Mohsin Y. Lone
- Materials Chemistry
- Organic Chemistry top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Co-authors
- Prakash C. JhaMohd AtharAnu ManhasIti GuptaShigeki MoriVijay M. KhedkarNisha K. ShahVivek Kumar Gupta
- Topics
- Computational Drug Discovery Methods (11 papers)Molecular Sensors and Ion Detection (6 papers)Luminescence and Fluorescent Materials (5 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Theoretical BiologyDalton Transactions
- Partner nations
- IndiaJapanSouth Africa
In The Last Decade
Mohsin Y. Lone
35 papers receiving 486 citations
Peers
Comparison fields: 5 of 72
- Materials Chemistry 211
- Organic Chemistry 156
- Molecular Biology 125
- Computational Theory and Mathematics 124
- Spectroscopy 73
Countries citing papers authored by Mohsin Y. Lone
This map shows the geographic impact of Mohsin Y. Lone'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 Mohsin Y. Lone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsin Y. Lone more than expected).
Fields of papers citing papers by Mohsin Y. Lone
This network shows the impact of papers produced by Mohsin Y. Lone. 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 Mohsin Y. Lone. The network helps show where Mohsin Y. Lone may publish in the future.
Co-authorship network of co-authors of Mohsin Y. Lone
This figure shows the co-authorship network connecting the top 25 collaborators of Mohsin Y. Lone. A scholar is included among the top collaborators of Mohsin Y. Lone 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 Mohsin Y. Lone. Mohsin Y. Lone 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 | 4 | |
| 3 | In vitro and In silico Evaluation of Structurally Diverse Benzyl-pyrrolidine-3-ol Analogues as Apoptotic Agents via Caspase Activation. | 1 |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 18 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 13 | |
| 16 | 20 | |
| 17 | 18 | |
| 18 | 32 | |
| 19 | 45 | |
| 20 | 41 |
About Mohsin Y. Lone
Mohsin Y. Lone is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Spectroscopy, having authored 35 papers that have together received 500 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Molecular Sensors and Ion Detection (6 papers) and Luminescence and Fluorescent Materials (5 papers). The work is most often cited by research in Computational Theory and Mathematics (124 citations), Metals and Alloys (19 citations) and Organic Chemistry (156 citations). Mohsin Y. Lone has collaborated with scholars based in India, Japan and South Africa. Frequent co-authors include Prakash C. Jha, Mohd Athar, Anu Manhas, Iti Gupta, Shigeki Mori, Vijay M. Khedkar, Nisha K. Shah, Vivek Kumar Gupta, Akella Sivaramakrishna and Dhaval Patel. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Theoretical Biology and Dalton Transactions.
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.