Sudhir Agrawal
- Molecular Biology top 0.2%
- Immunology top 0.5%
- Oncology top 1%
- Infectious Diseases top 2%
- Genetics top 2%
- Co-authors
- Ekambar R. KandimallaJamal TemsamaniRuiwen ZhangQiuyan ZhaoPaul C. ZamecnikStanley T. CrookeJin TangDong Yu
- Topics
- DNA and Nucleic Acid Chemistry (127 papers)Advanced biosensing and bioanalysis techniques (88 papers)RNA Interference and Gene Delivery (85 papers)
- Cited by
- Molecular BiologyImmunologyVirology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- 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
- Oncology 2.3k
- Infectious Diseases 869
- Genetics 825
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 of co-authors of Sudhir Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Sudhir Agrawal. A scholar is included among the top collaborators of Sudhir Agrawal 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 Sudhir Agrawal. Sudhir Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | A Review on Chaotic Map Based Cryptography | 2 |
| 3 | 44 | |
| 4 | 34 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 98 | |
| 8 | 22 | |
| 9 | 7 | |
| 10 | 63 | |
| 11 | 43 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 108 | |
| 15 | 21 | |
| 16 | 24 | |
| 17 | 11 | |
| 18 | MATHEMATICAL MODEL OF RUNOFF FROM GROOVED RUNWAYS | 2 |
| 19 | MEASUREMENTS OF RUNOFF DEPTHS FROM A GROOVED LABORATORY SLAB | 1 |
| 20 | Technique for evaluating hydroplaning potential of pavements | 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) and RNA Interference and Gene Delivery (85 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.