Gyan Modi
Impact in
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 20
- Cholinesterase and Neurodegenerative Diseases 20
-
- Extracellular vesicles in disease 6
- Receptor Mechanisms and Signaling 4
- Co-authors
- Saroj Kumar (15 shared papers)Yash Pal Singh (8 shared papers)Aloke K. Dutta (7 shared papers)Devendra Kumar (3 shared papers)Ankit Ganeshpurkar (2 shared papers)Fredrik Nikolajeff (7 shared papers)Prahalad Singh Bharti (7 shared papers)Sushil Kumar Singh (3 shared papers)
- Journals
- European Journal of Medicinal Chemistry (7 papers)ACS Chemical Neuroscience (4 papers)Molecular Diversity (4 papers)Journal of Medicinal Chemistry (3 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Gyan Modi
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Pharmacology 380
- Computational Theory and Mathematics 289
- Complementary and alternative medicine 117
- Biological Psychiatry 29
- Physiology 276
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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 133 | |
| 2 | 2021 | 130 | |
| 3 | 2021 | 77 | |
| 4 | 2018 | 74 | |
| 5 | 2020 | 62 | |
| 6 | 2022 | 58 | |
| 7 | 2018 | 56 | |
| 8 | 2022 | 52 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 45 | |
| 11 | 2022 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2015 | 35 | |
| 14 | 2020 | 35 | |
| 15 | 2014 | 32 | |
| 16 | 2021 | 31 | |
| 17 | 2012 | 30 | |
| 18 | 2015 | 27 | |
| 19 | 2021 | 25 | |
| 20 | 2018 | 23 |
About Gyan Modi
Gyan Modi is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Physiology and Organic Chemistry, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (20 papers), Computational Drug Discovery Methods (14 papers), Alzheimer's disease research and treatments (8 papers), Extracellular vesicles in disease (6 papers), Medicinal Plants and Neuroprotection (4 papers), Receptor Mechanisms and Signaling (4 papers), Click Chemistry and Applications (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Pharmacology (380 citations), Computational Theory and Mathematics (289 citations), Complementary and alternative medicine (117 citations), Biological Psychiatry (29 citations) and Physiology (276 citations). Gyan Modi has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Saroj Kumar, Yash Pal Singh, Aloke K. Dutta, Devendra Kumar, Ankit Ganeshpurkar, Fredrik Nikolajeff, Prahalad Singh Bharti, Sushil Kumar Singh, Komal Rani and Vaibhav Sharma. Their work appears in journals such as European Journal of Medicinal Chemistry, ACS Chemical Neuroscience, Molecular Diversity, 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.