Marvin S. Reitz

116 total papers · 6.4k total citations
90 papers, 5.0k citations indexed

About

Marvin S. Reitz is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Marvin S. Reitz has authored 90 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 44 papers in Virology and 25 papers in Infectious Diseases. Recurrent topics in Marvin S. Reitz's work include HIV Research and Treatment (44 papers), Immune Cell Function and Interaction (25 papers) and T-cell and Retrovirus Studies (22 papers). Marvin S. Reitz is often cited by papers focused on HIV Research and Treatment (44 papers), Immune Cell Function and Interaction (25 papers) and T-cell and Retrovirus Studies (22 papers). Marvin S. Reitz collaborates with scholars based in United States, Nigeria and Italy. Marvin S. Reitz's co-authors include Robert C. Gallo, V. S. Kalyanaraman, Bernard J. Poiesz, Francis W. Ruscetti, Shibani Pati, Gary S. Hayward, Hong-Guang Guo, William Reid, John Nicholas and Michael F. Clarke and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Marvin S. Reitz

87 papers receiving 4.8k citations

Hit Papers

Human mesenchymal stem ce... 1981 2026 1996 2011 2006 1981 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marvin S. Reitz 1.8k 1.5k 1.3k 1.1k 1000 90 5.0k
Masatoshi Tateno 1.5k 0.8× 719 0.5× 1.2k 0.9× 1.0k 0.9× 413 0.4× 72 3.9k
Judith C. Gasson 3.4k 1.9× 1.2k 0.8× 2.6k 2.0× 388 0.4× 407 0.4× 78 7.4k
M S Reitz 1.7k 1.0× 967 0.7× 1.2k 0.9× 2.0k 1.8× 1.3k 1.3× 84 4.9k
Steven R. Tronick 1.2k 0.7× 1.5k 1.0× 3.7k 2.8× 600 0.6× 713 0.7× 104 6.8k
Claude Des̀granges 1.2k 0.7× 965 0.7× 1.4k 1.1× 805 0.7× 766 0.8× 155 4.3k
Suresh K. Arya 3.7k 2.1× 803 0.5× 2.1k 1.6× 4.0k 3.7× 1.2k 1.2× 80 7.3k
Donald Dowbenko 1.4k 0.8× 727 0.5× 3.1k 2.4× 516 0.5× 473 0.5× 50 5.5k
R C Gallo 2.6k 1.4× 542 0.4× 1.1k 0.8× 1.1k 1.0× 431 0.4× 54 4.3k
Jovan Pavlovic 4.7k 2.6× 1.2k 0.8× 2.3k 1.8× 465 0.4× 2.5k 2.5× 84 8.2k
Dorothea Zucker‐Franklin 1.8k 1.0× 715 0.5× 2.2k 1.7× 196 0.2× 658 0.7× 144 6.7k

Countries citing papers authored by Marvin S. Reitz

Since Specialization
Citations

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

Fields of papers citing papers by Marvin S. Reitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marvin S. Reitz. 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 Marvin S. Reitz. The network helps show where Marvin S. Reitz may publish in the future.

Co-authorship network of co-authors of Marvin S. Reitz

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

All Works

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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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