Ashish M. Kanhed
- Organic Chemistry top 10%
- Pharmacology top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Physiology
- Co-authors
- Mange Ram YadavRajani GiridharDushyant V. PatelDivya TeliPrashant R. MurumkarAmisha VoraKirti PatelMahesh T. Chhabria
- Topics
- Computational Drug Discovery Methods (12 papers)Cholinesterase and Neurodegenerative Diseases (9 papers)Synthesis and biological activity (8 papers)
- Journals
- RSC AdvancesEnvironmental Science and Pollution ResearchEuropean Journal of Medicinal Chemistry
- Partner nations
- IndiaSouth AfricaUnited States
In The Last Decade
Ashish M. Kanhed
35 papers receiving 471 citations
Peers
Comparison fields: 5 of 82
- Organic Chemistry 203
- Pharmacology 170
- Computational Theory and Mathematics 164
- Molecular Biology 132
- Physiology 52
Countries citing papers authored by Ashish M. Kanhed
This map shows the geographic impact of Ashish M. Kanhed'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 Ashish M. Kanhed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish M. Kanhed more than expected).
Fields of papers citing papers by Ashish M. Kanhed
This network shows the impact of papers produced by Ashish M. Kanhed. 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 Ashish M. Kanhed. The network helps show where Ashish M. Kanhed may publish in the future.
Co-authorship network of co-authors of Ashish M. Kanhed
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish M. Kanhed. A scholar is included among the top collaborators of Ashish M. Kanhed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashish M. Kanhed. Ashish M. Kanhed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 35 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 44 | |
| 16 | 11 | |
| 17 | 54 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 8 |
About Ashish M. Kanhed
Ashish M. Kanhed is a scholar working on Computational Theory and Mathematics, Pharmacology and Organic Chemistry, having authored 37 papers that have together received 475 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Synthesis and biological activity (8 papers). The work is most often cited by research in Computational Theory and Mathematics (164 citations), Pharmacology (170 citations) and Organic Chemistry (203 citations). Ashish M. Kanhed has collaborated with scholars based in India, South Africa and United States. Frequent co-authors include Mange Ram Yadav, Rajani Giridhar, Dushyant V. Patel, Divya Teli, Prashant R. Murumkar, Amisha Vora, Kirti Patel, Mahesh T. Chhabria, Sagar P. Patel and Radha Charan Dash. Their work appears in journals such as RSC Advances, Environmental Science and Pollution Research and European Journal of Medicinal 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.