Gareth Williams
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 5
- Pharmaceutical Science top 10%
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- Tuberculosis Research and Epidemiology 11
- Small Animals top 10%
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- Pharmacogenetics and Drug Metabolism 5
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- Immune responses and vaccinations 9
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- Mycobacterium research and diagnosis 4
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- vaccines and immunoinformatics approaches 3
- Metabolomics and Mass Spectrometry Studies 2
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- Stress Responses and Cortisol 2
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- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Bindi SohalRachel L. JonesNigel J. WatersMark A. ChambersB. LesselW. E. DickinsonSandrine LesellierFrancisco J. Salguero
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Gareth Williams
24 papers receiving 453 citations
Peers
Comparison fields: 5 of 95
- Pharmacology 83
- Pharmaceutical Science 35
- Infectious Diseases 106
- Small Animals 38
- Pharmacology 66
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 5 | |
| 8 | Unravelling the Double Helix: The Lost Heroes of DNA | 2019 | 3 |
| 9 | 2018 | 10 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 12 | |
| 12 | 2017 | 36 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 10 | |
| 16 | 2014 | 2 | |
| 17 | 2014 | 18 | |
| 18 | 2008 | 240 | |
| 19 | 1967 | 6 | |
| 20 | 1959 | 6 |
About Gareth Williams
Gareth Williams is a scholar working on Biological Psychiatry, Infectious Diseases, Pharmacology, Behavioral Neuroscience and Immunology, having authored 24 papers that have together received 478 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Immune responses and vaccinations (9 papers), Pharmacogenetics and Drug Metabolism (5 papers), Mycobacterium research and diagnosis (4 papers), vaccines and immunoinformatics approaches (3 papers), Stress Responses and Cortisol (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Pharmacology (83 citations), Pharmaceutical Science (35 citations), Infectious Diseases (106 citations), Small Animals (38 citations) and Pharmacology (66 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, W. E. Dickinson, Sandrine Lesellier, Francisco J. Salguero, Jackie Nicholson and Nenad Manevski. Their work appears in journals such as Vaccine, Xenobiotica, Pharmaceutics, Nature and Heliyon.
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.