R R Redfield

1.1k total citations
8 papers, 746 citations indexed

About

R R Redfield is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, R R Redfield has authored 8 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in R R Redfield's work include HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (2 papers) and Glycosylation and Glycoproteins Research (1 paper). R R Redfield is often cited by papers focused on HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (2 papers) and Glycosylation and Glycoproteins Research (1 paper). R R Redfield collaborates with scholars based in United States. R R Redfield's co-authors include Carolyn M. Brown, William D. James, David C. Wright, T. Stephen Jones, Donald S. Burke, N L Michael, Charles A. Schable, John F. Brundage, James J. Damato and J D Mosca and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

R R Redfield

8 papers receiving 714 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R R Redfield United States	8	424	328	293	168	140	8	746
F. Lauré France	9	476 1.1×	329 1.0×	341 1.2×	154 0.9×	104 0.7×	15	758
M. Brad Guffey United States	8	424 1.0×	348 1.1×	149 0.5×	110 0.7×	87 0.6×	9	579
E K Cobb United States	13	805 1.9×	291 0.9×	441 1.5×	397 2.4×	262 1.9×	13	1.1k
Li‐Hua Ping United States	8	532 1.3×	330 1.0×	208 0.7×	238 1.4×	326 2.3×	16	910
W. T. London United States	13	82 0.2×	195 0.6×	384 1.3×	168 1.0×	97 0.7×	24	771
Jean L. Mbisa United Kingdom	18	799 1.9×	691 2.1×	491 1.7×	216 1.3×	305 2.2×	51	1.2k
William E. Dowling United States	13	250 0.6×	480 1.5×	149 0.5×	96 0.6×	154 1.1×	18	736
M J McElrath United States	12	528 1.2×	291 0.9×	375 1.3×	381 2.3×	132 0.9×	13	960
Linda Fritts United States	19	458 1.1×	321 1.0×	360 1.2×	423 2.5×	115 0.8×	33	957
Lei Ba United States	13	444 1.0×	653 2.0×	200 0.7×	160 1.0×	102 0.7×	14	846

Countries citing papers authored by R R Redfield

Since Specialization

Citations

This map shows the geographic impact of R R Redfield'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 R Redfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R R Redfield more than expected).

Fields of papers citing papers by R R Redfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R R Redfield

This figure shows the co-authorship network connecting the top 25 collaborators of R R Redfield. A scholar is included among the top collaborators of R R Redfield based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R R Redfield. R R Redfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Michael, N L, Abderrazzak Merzouki, Michael V. O’Shaughnessy, et al.. (1995). Human immunodeficiency virus type 1 cellular RNA load and splicing patterns predict disease progression in a longitudinally studied cohort. Journal of Virology. 69(3). 1868–1877. 59 indexed citations

VanCott, Thomas C., Florian Bethke, V. S. Kalyanaraman, et al.. (1994). Preferential antibody recognition of structurally distinct HIV-1 gp120 molecules.. PubMed. 7(11). 1103–15. 9 indexed citations

Warren, Ronald Q., Stephanie A. Anderson, Watoky M.M.M. Nkya, et al.. (1992). Examination of sera from human immunodeficiency virus type 1 (HIV-1)-infected individuals for antibodies reactive with peptides corresponding to the principal neutralizing determinant of HIV-1 gp120 and for in vitro neutralizing activity. Journal of Virology. 66(9). 5210–5215. 23 indexed citations

Michael, N L, et al.. (1991). Induction of human immunodeficiency virus type 1 expression in chronically infected cells is associated primarily with a shift in RNA splicing patterns. Journal of Virology. 65(3). 1291–1303. 84 indexed citations

Burke, Donald S., et al.. (1988). Measurement of the False Positive Rate in a Screening Program for Human Immunodeficiency Virus Infections. New England Journal of Medicine. 319(15). 961–964. 151 indexed citations

Redfield, R R, et al.. (1987). Disseminated Vaccinia in a Military Recruit with Human Immunodeficiency Virus (HIV) Disease. New England Journal of Medicine. 316(11). 673–676. 311 indexed citations

Binn, Leonard N., Stanley M. Lemon, Ruth H. Marchwicki, et al.. (1984). Primary isolation and serial passage of hepatitis A virus strains in primate cell cultures. Journal of Clinical Microbiology. 20(1). 28–33. 82 indexed citations

Sweet, Raymond W., et al.. (1974). The Presence of Unique DNA Sequences after Viral Induction of Leukemia in Mice. Proceedings of the National Academy of Sciences. 71(5). 1705–1709. 27 indexed citations

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.

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