David E. Briles
- Microbiology top 0.01%
- Bacterial Infections and Vaccines 101
- Epidemiology top 0.05%
- Pneumonia and Respiratory Infections 193
- Respiratory viral infections research 88
- Pneumocystis jirovecii pneumonia detection and treatment 22
- Immunology top 0.5%
- Immunodeficiency and Autoimmune Disorders 24
- Endocrinology top 0.5%
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- Streptococcal Infections and Treatments 60
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- Monoclonal and Polyclonal Antibodies Research 35
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- Glycosylation and Glycoproteins Research 23
- Co-authors
- Susan K. HollingsheadJanet YotherLarry S. McDanielJames C. PatonAlexander J. SzalaiC FormanJoseph M. DavieMoon H. Nahm
- Cited by
- MicrobiologyEpidemiologyImmunology
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
David E. Briles
281 papers receiving 15.1k citations
Peers
Comparison fields: 5 of 133
- Microbiology 5.4k
- Epidemiology 10.0k
- Immunology 4.2k
- Endocrinology 617
- Public Health, Environmental and Occupational Health 2.9k
Countries citing papers authored by David E. Briles
This map shows the geographic impact of David E. Briles'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 David E. Briles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Briles more than expected).
Fields of papers citing papers by David E. Briles
This network shows the impact of papers produced by David E. Briles. 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 David E. Briles. The network helps show where David E. Briles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Briles, 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 | 2023 | 7 | |
| 2 | 2021 | 30 | |
| 3 | 2020 | 19 | |
| 4 | 2018 | 10 | |
| 5 | 2017 | 16 | |
| 6 | 2009 | 63 | |
| 7 | 2008 | 30 | |
| 8 | 2007 | 87 | |
| 9 | 2007 | 30 | |
| 10 | 2007 | 65 | |
| 11 | 2006 | 33 | |
| 12 | 2004 | 88 | |
| 13 | 2003 | 84 | |
| 14 | 2000 | 36 | |
| 15 | 1996 | 119 | |
| 16 | 1991 | 35 | |
| 17 | 1988 | 19 | |
| 18 | 1987 | 166 | |
| 19 | 1984 | 58 | |
| 20 | Analysis of the Diversity of Murine Antibodies to Dextran B1355: I. Generation of a Large, Pauci-Clonal Response by a Bacterial Vaccine | 1976 | 36 |
About David E. Briles
David E. Briles is a scholar working on Microbiology, Epidemiology and Immunology, having authored 281 papers that have together received 15.5k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (193 papers), Bacterial Infections and Vaccines (101 papers), Respiratory viral infections research (88 papers), Streptococcal Infections and Treatments (60 papers), Monoclonal and Polyclonal Antibodies Research (35 papers), Immunodeficiency and Autoimmune Disorders (24 papers), Glycosylation and Glycoproteins Research (23 papers) and Pneumocystis jirovecii pneumonia detection and treatment (22 papers). The work is most often cited by research in Microbiology (5.4k citations), Epidemiology (10.0k citations) and Immunology (4.2k citations). David E. Briles has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Susan K. Hollingshead, Janet Yother, Larry S. McDaniel, James C. Paton, Alexander J. Szalai, C Forman, Joseph M. Davie, Moon H. Nahm, Marilyn J. Crain and Alexis Brooks-Walter. Their work appears in journals such as Infection and Immunity, The Journal of Immunology, Vaccine, Microbial Pathogenesis and The Journal of Infectious Diseases.
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.