Roy D. Dar
Impact in
- Virology top 2%
- HIV Research and Treatment
- Biophysics top 2%
Papers in
-
- Gene Regulatory Network Analysis 17
- Single-cell and spatial transcriptomics 8
- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 5
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Virology 7
- HIV Research and Treatment 7
- Co-authors
- Leor S. Weinberger (9 shared papers)Michael L. Simpson (13 shared papers)Chris D. Cox (8 shared papers)James M. McCollum (6 shared papers)Brandon S. Razooky (5 shared papers)Abhyudai Singh (4 shared papers)Michael S. Allen (5 shared papers)Robert F. Siliciano (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)APL Bioengineering (3 papers)iScience (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)Cell (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Roy D. Dar
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Virology 349
- Biophysics 119
- Molecular Biology 1.3k
- Immunology 209
- Genetics 281
Countries citing papers authored by Roy D. Dar
This map shows the geographic impact of Roy D. Dar'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 Roy D. Dar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy D. Dar more than expected).
Fields of papers citing papers by Roy D. Dar
This network shows the impact of papers produced by Roy D. Dar. 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 Roy D. Dar. The network helps show where Roy D. Dar may publish in the future.
Co-authors
The 25 scholars most cited alongside Roy D. Dar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 356 | |
| 2 | 2006 | 224 | |
| 3 | 2013 | 185 | |
| 4 | 2008 | 159 | |
| 5 | 2014 | 157 | |
| 6 | 2012 | 68 | |
| 7 | 2018 | 60 | |
| 8 | 2008 | 49 | |
| 9 | 2009 | 47 | |
| 10 | 2012 | 42 | |
| 11 | 2006 | 42 | |
| 12 | 2016 | 42 | |
| 13 | 2022 | 27 | |
| 14 | 2015 | 25 | |
| 15 | 2021 | 18 | |
| 16 | 2010 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2024 | 11 |
About Roy D. Dar
Roy D. Dar is a scholar working on Molecular Biology, Virology, Immunology, Genetics and Biophysics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (17 papers), Single-cell and spatial transcriptomics (8 papers), HIV Research and Treatment (7 papers), Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (5 papers), Evolution and Genetic Dynamics (4 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Virology (349 citations), Biophysics (119 citations), Molecular Biology (1.3k citations), Immunology (209 citations) and Genetics (281 citations). Roy D. Dar has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Leor S. Weinberger, Michael L. Simpson, Chris D. Cox, James M. McCollum, Brandon S. Razooky, Abhyudai Singh, Michael S. Allen, Robert F. Siliciano, Derek Austin and Nina N. Hosmane. Their work appears in journals such as Proceedings of the National Academy of Sciences, APL Bioengineering, iScience, Chaos An Interdisciplinary Journal of Nonlinear Science and Cell.
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.