Gareth Williams
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 11
-
- Immune responses and vaccinations 9
- Co-authors
- Bindi Sohal (4 shared papers)Rachel L. Jones (1 shared paper)Nigel J. Waters (1 shared paper)Mark A. Chambers (7 shared papers)B. Lessel (2 shared papers)Nenad Manevski (3 shared papers)Si Palmer (4 shared papers)Markus Walles (3 shared papers)
- Journals
- Xenobiotica (3 papers)Vaccine (3 papers)Pharmaceutics (2 papers)Heliyon (2 papers)Nature (2 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Gareth Williams
24 papers receiving 479 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 87
- Infectious Diseases 111
- Pharmaceutical Science 35
- Small Animals 40
- Pharmacology 68
Countries citing papers authored by Gareth Williams
This map shows the geographic impact of Gareth Williams'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 Gareth Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Williams more than expected).
Fields of papers citing papers by Gareth Williams
This network shows the impact of papers produced by Gareth Williams. 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 Gareth Williams. The network helps show where Gareth Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Gareth Williams, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 249 | |
| 2 | 1970 | 44 | |
| 3 | 2017 | 38 | |
| 4 | 2018 | 27 | |
| 5 | 2014 | 19 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 1964 | 9 | |
| 13 | 1959 | 8 | |
| 14 | 1967 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2014 | 3 |
About Gareth Williams
Gareth Williams is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Pharmacology and Oncology, having authored 24 papers that have together received 509 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Immune responses and vaccinations (9 papers), Pharmacogenetics and Drug Metabolism (4 papers), Mycobacterium research and diagnosis (3 papers), vaccines and immunoinformatics approaches (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Tryptophan and brain disorders (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Pharmacology (87 citations), Infectious Diseases (111 citations), Pharmaceutical Science (35 citations), Small Animals (40 citations) and Pharmacology (68 citations). Gareth Williams has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Bindi Sohal, Rachel L. Jones, Nigel J. Waters, Mark A. Chambers, B. Lessel, Nenad Manevski, Si Palmer, Markus Walles, Gian Camenisch and W. E. Dickinson. Their work appears in journals such as Xenobiotica, Vaccine, Pharmaceutics, Heliyon and Nature.
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.