Sudhir Agrawal
- Molecular Biology top 0.2%
- DNA and Nucleic Acid Chemistry 127
- Advanced biosensing and bioanalysis techniques 88
- RNA Interference and Gene Delivery 85
- RNA and protein synthesis mechanisms 31
- Immunology top 0.5%
- Immune Response and Inflammation 47
- Immune Cell Function and Interaction 30
- Virology top 1%
- Oncology top 1%
- Cancer-related Molecular Pathways 26
- Microbiology top 1%
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- HIV/AIDS drug development and treatment 31
- Co-authors
- Ekambar R. KandimallaJamal TemsamaniRuiwen ZhangQiuyan ZhaoPaul C. ZamecnikStanley T. CrookeJin TangDong Yu
- Cited by
- Molecular BiologyImmunologyVirology
- Journals
- Proceedings of the National Academy of Sciences (22 papers)Journal of the American Chemical Society (1 paper)Nucleic Acids Research (12 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Sudhir Agrawal
322 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 10.2k
- Immunology 2.7k
- Virology 516
- Oncology 2.3k
- Microbiology 401
Countries citing papers authored by Sudhir Agrawal
This map shows the geographic impact of Sudhir Agrawal'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 Sudhir Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhir Agrawal more than expected).
Fields of papers citing papers by Sudhir Agrawal
This network shows the impact of papers produced by Sudhir Agrawal. 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 Sudhir Agrawal. The network helps show where Sudhir Agrawal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sudhir Agrawal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 50 | |
| 2 | A Review on Chaotic Map Based Cryptography | 2012 | 2 |
| 3 | 2011 | 44 | |
| 4 | 2010 | 34 | |
| 5 | 2009 | 9 | |
| 6 | 2009 | 25 | |
| 7 | 2001 | 98 | |
| 8 | 2000 | 22 | |
| 9 | 2000 | 7 | |
| 10 | 1998 | 63 | |
| 11 | 1997 | 43 | |
| 12 | 1996 | 18 | |
| 13 | 1995 | 7 | |
| 14 | 1995 | 108 | |
| 15 | 1994 | 21 | |
| 16 | 1992 | 24 | |
| 17 | 1989 | 11 | |
| 18 | MATHEMATICAL MODEL OF RUNOFF FROM GROOVED RUNWAYS | 1984 | 2 |
| 19 | MEASUREMENTS OF RUNOFF DEPTHS FROM A GROOVED LABORATORY SLAB | 1984 | 1 |
| 20 | Technique for evaluating hydroplaning potential of pavements | 1977 | 24 |
About Sudhir Agrawal
Sudhir Agrawal is a scholar working on Immunology, Virology and Molecular Biology, having authored 328 papers that have together received 14.3k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (127 papers), Advanced biosensing and bioanalysis techniques (88 papers), RNA Interference and Gene Delivery (85 papers), Immune Response and Inflammation (47 papers), RNA and protein synthesis mechanisms (31 papers), HIV/AIDS drug development and treatment (31 papers), Immune Cell Function and Interaction (30 papers) and Cancer-related Molecular Pathways (26 papers). The work is most often cited by research in Molecular Biology (10.2k citations), Immunology (2.7k citations) and Virology (516 citations). Sudhir Agrawal has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ekambar R. Kandimalla, Jamal Temsamani, Ruiwen Zhang, Qiuyan Zhao, Paul C. Zamecnik, Stanley T. Crooke, Jin Tang, Dong Yu, Radhakrishnan P. Iyer and Dong Soo Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.