Neil A. R. Gow
- Infectious Diseases top 0.01%
- Antifungal resistance and susceptibility 247
- Epidemiology top 0.02%
- Fungal Infections and Studies 142
- Microbiology top 0.1%
- Plant Science top 0.1%
- Plant-Microbe Interactions and Immunity 33
- Polysaccharides and Plant Cell Walls 32
- Plant and Biological Electrophysiology Studies 24
- Cell Biology top 0.2%
- Plant Pathogens and Fungal Diseases 28
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- Fungal and yeast genetics research 68
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- Probiotics and Fermented Foods 28
- Co-authors
- Alistair J. P. BrownFrank C. OddsMihai G. NeteaCarol A. MunroGordon D. BrownDavid W. DenningTheodore C. WhiteStuart M. Levitz
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of Biological Chemistry (8 papers)Nature Communications (4 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Neil A. R. Gow
356 papers receiving 30.9k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Infectious Diseases 19.0k
- Epidemiology 13.5k
- Microbiology 1.7k
- Plant Science 7.5k
- Cell Biology 2.9k
Countries citing papers authored by Neil A. R. Gow
This map shows the geographic impact of Neil A. R. Gow'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 Neil A. R. Gow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil A. R. Gow more than expected).
Fields of papers citing papers by Neil A. R. Gow
This network shows the impact of papers produced by Neil A. R. Gow. 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 Neil A. R. Gow. The network helps show where Neil A. R. Gow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil A. R. Gow, 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 | 17 | |
| 2 | 2024 | 9 | |
| 3 | 2021 | 35 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 71 | |
| 6 | 2020 | 11 | |
| 7 | 2019 | 5 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 94 | |
| 10 | 2018 | 101 | |
| 11 | 2018 | 136 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 40 | |
| 14 | 2014 | 35 | |
| 15 | 2012 | 87 | |
| 16 | 2012 | 236 | |
| 17 | 2007 | 102 | |
| 18 | 2004 | 236 | |
| 19 | 2001 | 144 | |
| 20 | 1987 | 42 |
About Neil A. R. Gow
Neil A. R. Gow is a scholar working on Infectious Diseases, Epidemiology and Plant Science, having authored 360 papers that have together received 31.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (247 papers), Fungal Infections and Studies (142 papers), Fungal and yeast genetics research (68 papers), Plant-Microbe Interactions and Immunity (33 papers), Polysaccharides and Plant Cell Walls (32 papers), Probiotics and Fermented Foods (28 papers), Plant Pathogens and Fungal Diseases (28 papers) and Plant and Biological Electrophysiology Studies (24 papers). The work is most often cited by research in Infectious Diseases (19.0k citations), Epidemiology (13.5k citations) and Microbiology (1.7k citations). Neil A. R. Gow has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Alistair J. P. Brown, Frank C. Odds, Mihai G. Netea, Carol A. Munro, Gordon D. Brown, David W. Denning, Theodore C. White, Stuart M. Levitz, Louise A. Walker and Megan D. Lenardon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.