R M Ruprecht

1.4k total citations · 1 hit paper
7 papers, 986 citations indexed

About

R M Ruprecht is a scholar working on Infectious Diseases, Virology and Immunology. According to data from OpenAlex, R M Ruprecht has authored 7 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Virology and 3 papers in Immunology. Recurrent topics in R M Ruprecht's work include HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and Herpesvirus Infections and Treatments (2 papers). R M Ruprecht is often cited by papers focused on HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and Herpesvirus Infections and Treatments (2 papers). R M Ruprecht collaborates with scholars based in United States. R M Ruprecht's co-authors include Timothy W. Baba, Terri H. Finkel, Mark F. Cotton, Colin R. F. Monks, Gareth Tudor‐Williams, Nirmal K. Banda, Tyler J. Curiel, Abraham Kupfer, Miroslawa Bilska and David C. Montefiori and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and Journal of Virology.

In The Last Decade

R M Ruprecht

7 papers receiving 955 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Apoptosis occurs predominantly in bystander cells and not in productively infected cells of HIV- and SIV-infected lymph nodes

1995 766 citations Terri H. Finkel, Gareth Tudor‐Williams et al. Nature Medicine profile →

Peers

R M Ruprecht

VIROL

IMMUN

ID

EPIDE

MB

Marie-Anne Rey-Cuillé France

A.G. Laurent-Crawford France

Silvia Broersen Netherlands

Natalia Kozyr United States

Eva Maria Fenyö Sweden

S M Schnittman United States

Eva-Maria Fenyö Sweden

Raphaëlle El Habib France

S Benn United States

F Massari United States

Marie-Anne Rey-Cuillé France

R M Ruprecht

650 ×0.8

VIROL

427 ×0.8

IMMUN

330 ×1.1

ID

306 ×1.1

EPIDE

160 ×1.0

MB

Citations per year, relative to R M Ruprecht R M Ruprecht (= 1×) peers Marie-Anne Rey-Cuillé

Countries citing papers authored by R M Ruprecht

Since Specialization

Citations

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

Fields of papers citing papers by R M Ruprecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R M Ruprecht

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

All Works

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7 of 7 papers shown

1.

Ruprecht, R M. (1999). Live attenuated AIDS viruses as vaccines: promise or peril?. Immunological Reviews. 170(1). 135–149. 60 indexed citations

2.

Montefiori, David C., et al.. (1996). Neutralizing and infection-enhancing antibody responses do not correlate with the differential pathogenicity of SIVmac239δ3 in adult and infant rhesus monkeys. The Journal of Immunology. 157(12). 5528–5535. 65 indexed citations

3.

Finkel, Terri H., Gareth Tudor‐Williams, Nirmal K. Banda, et al.. (1995). Apoptosis occurs predominantly in bystander cells and not in productively infected cells of HIV- and SIV-infected lymph nodes. Nature Medicine. 1(2). 129–134. 766 indexed citations breakdown →

4.

Fazely, F, et al.. (1993). Simian immunodeficiency virus infection via amniotic fluid: a model to study fetal immunopathogenesis and prophylaxis.. PubMed. 6(2). 107–14. 35 indexed citations

5.

Ruprecht, R M, Kyoichi A. Watanabe, Jonathan Gold, et al.. (1991). Synergistic inhibition of human immunodeficiency virus type 1 replication in vitro by two-drug and three-drug combinations of 3'-azido-3'-deoxythymidine, phosphonoformate, and 2',3'-dideoxythymidine. Antimicrobial Agents and Chemotherapy. 35(10). 2003–2011. 34 indexed citations

6.

Mildvan, Donna, R M Ruprecht, Susan E. Krown, & Carla Pettinelli. (1990). Methodological issues in AIDS clinical trials. Application of the combination index method in the design of a clinical antiretroviral trial: ACTG 068.. PubMed. 3 Suppl 2. S111–3 discussion S114. 1 indexed citations

7.

Sharpe, Arlene H., John Hunter, R M Ruprecht, & Rudolf Jaenisch. (1989). Maternal transmission of retroviral disease and strategies for preventing infection of the neonate. Journal of Virology. 63(3). 1049–1053. 25 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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