David N. Everly
Impact in
- Immunology top 10%
- interferon and immune responses
- Epidemiology top 5%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
- Oncology 10
- Viral-associated cancers and disorders 9
- Cancer-related Molecular Pathways 2
-
- Herpesvirus Infections and Treatments 6
- Co-authors
- G. Sullivan Read (6 shared papers)Nancy Raab‐Traub (6 shared papers)Pinghui Feng (3 shared papers)Bernardo A. Mainou (5 shared papers)Shahzad I. Mian (1 shared paper)Vivek Vikram Singh (1 shared paper)Jie Lu (1 shared paper)Dipanjan Dutta (1 shared paper)
- Journals
- Journal of Virology (12 papers)Virology (2 papers)Journal of Perinatology (1 paper)Microbiology Spectrum (1 paper)Virology Journal (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
David N. Everly
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 59
- Immunology 316
- Epidemiology 453
- Oncology 357
- Virology 38
- Pathology and Forensic Medicine 119
Countries citing papers authored by David N. Everly
This map shows the geographic impact of David N. Everly'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 N. Everly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. Everly more than expected).
Fields of papers citing papers by David N. Everly
This network shows the impact of papers produced by David N. Everly. 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 N. Everly. The network helps show where David N. Everly may publish in the future.
Co-authors
The 19 scholars most cited alongside David N. Everly, 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 | 2013 | 164 | |
| 2 | 2002 | 137 | |
| 3 | 2005 | 113 | |
| 4 | 2005 | 101 | |
| 5 | 2001 | 87 | |
| 6 | 2004 | 74 | |
| 7 | 2007 | 66 | |
| 8 | 2004 | 48 | |
| 9 | 1997 | 47 | |
| 10 | 1995 | 44 | |
| 11 | 1999 | 32 | |
| 12 | 2021 | 27 | |
| 13 | 2016 | 25 | |
| 14 | 2008 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2009 | 11 | |
| 17 | 2011 | 9 | |
| 18 | 2012 | 8 |
About David N. Everly
David N. Everly is a scholar working on Oncology, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), Herpesvirus Infections and Treatments (6 papers), Viral Infections and Immunology Research (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Histiocytic Disorders and Treatments (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Inflammasome and immune disorders (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (316 citations), Epidemiology (453 citations), Oncology (357 citations), Virology (38 citations) and Pathology and Forensic Medicine (119 citations). David N. Everly has collaborated with scholars based in United States and Japan. Frequent co-authors include G. Sullivan Read, Nancy Raab‐Traub, Pinghui Feng, Bernardo A. Mainou, Shahzad I. Mian, Vivek Vikram Singh, Jie Lu, Dipanjan Dutta, Chikoti Leela and Mohanan Valiya Veettil. Their work appears in journals such as Journal of Virology, Virology, Journal of Perinatology, Microbiology Spectrum and Virology Journal.
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.