Gareth McVicker
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 6
- Vibrio bacteria research studies 6
- Genetics 12
- Bacterial Genetics and Biotechnology 8
- Yersinia bacterium, plague, ectoparasites research 3
- Co-authors
- Christoph M. Tang (5 shared papers)Alex Williams (3 shared papers)Tomasz K. Prajsnar (4 shared papers)Simon J. Foster (4 shared papers)Mike Boots (2 shared papers)Stephen A. Renshaw (3 shared papers)Giulia Pilla (3 shared papers)Ruth Hamilton (1 shared paper)
- Journals
- Molecular Microbiology (2 papers)mBio (2 papers)Journal of Medical Microbiology (1 paper)Cellular Microbiology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United KingdomFranceAustralia
In The Last Decade
Gareth McVicker
17 papers receiving 577 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 160
- Molecular Medicine 67
- Infectious Diseases 180
- Genetics 148
- Cell Biology 87
Countries citing papers authored by Gareth McVicker
This map shows the geographic impact of Gareth McVicker'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 McVicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth McVicker more than expected).
Fields of papers citing papers by Gareth McVicker
This network shows the impact of papers produced by Gareth McVicker. 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 McVicker. The network helps show where Gareth McVicker may publish in the future.
Co-authors
The 25 scholars most cited alongside Gareth McVicker, 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 | 2011 | 166 | |
| 2 | 2012 | 98 | |
| 3 | 2016 | 76 | |
| 4 | 2014 | 72 | |
| 5 | 2015 | 64 | |
| 6 | 2017 | 40 | |
| 7 | 2011 | 25 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Gareth McVicker
Gareth McVicker is a scholar working on Endocrinology, Genetics, Ecology, Immunology and Molecular Medicine, having authored 19 papers that have together received 584 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Escherichia coli research studies (6 papers), Vibrio bacteria research studies (6 papers), Bacteriophages and microbial interactions (5 papers), Aquaculture disease management and microbiota (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Endocrinology (160 citations), Molecular Medicine (67 citations), Infectious Diseases (180 citations), Genetics (148 citations) and Cell Biology (87 citations). Gareth McVicker has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Christoph M. Tang, Alex Williams, Tomasz K. Prajsnar, Simon J. Foster, Mike Boots, Stephen A. Renshaw, Giulia Pilla, Ruth Hamilton, Jorge Garcı́a-Lara and Carol V. Robinson. Their work appears in journals such as Molecular Microbiology, mBio, Journal of Medical Microbiology, Cellular Microbiology and PLoS Genetics.
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.