Robert E. Means
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 1%
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
- Co-authors
- Ronald C. Desrosiers (7 shared papers)Sabine M. Lang (10 shared papers)Julie N. Reitter (1 shared paper)Jae Ung Jung (12 shared papers)Susan M. Kaech (1 shared paper)William Khoury-Hanold (1 shared paper)Michal Caspi Tal (1 shared paper)James R. Smiley (1 shared paper)
- Journals
- Journal of Virology (14 papers)Virology (3 papers)The Journal of Immunology (2 papers)AIDS Research and Human Retroviruses (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Robert E. Means
54 papers receiving 4.4k citations
Robert E. Means's Hit Papers
Peers
Comparison fields: 5 of 111
- Virology 1.1k
- Immunology 1.9k
- Infectious Diseases 704
- Epidemiology 1.2k
- Oncology 566
Countries citing papers authored by Robert E. Means
This map shows the geographic impact of Robert E. Means'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 Robert E. Means with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Means more than expected).
Fields of papers citing papers by Robert E. Means
This network shows the impact of papers produced by Robert E. Means. 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 Robert E. Means. The network helps show where Robert E. Means may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. Means, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitochondrial DNA stress primes the antiviral innate immune response Hit paper breakdown → | 2015 | 1557 |
| 2 | 1998 | 497 | |
| 3 | 2010 | 210 | |
| 4 | 1997 | 148 | |
| 5 | 2013 | 139 | |
| 6 | 1998 | 132 | |
| 7 | 2010 | 124 | |
| 8 | 2000 | 98 | |
| 9 | 2001 | 94 | |
| 10 | 2006 | 91 | |
| 11 | 2006 | 77 | |
| 12 | 2002 | 71 | |
| 13 | 1997 | 71 | |
| 14 | 2002 | 68 | |
| 15 | 2021 | 68 | |
| 16 | 1998 | 62 | |
| 17 | 2002 | 55 | |
| 18 | 2003 | 53 | |
| 19 | 2014 | 52 | |
| 20 | 2004 | 51 |
About Robert E. Means
Robert E. Means is a scholar working on Virology, Oncology, Immunology, Epidemiology and Infectious Diseases, having authored 54 papers that have together received 4.4k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (18 papers), Cytomegalovirus and herpesvirus research (13 papers), HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (9 papers), Herpesvirus Infections and Treatments (9 papers), Histiocytic Disorders and Treatments (7 papers), HIV/AIDS drug development and treatment (4 papers) and Fire effects on ecosystems (4 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (1.9k citations), Infectious Diseases (704 citations), Epidemiology (1.2k citations) and Oncology (566 citations). Robert E. Means has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Ronald C. Desrosiers, Sabine M. Lang, Julie N. Reitter, Jae Ung Jung, Susan M. Kaech, William Khoury-Hanold, Michal Caspi Tal, James R. Smiley, Andrew Phillip West and Megan L. Bestwick. Their work appears in journals such as Journal of Virology, Virology, The Journal of Immunology, AIDS Research and Human Retroviruses 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.