Nirav Malani
Impact in
Papers in
-
- CRISPR and Genetic Engineering 18
- Protein Degradation and Inhibitors 5
- RNA Interference and Gene Delivery 5
- Genetics 17
- Virus-based gene therapy research 15
- Co-authors
- Frederic D. Bushman (43 shared papers)Charles C. Berry (14 shared papers)Troy Brady (10 shared papers)Keshet Ronen (7 shared papers)Shoshannah L. Roth (5 shared papers)Frances Male (8 shared papers)Katherine A. High (2 shared papers)Hojun Li (2 shared papers)
- Journals
- Retrovirology (5 papers)Nucleic Acids Research (5 papers)Proceedings of the National Academy of Sciences (4 papers)PLoS Pathogens (4 papers)Blood (3 papers)
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
Nirav Malani
46 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 87
- Virology 1.1k
- Genetics 1.3k
- Infectious Diseases 815
- Molecular Biology 2.5k
- Immunology 472
Countries citing papers authored by Nirav Malani
This map shows the geographic impact of Nirav Malani'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 Nirav Malani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav Malani more than expected).
Fields of papers citing papers by Nirav Malani
This network shows the impact of papers produced by Nirav Malani. 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 Nirav Malani. The network helps show where Nirav Malani may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirav Malani, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 413 | |
| 2 | 2009 | 343 | |
| 3 | 2011 | 235 | |
| 4 | 2010 | 219 | |
| 5 | 2010 | 191 | |
| 6 | 2011 | 177 | |
| 7 | 2013 | 157 | |
| 8 | 2013 | 152 | |
| 9 | 2013 | 131 | |
| 10 | 2009 | 121 | |
| 11 | 2010 | 121 | |
| 12 | 2009 | 121 | |
| 13 | 2014 | 101 | |
| 14 | 2010 | 94 | |
| 15 | 2013 | 94 | |
| 16 | 2009 | 89 | |
| 17 | 2014 | 73 | |
| 18 | 2016 | 70 | |
| 19 | 2014 | 68 | |
| 20 | 2014 | 59 |
About Nirav Malani
Nirav Malani is a scholar working on Molecular Biology, Genetics, Virology, Infectious Diseases and Plant Science, having authored 46 papers that have together received 3.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), HIV Research and Treatment (16 papers), Virus-based gene therapy research (15 papers), HIV/AIDS drug development and treatment (9 papers), Chromosomal and Genetic Variations (7 papers), Protein Degradation and Inhibitors (5 papers), RNA Interference and Gene Delivery (5 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Virology (1.1k citations), Genetics (1.3k citations), Infectious Diseases (815 citations), Molecular Biology (2.5k citations) and Immunology (472 citations). Nirav Malani has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Frederic D. Bushman, Charles C. Berry, Troy Brady, Keshet Ronen, Shoshannah L. Roth, Frances Male, Katherine A. High, Hojun Li, Rik Gijsbers and Gary P. Wang. Their work appears in journals such as Retrovirology, Nucleic Acids Research, Proceedings of the National Academy of Sciences, PLoS Pathogens and Blood.
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.