Rohit Bavi
Impact in
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- Computational Drug Discovery Methods
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- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 5
- DNA and Nucleic Acid Chemistry 4
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
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- Computational Drug Discovery Methods 5
- Co-authors
- Md Aquib (6 shared papers)Muhammad Asim Farooq (5 shared papers)Keun Woo Lee (10 shared papers)Raj Kumar (10 shared papers)Kofi Oti Boakye‐Yiadom (2 shared papers)Bo Wang (2 shared papers)Kailas D. Sonawane (6 shared papers)Mensura Sied Filli (2 shared papers)
- Journals
- Cell Biochemistry and Biophysics (3 papers)Journal of Biomolecular Structure and Dynamics (2 papers)Environmental Chemistry Letters (2 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- IndiaSouth KoreaChina
In The Last Decade
Rohit Bavi
26 papers receiving 720 citations
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 83
- Materials Chemistry 241
- Molecular Biology 321
- Pharmacology 37
- Biomaterials 57
Countries citing papers authored by Rohit Bavi
This map shows the geographic impact of Rohit Bavi'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 Rohit Bavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Bavi more than expected).
Fields of papers citing papers by Rohit Bavi
This network shows the impact of papers produced by Rohit Bavi. 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 Rohit Bavi. The network helps show where Rohit Bavi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rohit Bavi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 240 | |
| 2 | 2018 | 55 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 36 | |
| 5 | 2019 | 31 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 29 | |
| 8 | 2017 | 29 | |
| 9 | 2022 | 25 | |
| 10 | 2011 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2013 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2014 | 14 | |
| 17 | 2016 | 13 | |
| 18 | 2018 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2014 | 11 |
About Rohit Bavi
Rohit Bavi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Biomedical Engineering and Organic Chemistry, having authored 28 papers that have together received 727 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Computational Drug Discovery Methods (5 papers), RNA modifications and cancer (5 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Computational Theory and Mathematics (83 citations), Materials Chemistry (241 citations), Molecular Biology (321 citations), Pharmacology (37 citations) and Biomaterials (57 citations). Rohit Bavi has collaborated with scholars based in India, South Korea and China. Frequent co-authors include Md Aquib, Muhammad Asim Farooq, Keun Woo Lee, Raj Kumar, Kofi Oti Boakye‐Yiadom, Bo Wang, Kailas D. Sonawane, Mensura Sied Filli, Faisal Raza and Yaw Opoku‐Damoah. Their work appears in journals such as Cell Biochemistry and Biophysics, Journal of Biomolecular Structure and Dynamics, Environmental Chemistry Letters, Scientific Reports and Biochemical and Biophysical Research Communications.
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.