George S. Deepe
- Infectious Diseases top 0.2%
- Antifungal resistance and susceptibility 75
- Epidemiology top 0.5%
- Fungal Infections and Studies 112
- Parasitology top 1%
- Toxoplasma gondii Research Studies 35
- Vector-borne infectious diseases 10
- Immunology top 2%
- Toxin Mechanisms and Immunotoxins 25
- Small Animals top 1%
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- Plant-Microbe Interactions and Immunity 14
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- Antimicrobial Peptides and Activities 10
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- Trace Elements in Health 10
- Co-authors
- R AllendoerferReta S. GibbonsBruce S. KleinKavitha Subramanian VigneshMarcel WüthrichFrancisco J. GómezJoseph A. CarusoGeorge D. Brunner
- Journals
- JAMA (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (6 papers)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
George S. Deepe
165 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 125
- Infectious Diseases 3.0k
- Epidemiology 3.6k
- Parasitology 608
- Immunology 1.5k
- Small Animals 386
Countries citing papers authored by George S. Deepe
This map shows the geographic impact of George S. Deepe'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 George S. Deepe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George S. Deepe more than expected).
Fields of papers citing papers by George S. Deepe
This network shows the impact of papers produced by George S. Deepe. 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 George S. Deepe. The network helps show where George S. Deepe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George S. Deepe, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 12 | |
| 6 | IL-10–producing Tfh cells accumulate with age and link inflammation with age-related immune suppression | 2020 | 1 |
| 7 | 2019 | 14 | |
| 8 | 2016 | 8 | |
| 9 | 2016 | 30 | |
| 10 | 2007 | 1 | |
| 11 | 2004 | 89 | |
| 12 | 2003 | 134 | |
| 13 | 2003 | 37 | |
| 14 | 2002 | 67 | |
| 15 | 2002 | 40 | |
| 16 | 2001 | 46 | |
| 17 | 2001 | 11 | |
| 18 | 2001 | 14 | |
| 19 | 2000 | 44 | |
| 20 | Blastogenic responses to Pneumocystis carinii among patients with human immunodeficiency (HIV) infection. | 1988 | 24 |
About George S. Deepe
George S. Deepe is a scholar working on Parasitology, Infectious Diseases and Epidemiology, having authored 168 papers that have together received 5.7k indexed citations. Recurring topics across this work include Fungal Infections and Studies (112 papers), Antifungal resistance and susceptibility (75 papers), Toxoplasma gondii Research Studies (35 papers), Toxin Mechanisms and Immunotoxins (25 papers), Plant-Microbe Interactions and Immunity (14 papers), Antimicrobial Peptides and Activities (10 papers), Vector-borne infectious diseases (10 papers) and Trace Elements in Health (10 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Epidemiology (3.6k citations) and Parasitology (608 citations). George S. Deepe has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include R Allendoerfer, Reta S. Gibbons, Bruce S. Klein, Kavitha Subramanian Vignesh, Marcel Wüthrich, Francisco J. Gómez, Joseph A. Caruso, George D. Brunner, Julio A. Landero Figueroa and Jim E. Cutler. Their work appears in journals such as JAMA, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.