Dharshini Gopal
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- MicroRNA in disease regulation
Papers in
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- Computational Drug Discovery Methods 8
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- Synthesis and biological activity 4
- Co-authors
- Shweta Chakrabarti (7 shared papers)Nirmal Mazumder (6 shared papers)Soumyabrata Banik (3 shared papers)Sinosh Skariyachan (9 shared papers)Akshay Uttarkar (7 shared papers)Vidya Niranjan (7 shared papers)Sindhoora Kaniyala Melanthota (3 shared papers)Raghu Radhakrishnan (1 shared paper)
In The Last Decade
Dharshini Gopal
14 papers receiving 378 citations
Peers
Comparison fields: 5 of 88
- Biophysics 40
- Cancer Research 64
- Computational Theory and Mathematics 68
- Structural Biology 5
- Molecular Biology 199
Countries citing papers authored by Dharshini Gopal
This map shows the geographic impact of Dharshini Gopal'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 Dharshini Gopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharshini Gopal more than expected).
Fields of papers citing papers by Dharshini Gopal
This network shows the impact of papers produced by Dharshini Gopal. 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 Dharshini Gopal. The network helps show where Dharshini Gopal may publish in the future.
Co-authors
The 25 scholars most cited alongside Dharshini Gopal, 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 | 2021 | 158 | |
| 2 | 2022 | 50 | |
| 3 | 2020 | 39 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 |
About Dharshini Gopal
Dharshini Gopal is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Biomedical Engineering and Infectious Diseases, having authored 16 papers that have together received 391 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Nanoparticles: synthesis and applications (2 papers), Antibiotic Resistance in Bacteria (2 papers), thermodynamics and calorimetric analyses (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Biophysics (40 citations), Cancer Research (64 citations), Computational Theory and Mathematics (68 citations), Structural Biology (5 citations) and Molecular Biology (199 citations). Dharshini Gopal has collaborated with scholars based in India, France and Germany. Frequent co-authors include Shweta Chakrabarti, Nirmal Mazumder, Soumyabrata Banik, Sinosh Skariyachan, Akshay Uttarkar, Vidya Niranjan, Sindhoora Kaniyala Melanthota, Raghu Radhakrishnan, Shama Prasada Kabekkodu and Аndrey А. Boyko. Their work appears in journals such as Computers in Biology and Medicine, Infection Genetics and Evolution, Journal of Biomolecular Structure and Dynamics, Microscopy Research and Technique and Pharmaceutics.
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.