Divya Gopalan
Impact in
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- Nanoparticle-Based Drug Delivery
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Nanoparticle-Based Drug Delivery 1
- Co-authors
- Srinivas Mutalik (8 shared papers)Abhijeet Pandey (4 shared papers)N Udupa (3 shared papers)Ajinkya Nitin Nikam (2 shared papers)Sanjay Kulkarni (2 shared papers)Gasper Fernandes (2 shared papers)Ajjappla Basavaraj Shreya (1 shared paper)Bharath Singh Padya (1 shared paper)
- Journals
- Journal of Controlled Release (2 papers)Toxicology and Applied Pharmacology (1 paper)Pesticide Biochemistry and Physiology (1 paper)Life Sciences (1 paper)Current Pharmaceutical Design (1 paper)
- Partner nations
- IndiaArgentinaSaudi Arabia
In The Last Decade
Divya Gopalan
9 papers receiving 313 citations
Peers
Comparison fields: 5 of 90
- Biomaterials 54
- Infectious Diseases 70
- Pharmaceutical Science 21
- Complementary and alternative medicine 15
- Biomedical Engineering 84
Countries citing papers authored by Divya Gopalan
This map shows the geographic impact of Divya Gopalan'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 Divya Gopalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Gopalan more than expected).
Fields of papers citing papers by Divya Gopalan
This network shows the impact of papers produced by Divya Gopalan. 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 Divya Gopalan. The network helps show where Divya Gopalan may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Gopalan, 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 | 2020 | 103 | |
| 2 | 2022 | 83 | |
| 3 | 2019 | 56 | |
| 4 | 2020 | 27 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 1 |
About Divya Gopalan
Divya Gopalan is a scholar working on Molecular Biology, Biomaterials, Reproductive Medicine, Biomedical Engineering and Infectious Diseases, having authored 9 papers that have together received 314 indexed citations. Recurring topics across this work include Sperm and Testicular Function (2 papers), Selenium in Biological Systems (1 paper), Alzheimer's disease research and treatments (1 paper), Chemotherapy-induced organ toxicity mitigation (1 paper), Neuropeptides and Animal Physiology (1 paper), Graphene and Nanomaterials Applications (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Biomaterials (54 citations), Infectious Diseases (70 citations), Pharmaceutical Science (21 citations), Complementary and alternative medicine (15 citations) and Biomedical Engineering (84 citations). Divya Gopalan has collaborated with scholars based in India, Argentina and Saudi Arabia. Frequent co-authors include Srinivas Mutalik, Abhijeet Pandey, N Udupa, Ajinkya Nitin Nikam, Sanjay Kulkarni, Gasper Fernandes, Ajjappla Basavaraj Shreya, Bharath Singh Padya, Sadhana P. Mutalik and Ruth Prassl. Their work appears in journals such as Journal of Controlled Release, Toxicology and Applied Pharmacology, Pesticide Biochemistry and Physiology, Life Sciences and Current Pharmaceutical Design.
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.