Divya Teli
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
- Pharmacology and Obesity Treatment
Papers in
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- Computational Drug Discovery Methods 9
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- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Mahesh T. Chhabria (4 shared papers)Vivek P. Chavda (9 shared papers)Mamta B. Shah (2 shared papers)Vasso Apostolopoulos (3 shared papers)Joanna Bojarska (3 shared papers)Pankti C. Balar (7 shared papers)Mange Ram Yadav (5 shared papers)Anuradha Gajjar (1 shared paper)
- Journals
- Molecules (3 papers)International Journal of Biological Macromolecules (2 papers)ACS Chemical Neuroscience (1 paper)Molecular Diversity (1 paper)Bioorganic Chemistry (1 paper)
- Partner nations
- IndiaAustraliaUnited Kingdom
In The Last Decade
Divya Teli
19 papers receiving 507 citations
Divya Teli's Hit Papers
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 184
- Pharmacology 111
- Endocrinology, Diabetes and Metabolism 85
- Complementary and alternative medicine 39
- Infectious Diseases 83
Countries citing papers authored by Divya Teli
This map shows the geographic impact of Divya Teli'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 Teli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Teli more than expected).
Fields of papers citing papers by Divya Teli
This network shows the impact of papers produced by Divya Teli. 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 Teli. The network helps show where Divya Teli may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Teli, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tirzepatide, a New Era of Dual-Targeted Treatment for Diabetes and Obesity: A Mini-Review Hit paper breakdown → | 2022 | 127 |
| 2 | 2021 | 105 | |
| 3 | 2020 | 52 | |
| 4 | 2020 | 35 | |
| 5 | 2023 | 29 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 22 | |
| 9 | 2024 | 20 | |
| 10 | 2023 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 0 |
About Divya Teli
Divya Teli is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Molecular Biology, Organic Chemistry and Pharmacology, having authored 21 papers that have together received 514 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Synthesis and biological activity (4 papers), Bee Products Chemical Analysis (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Curcumin's Biomedical Applications (2 papers), Essential Oils and Antimicrobial Activity (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Pharmacology (111 citations), Endocrinology, Diabetes and Metabolism (85 citations), Complementary and alternative medicine (39 citations) and Infectious Diseases (83 citations). Divya Teli has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include Mahesh T. Chhabria, Vivek P. Chavda, Mamta B. Shah, Vasso Apostolopoulos, Joanna Bojarska, Pankti C. Balar, Mange Ram Yadav, Anuradha Gajjar, Ashish M. Kanhed and Dushyant V. Patel. Their work appears in journals such as Molecules, International Journal of Biological Macromolecules, ACS Chemical Neuroscience, Molecular Diversity and Bioorganic Chemistry.
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.