Jay Rappaport

8.5k total citations · 1 hit paper
144 papers, 5.6k citations indexed

About

Jay Rappaport is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Jay Rappaport has authored 144 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Virology, 55 papers in Immunology and 44 papers in Molecular Biology. Recurrent topics in Jay Rappaport's work include HIV Research and Treatment (76 papers), Immune Cell Function and Interaction (31 papers) and HIV/AIDS drug development and treatment (20 papers). Jay Rappaport is often cited by papers focused on HIV Research and Treatment (76 papers), Immune Cell Function and Interaction (31 papers) and HIV/AIDS drug development and treatment (20 papers). Jay Rappaport collaborates with scholars based in United States, France and Italy. Jay Rappaport's co-authors include Kamel Khalili, Tracy Fischer, Shohreh Amini, Flossie Wong‐Staal, Prasun K. Datta, Daniel Zagury, Houria Hendel, Jean‐François Zagury, Sidney Croul and Robert C. Gallo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Jay Rappaport

141 papers receiving 5.5k citations

Hit Papers

A smartphone-read ultrasensitive and quantitative saliva ... 2021 2026 2022 2024 2021 50 100 150

Peers

Jay Rappaport
Comparison fields: 5 of 135
  • Virology 2.6k
  • Molecular Biology 1.9k
  • Immunology 1.8k
  • Infectious Diseases 1.3k
  • Oncology 817
Replace Shohreh Amini with:
Shohreh Amini United States
Jeanne E. Bell United Kingdom
Li Wu United States
Anthony Jaworowski Australia
Pasquale Ferrante Italy
David H. McDermott United States
Hervé Fleury France
Michael Bukrinsky United States
Antonella Caputo Italy
Carine Van Lint Belgium
Shohreh Amini United States View profile →
Citations per field, relative to Jay Rappaport
Jay Rappaport · 1×
Citations per year, relative to Jay Rappaport
Jay Rappaport · 1×

Countries citing papers authored by Jay Rappaport

Since Specialization
Citations

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

Fields of papers citing papers by Jay Rappaport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Rappaport

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Rappaport. A scholar is included among the top collaborators of Jay Rappaport 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 Jay Rappaport. Jay Rappaport 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 0
2 2
3 4
4 9
5 14
6 41
7
A smartphone-read ultrasensitive and quantitative saliva test for COVID-19 breakdown →
196
8 29
9 33
10 21
11 25
12 32
13 72
14 33
15 7
16 12
17 46
18 101
19 34
20 11

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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