Neil A. R. Gow

44.7k citations
360 papers · 31.5k indexed · 12 hit papers · h-index 91
Topics
Antifungal resistance and susceptibility (247 papers)Fungal Infections and Studies (142 papers)Fungal and yeast genetics research (68 papers)

In The Last Decade

Neil A. R. Gow

356 papers receiving 30.9k citations

Hit Papers

Hidden Killers: Human Fungal Infections19972026200620162012201720032007200410002.0k3.0k

Peers

Neil A. R. Gow
Comparison fields: 5 of 177
  • Infectious Diseases 19.0k
  • Epidemiology 13.5k
  • Molecular Biology 10.9k
  • Plant Science 7.5k
  • Food Science 3.0k
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 of co-authors of Neil A. R. Gow

This figure shows the co-authorship network connecting the top 25 collaborators of Neil A. R. Gow. A scholar is included among the top collaborators of Neil A. R. Gow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil A. R. Gow. Neil A. R. Gow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 9
3 35
4 14
5 71
6 11
7 5
8 26
9 94
10 101
11 136
12 19
13 40
14 35
15 87
16 236
17 102
18 236
19 144
20 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) and Fungal and yeast genetics research (68 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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