Gary M. Cox
Impact in
- Infectious Diseases top 0.1%
- Antifungal resistance and susceptibility
- Epidemiology top 0.2%
- Fungal Infections and Studies
- Nail Diseases and Treatments
Papers in
- Epidemiology 65
- Fungal Infections and Studies 55
- Nail Diseases and Treatments 14
-
- Antifungal resistance and susceptibility 48
- Co-authors
- Joseph Heitman (33 shared papers)John R. Perfect (31 shared papers)Yong‐Sun Bahn (5 shared papers)Arturo Casadevall (6 shared papers)Ping Wang (6 shared papers)J. Andrew Alspaugh (6 shared papers)Dena L. Toffaletti (5 shared papers)Kaihei Kojima (2 shared papers)
- Journals
- Infection and Immunity (13 papers)Eukaryotic Cell (11 papers)Microbiology (5 papers)Molecular Microbiology (5 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Gary M. Cox
88 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 130
- Infectious Diseases 3.8k
- Epidemiology 4.7k
- Microbiology 83
- Cell Biology 1.1k
- Plant Science 2.2k
Countries citing papers authored by Gary M. Cox
This map shows the geographic impact of Gary M. Cox'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 Gary M. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary M. Cox more than expected).
Fields of papers citing papers by Gary M. Cox
This network shows the impact of papers produced by Gary M. Cox. 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 Gary M. Cox. The network helps show where Gary M. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary M. Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 424 | |
| 2 | 2003 | 324 | |
| 3 | 2001 | 295 | |
| 4 | 2001 | 273 | |
| 5 | 2005 | 218 | |
| 6 | 2002 | 215 | |
| 7 | 2004 | 215 | |
| 8 | 2006 | 191 | |
| 9 | 2003 | 177 | |
| 10 | 2001 | 168 | |
| 11 | 2002 | 167 | |
| 12 | 2005 | 157 | |
| 13 | 2007 | 153 | |
| 14 | 2001 | 150 | |
| 15 | 2005 | 139 | |
| 16 | 2000 | 139 | |
| 17 | 2003 | 135 | |
| 18 | 1999 | 132 | |
| 19 | 2006 | 127 | |
| 20 | 1992 | 124 |
About Gary M. Cox
Gary M. Cox is a scholar working on Epidemiology, Infectious Diseases, Plant Science, Molecular Biology and Cell Biology, having authored 88 papers that have together received 7.0k indexed citations. Recurring topics across this work include Fungal Infections and Studies (55 papers), Antifungal resistance and susceptibility (48 papers), Plant-Microbe Interactions and Immunity (15 papers), Nail Diseases and Treatments (14 papers), Plant Pathogens and Fungal Diseases (13 papers), Toxin Mechanisms and Immunotoxins (8 papers), Plant Disease Resistance and Genetics (7 papers) and Signaling Pathways in Disease (7 papers). The work is most often cited by research in Infectious Diseases (3.8k citations), Epidemiology (4.7k citations), Microbiology (83 citations), Cell Biology (1.1k citations) and Plant Science (2.2k citations). Gary M. Cox has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Joseph Heitman, John R. Perfect, Yong‐Sun Bahn, Arturo Casadevall, Ping Wang, J. Andrew Alspaugh, Dena L. Toffaletti, Kaihei Kojima, Deborah S. Fox and Klaus B. Lengeler. Their work appears in journals such as Infection and Immunity, Eukaryotic Cell, Microbiology, Molecular Microbiology and PLoS ONE.
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.