Jyotsna Bhat
Impact in
-
- Computational Drug Discovery Methods
-
- DNA and Nucleic Acid Chemistry
- RNA Research and Splicing
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 5
- DNA and Nucleic Acid Chemistry 4
- Advanced biosensing and bioanalysis techniques 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Computational Drug Discovery Methods 3
- Co-authors
- Subhrangsu Chatterjee (10 shared papers)Tomasz Puzyn (1 shared paper)Kunal Roy (1 shared paper)Pravin Ambure (1 shared paper)M. Elizabeth Sobhia (3 shared papers)Samit Chattopadhyay (3 shared papers)Nidhi Chaudhary (2 shared papers)Abir K. Panda (2 shared papers)
- Journals
- Scientific Reports (2 papers)Expert Opinion on Therapeutic Targets (2 papers)iScience (1 paper)Molecular Diversity (1 paper)ACS Omega (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Jyotsna Bhat
16 papers receiving 315 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 62
- Molecular Biology 200
- Pharmacology 46
- Complementary and alternative medicine 22
- Cancer Research 33
Countries citing papers authored by Jyotsna Bhat
This map shows the geographic impact of Jyotsna Bhat'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 Jyotsna Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyotsna Bhat more than expected).
Fields of papers citing papers by Jyotsna Bhat
This network shows the impact of papers produced by Jyotsna Bhat. 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 Jyotsna Bhat. The network helps show where Jyotsna Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Jyotsna Bhat, 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 | 2018 | 61 | |
| 2 | 2015 | 43 | |
| 3 | 2015 | 42 | |
| 4 | 2019 | 33 | |
| 5 | 2016 | 24 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2012 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2015 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2014 | 2 |
About Jyotsna Bhat
Jyotsna Bhat is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Pharmacology, having authored 16 papers that have together received 320 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Computational Drug Discovery Methods (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Click Chemistry and Applications (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (62 citations), Molecular Biology (200 citations), Pharmacology (46 citations), Complementary and alternative medicine (22 citations) and Cancer Research (33 citations). Jyotsna Bhat has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Subhrangsu Chatterjee, Tomasz Puzyn, Kunal Roy, Pravin Ambure, M. Elizabeth Sobhia, Samit Chattopadhyay, Nidhi Chaudhary, Abir K. Panda, Gaurisankar Sa and Kiran Nakka. Their work appears in journals such as Scientific Reports, Expert Opinion on Therapeutic Targets, iScience, Molecular Diversity and ACS Omega.
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.