Will P. M. Rowe
Impact in
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
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- Salmonella and Campylobacter epidemiology 4
-
- Antibiotic Resistance in Bacteria 2
- Co-authors
- David W. Verner–Jeffreys (4 shared papers)Craig Baker‐Austin (3 shared papers)Duncan J. Maskell (3 shared papers)Jim J. Ryan (3 shared papers)GR Pearce (3 shared papers)Christianne Micallef (1 shared paper)Jay C. D. Hinton (4 shared papers)Kate S. Baker (2 shared papers)
- Journals
- Genome biology (2 papers)PLoS ONE (2 papers)Nature Microbiology (1 paper)Microbiome (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Will P. M. Rowe
16 papers receiving 668 citations
Peers
Comparison fields: 5 of 47
- Food Science 185
- Pollution 104
- Molecular Medicine 46
- Endocrinology 11
- Dermatology 19
Countries citing papers authored by Will P. M. Rowe
This map shows the geographic impact of Will P. M. Rowe'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 Will P. M. Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will P. M. Rowe more than expected).
Fields of papers citing papers by Will P. M. Rowe
This network shows the impact of papers produced by Will P. M. Rowe. 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 Will P. M. Rowe. The network helps show where Will P. M. Rowe may publish in the future.
Co-authors
The 25 scholars most cited alongside Will P. M. Rowe, 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 | 2020 | 104 | |
| 2 | 2017 | 100 | |
| 3 | 2021 | 77 | |
| 4 | 2019 | 63 | |
| 5 | 2017 | 61 | |
| 6 | 2015 | 50 | |
| 7 | 2021 | 43 | |
| 8 | 2015 | 42 | |
| 9 | 2015 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 24 | |
| 12 | 2017 | 22 | |
| 13 | 2019 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2019 | 9 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 0 |
About Will P. M. Rowe
Will P. M. Rowe is a scholar working on Food Science, Molecular Medicine, Pollution, Dermatology and Genetics, having authored 17 papers that have together received 678 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Antibiotic Resistance in Bacteria (2 papers), Dermatology and Skin Diseases (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Food Science (185 citations), Pollution (104 citations), Molecular Medicine (46 citations), Endocrinology (11 citations) and Dermatology (19 citations). Will P. M. Rowe has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include David W. Verner–Jeffreys, Craig Baker‐Austin, Duncan J. Maskell, Jim J. Ryan, GR Pearce, Christianne Micallef, Jay C. D. Hinton, Kate S. Baker, Siân V. Owen and Martyn Winn. Their work appears in journals such as Genome biology, PLoS ONE, Nature Microbiology, Microbiome and PLoS neglected tropical diseases.
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.