Neil A. R. Gow

44.7k citations
360 papers · 31.5k indexed · 12 hit papers · h-index 91

Neil A. R. Gow

356 papers receiving 30.9k citations

Hit Papers

Candi...50199720262006201610002.0k3.0k

Peers

Neil A. R. Gow
Comparison fields: 5 of 177
  • Infectious Diseases 19.0k
  • Epidemiology 13.5k
  • Microbiology 1.7k
  • Plant Science 7.5k
  • Cell Biology 2.9k
Replace Frank C. Odds with:
Frank C. Odds United Kingdom
Mahmoud A. Ghannoum United States
John R. Perfect United States
Gordon D. Brown United Kingdom
Bernhard Hube Germany
Jean‐Paul Latgé France
Alistair J. P. Brown United Kingdom
Aaron P. Mitchell United States
Joseph Heitman United States
Joshua D. Nosanchuk United States
Neil A. R. Gow relative to Frank C. Odds United Kingdom Frank C. Odds's profile →
Citations per field
00.5×5.4×
Frank C. Odds · 1×
Citations per year

Countries citing papers authored by Neil A. R. Gow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Neil A. R. Gow Line = papers co-authored together Neil A. R. Gow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202417
2 20249
3 202135
4 202114
5 202071
6 202011
7 20195
8 201926
9 201894
10 2018101
11 2018136
12 201819
13 201840
14 201435
15 201287
16 2012236
17 2007102
18 2004236
19 2001144
20 198742

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.

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