David J. Mock
Impact in
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Influenza Virus Research Studies
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- Viral-associated cancers and disorders
- Polyomavirus and related diseases
Papers in
- Epidemiology 16
- Cytomegalovirus and herpesvirus research 10
- Herpesvirus Infections and Treatments 7
- Influenza Virus Research Studies 5
- Oncology 6
- Polyomavirus and related diseases 3
- Viral-associated cancers and disorders 3
- Co-authors
- Benjamin M. Blumberg (9 shared papers)Andrew Goodman (6 shared papers)Mary T. Caserta (1 shared paper)Stephen Dewhurst (1 shared paper)James M. Powers (4 shared papers)Norbert J. Roberts (7 shared papers)Masumi Ito (3 shared papers)Margot Mayer-Pröschel (4 shared papers)
- Journals
- Journal of Clinical Virology (2 papers)Journal of Neuroimmunology (1 paper)Journal of Clinical Microbiology (1 paper)Archives of Virology (1 paper)Retrovirology (1 paper)
- Partner nations
- United StatesPortugalItaly
In The Last Decade
David J. Mock
22 papers receiving 709 citations
Peers
Comparison fields: 5 of 76
- Epidemiology 380
- Oncology 193
- Infectious Diseases 124
- Pathology and Forensic Medicine 96
- Virology 26
Countries citing papers authored by David J. Mock
This map shows the geographic impact of David J. Mock'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 J. Mock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Mock more than expected).
Fields of papers citing papers by David J. Mock
This network shows the impact of papers produced by David J. Mock. 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 J. Mock. The network helps show where David J. Mock may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Mock, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 107 | |
| 2 | 2001 | 90 | |
| 3 | 2003 | 84 | |
| 4 | 2000 | 63 | |
| 5 | 2004 | 56 | |
| 6 | 1991 | 47 | |
| 7 | 2012 | 43 | |
| 8 | 1999 | 37 | |
| 9 | 2001 | 34 | |
| 10 | 1987 | 33 | |
| 11 | 1993 | 29 | |
| 12 | 2000 | 23 | |
| 13 | 2017 | 20 | |
| 14 | 1987 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 1993 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2006 | 7 | |
| 19 | 1989 | 6 | |
| 20 | 1990 | 3 |
About David J. Mock
David J. Mock is a scholar working on Epidemiology, Oncology, Immunology, Virology and Infectious Diseases, having authored 23 papers that have together received 728 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (7 papers), Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (4 papers), Polyomavirus and related diseases (3 papers), Viral-associated cancers and disorders (3 papers) and Parvovirus B19 Infection Studies (2 papers). The work is most often cited by research in Epidemiology (380 citations), Oncology (193 citations), Infectious Diseases (124 citations), Pathology and Forensic Medicine (96 citations) and Virology (26 citations). David J. Mock has collaborated with scholars based in United States, Portugal and Italy. Frequent co-authors include Benjamin M. Blumberg, Andrew Goodman, Mary T. Caserta, Stephen Dewhurst, James M. Powers, Norbert J. Roberts, Masumi Ito, Margot Mayer-Pröschel, Joan E. Nichols and Ann B. Moser. Their work appears in journals such as Journal of Clinical Virology, Journal of Neuroimmunology, Journal of Clinical Microbiology, Archives of Virology and Retrovirology.
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.