Robert J. Biggar
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Infectious Diseases top 0.2%
- HIV/AIDS Research and Interventions
- Parvovirus B19 Infection Studies
Papers in
- Virology 28
- HIV Research and Treatment 28
-
- HIV/AIDS Research and Interventions 34
- Parvovirus B19 Infection Studies 31
- Co-authors
- Mads MelbyeEric A. EngelsJames J. GoedertTimothy R. CotéDenise WhitbySam M. MbulaiteyeRuth M. PfeifferWilliam A. Blattner
- Journals
- International Journal of Cancer (31 papers)The Journal of Infectious Diseases (19 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (16 papers)American Journal of Epidemiology (16 papers)AIDS (11 papers)
- Partner nations
- United StatesDenmarkGhana
In The Last Decade
Robert J. Biggar
234 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Virology 2.0k
- Infectious Diseases 4.0k
- Oncology 5.2k
- Epidemiology 4.9k
- Pathology and Forensic Medicine 2.4k
Countries citing papers authored by Robert J. Biggar
This map shows the geographic impact of Robert J. Biggar'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 J. Biggar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Biggar more than expected).
Fields of papers citing papers by Robert J. Biggar
This network shows the impact of papers produced by Robert J. Biggar. 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 J. Biggar. The network helps show where Robert J. Biggar may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Biggar, 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 | 2019 | 17 | |
| 2 | 2017 | 1 | |
| 3 | 2017 | 17 | |
| 4 | 2015 | 24 | |
| 5 | 2009 | 12 | |
| 6 | 2008 | 52 | |
| 7 | 2008 | 69 | |
| 8 | 2006 | 11 | |
| 9 | 1994 | 49 | |
| 10 | 1993 | 7 | |
| 11 | 1993 | 31 | |
| 12 | 1993 | 21 | |
| 13 | 1990 | 124 | |
| 14 | 1985 | 127 | |
| 15 | 1985 | 43 | |
| 16 | 1984 | 112 | |
| 17 | 1983 | 32 | |
| 18 | Factors related to low t lymphocyte ratios in danish homo sexual men | 1983 | 1 |
| 19 | 1983 | 15 | |
| 20 | 1977 | 4 |
About Robert J. Biggar
Robert J. Biggar is a scholar working on Virology, Infectious Diseases, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 237 papers that have together received 13.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (81 papers), Lymphoma Diagnosis and Treatment (47 papers), HIV/AIDS Research and Interventions (34 papers), Parvovirus B19 Infection Studies (31 papers), T-cell and Retrovirus Studies (30 papers), Cytomegalovirus and herpesvirus research (30 papers), HIV Research and Treatment (28 papers) and Animal Disease Management and Epidemiology (22 papers). The work is most often cited by research in Virology (2.0k citations), Infectious Diseases (4.0k citations), Oncology (5.2k citations), Epidemiology (4.9k citations) and Pathology and Forensic Medicine (2.4k citations). Robert J. Biggar has collaborated with scholars based in United States, Denmark and Ghana. Frequent co-authors include Mads Melbye, Eric A. Engels, James J. Goedert, James J. Goedert, Timothy R. Coté, Denise Whitby, Sam M. Mbulaiteye, Ruth M. Pfeiffer, William A. Blattner and Timothy S. McNeel. Their work appears in journals such as International Journal of Cancer, The Journal of Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, American Journal of Epidemiology and AIDS.
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.