D. D. Richman

3.8k total citations
44 papers, 3.2k citations indexed

About

D. D. Richman is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, D. D. Richman has authored 44 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Virology, 29 papers in Infectious Diseases and 13 papers in Epidemiology. Recurrent topics in D. D. Richman's work include HIV Research and Treatment (34 papers), HIV/AIDS drug development and treatment (26 papers) and HIV/AIDS Research and Interventions (18 papers). D. D. Richman is often cited by papers focused on HIV Research and Treatment (34 papers), HIV/AIDS drug development and treatment (26 papers) and HIV/AIDS Research and Interventions (18 papers). D. D. Richman collaborates with scholars based in United States, United Kingdom and Spain. D. D. Richman's co-authors include Richard S. Kornbluth, C. David Pauza, Patrick H. Cleveland, Dennis A. Carson, James R. Munis, Richard E. Chaisson, Joel E. Gallant, Jeanne Keruly, Chihiro Terai and Jacques Corbeil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

D. D. Richman

43 papers receiving 3.1k citations

Peers

D. D. Richman
Comparison fields: 5 of 108
  • Virology 2.0k
  • Infectious Diseases 1.6k
  • Epidemiology 1.1k
  • Immunology 677
  • Molecular Biology 527
Replace M. S. Hirsch with:
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Citations per field, relative to D. D. Richman
D. D. Richman · 1×
Citations per year, relative to D. D. Richman
D. D. Richman · 1×

Countries citing papers authored by D. D. Richman

Since Specialization
Citations

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

Fields of papers citing papers by D. D. Richman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. D. Richman

This figure shows the co-authorship network connecting the top 25 collaborators of D. D. Richman. A scholar is included among the top collaborators of D. D. Richman 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 D. D. Richman. D. D. Richman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 53
2 17
3 37
4
Using mixtures of amino acids to detect individual- and population-level selection of HIV-1 protease
1
5 14
6
An individual-based epidemiological model for the transmission of drug resistant HIV
2
7 26
8 15
9 440
10 55
11 31
12 373
13 87
14 100
15 57
16 91
17
Safety and Efficacy of zidovudine in asymptomatic HIV infected individuals withless than 500 CD4+ cells/mm3.
5
18 250
19
Results of continued monitoring of participants in the placebo-controlled trial of zidovudine for serious human immunodeficiency virus infection.
44
20 105

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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