Gyan Modi
Impact in
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 21
- Cholinesterase and Neurodegenerative Diseases 21
-
- Computational Drug Discovery Methods 15
- Co-authors
- Sushil Kumar SinghSaroj KumarYash Pal SinghAloke K. DuttaDevendra KumarAnkit GaneshpurkarFredrik NikolajeffPrahalad Singh Bharti
- Journals
- European Journal of Medicinal Chemistry (7 papers)Molecular Diversity (4 papers)ACS Chemical Neuroscience (4 papers)Journal of Medicinal Chemistry (3 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Gyan Modi
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Pharmacology 381
- Computational Theory and Mathematics 288
- Complementary and alternative medicine 116
- Biological Psychiatry 29
- Physiology 283
Countries citing papers authored by Gyan Modi
This map shows the geographic impact of Gyan Modi'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 Gyan Modi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyan Modi more than expected).
Fields of papers citing papers by Gyan Modi
This network shows the impact of papers produced by Gyan Modi. 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 Gyan Modi. The network helps show where Gyan Modi may publish in the future.
Co-authors
The 25 scholars most cited alongside Gyan Modi, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 35 | |
| 14 | 2022 | 55 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 48 | |
| 17 | 2018 | 129 | |
| 18 | 2018 | 56 | |
| 19 | 2018 | 72 | |
| 20 | 2015 | 27 |
About Gyan Modi
Gyan Modi is a scholar working on Pharmacology, Computational Theory and Mathematics, Biological Psychiatry, Complementary and alternative medicine and Physiology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (21 papers), Computational Drug Discovery Methods (15 papers), Alzheimer's disease research and treatments (10 papers), Extracellular vesicles in disease (9 papers), Medicinal Plants and Neuroprotection (5 papers), RNA regulation and disease (4 papers), Receptor Mechanisms and Signaling (4 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Pharmacology (381 citations), Computational Theory and Mathematics (288 citations), Complementary and alternative medicine (116 citations), Biological Psychiatry (29 citations) and Physiology (283 citations). Gyan Modi has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Sushil Kumar Singh, Saroj Kumar, Yash Pal Singh, Aloke K. Dutta, Devendra Kumar, Ankit Ganeshpurkar, Fredrik Nikolajeff, Prahalad Singh Bharti, Vaibhav Sharma and Komal Rani. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecular Diversity, ACS Chemical Neuroscience, Journal of Medicinal Chemistry and Scientific Reports.
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.