Gary M. Cox
Impact in
- Epidemiology top 0.2%
- Fungal Infections and Studies
- Cytomegalovirus and herpesvirus research
- Microbiology top 1%
- Actinomycetales infections and treatment
Papers in
- Epidemiology 54
- Fungal Infections and Studies 50
- Mycobacterium research and diagnosis 3
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- Antifungal resistance and susceptibility 4
- Tuberculosis Research and Epidemiology 3
- Co-authors
- Joseph Heitman (33 shared papers)John R. Perfect (38 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 (4 shared papers)Henry C. McDade (5 shared papers)
- Journals
- Infection and Immunity (13 papers)Eukaryotic Cell (11 papers)Molecular Microbiology (5 papers)Microbiology (5 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Gary M. Cox
89 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 90
- Epidemiology 3.9k
- Microbiology 81
- Molecular Biology 1.4k
- Infectious Diseases 444
- Neurology 133
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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 455 | |
| 2 | 2003 | 349 | |
| 3 | 2001 | 320 | |
| 4 | 2001 | 290 | |
| 5 | 2005 | 237 | |
| 6 | 2002 | 234 | |
| 7 | 2004 | 232 | |
| 8 | 2006 | 209 | |
| 9 | 2003 | 194 | |
| 10 | 2001 | 187 | |
| 11 | 2002 | 181 | |
| 12 | 2005 | 170 | |
| 13 | 2007 | 163 | |
| 14 | 2001 | 161 | |
| 15 | 2005 | 159 | |
| 16 | 2000 | 153 | |
| 17 | 2003 | 152 | |
| 18 | 2006 | 145 | |
| 19 | 2005 | 142 | |
| 20 | 1999 | 138 |
About Gary M. Cox
Gary M. Cox is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Neurology and Modeling and Simulation, having authored 89 papers that have together received 7.7k indexed citations. Recurring topics across this work include Fungal Infections and Studies (50 papers), Antifungal resistance and susceptibility (4 papers), Actinomycetales infections and treatment (3 papers), Mycobacterium research and diagnosis (3 papers), Tuberculosis Research and Epidemiology (3 papers), Fungal and yeast genetics research (3 papers), Signaling Pathways in Disease (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Epidemiology (3.9k citations), Microbiology (81 citations), Molecular Biology (1.4k citations), Infectious Diseases (444 citations) and Neurology (133 citations). Gary M. Cox has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Joseph Heitman, John R. Perfect, Yong‐Sun Bahn, Arturo Casadevall, Ping Wang, J. Andrew Alspaugh, Dena L. Toffaletti, Henry C. McDade, Kaihei Kojima and Deborah S. Fox. Their work appears in journals such as Infection and Immunity, Eukaryotic Cell, Molecular Microbiology, 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.