microbiology, Journal of Biological Chemistry, Biochemical Journal, Trends in Microbiology 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.