R J Biggar

1.1k citations
20 papers · 733 indexed · h-index 15

R J Biggar

19 papers receiving 699 citations

Peers

R J Biggar
Comparison fields: 5 of 85
  • Virology 196
  • Infectious Diseases 311
  • Oncology 307
  • Pathology and Forensic Medicine 138
  • Epidemiology 224
Replace JamesJ. Goedert with:
JamesJ. Goedert United States
S M Forster United Kingdom
Christopher Thomas United States
Joanne Strussenberg United States
Philippe Hermans Belgium
R. Linde Germany
Ronald J. Grossman United States
Antônio Victor Campos Coelho Brazil
Marjorie Hubbard United States
MV Ragni United States
R J Biggar relative to JamesJ. Goedert United States JamesJ. Goedert's profile →
Citations per field
00.5×1.5×
JamesJ. Goedert · 1×
Citations per year

Countries citing papers authored by R J Biggar

Since Specialization
Citations

This map shows the geographic impact of R 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 R 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 R J Biggar more than expected).

Fields of papers citing papers by R J Biggar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R 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 R J Biggar. The network helps show where R J Biggar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside R J Biggar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R J Biggar Line = papers co-authored together R J Biggar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199950
2 199938
3 1998111
4 199753
5 19974
6 199247
7 199127
8 1991111
9 199047
10
Specific transfer factor with activity against Epstein-Barr virus reduces late relapse in endemic Burkitt's lymphoma.
199021
11 19906
12
Kaposi's sarcoma in three HIV-1-infected cohorts.
199022
13 198939
14 198832
15
Sexual habits and social factors in local Ghanaian prostitutes which could affect the spread of Human Immu- nodeficiency Virus (HIV)
19872
16
A report on Human Immuno- deficiency virus (HIV) Infection in Ghana up to December 1986
19872
17 198627
18 198575
19
Utilization and expenditures for ambulatory medical care by people hospitalized: United States, 1980.
19851
20 198318

About R J Biggar

R J Biggar is a scholar working on Virology, Oncology and Agronomy and Crop Science, having authored 20 papers that have together received 733 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), HIV Research and Treatment (5 papers), T-cell and Retrovirus Studies (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Animal Disease Management and Epidemiology (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Histiocytic Disorders and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Virology (196 citations), Infectious Diseases (311 citations) and Oncology (307 citations). R J Biggar has collaborated with scholars based in United States, Denmark and Austria. Frequent co-authors include Mads Melbye, Patrick S. Moore, Yuan Chang, C. S. Rabkin, S. Alexander, Jan Wohlfahrt, Tine Westergaard, S Broder, James M. Pluda and Edward J. Sondik. Their work appears in journals such as JNCI Journal of the National Cancer Institute, American Journal of Epidemiology 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026