Mohsin Y. Lone
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- Computational Drug Discovery Methods 11
- Organic Chemistry top 10%
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- Luminescence and Fluorescent Materials 5
- Porphyrin and Phthalocyanine Chemistry 4
- Spectroscopy top 10%
- Molecular Sensors and Ion Detection 6
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- Tuberculosis Research and Epidemiology 3
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- Concrete Corrosion and Durability 3
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- Metal complexes synthesis and properties 3
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- vaccines and immunoinformatics approaches 3
- Co-authors
- Prakash C. JhaMohd AtharAnu ManhasIti GuptaShigeki MoriVijay M. KhedkarNisha K. ShahVivek Kumar Gupta
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Journal of Theoretical Biology (1 paper)Dalton Transactions (2 papers)
- Partner nations
- IndiaJapanSouth Africa
In The Last Decade
Mohsin Y. Lone
35 papers receiving 486 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 124
- Metals and Alloys 19
- Organic Chemistry 156
- Materials Chemistry 211
- 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
The 25 scholars most cited alongside Mohsin Y. Lone, 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 | 2022 | 1 | |
| 2 | 2021 | 4 | |
| 3 | In vitro and In silico Evaluation of Structurally Diverse Benzyl-pyrrolidine-3-ol Analogues as Apoptotic Agents via Caspase Activation. | 2021 | 1 |
| 4 | 2020 | 4 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2017 | 10 | |
| 13 | 2017 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 20 | |
| 17 | 2017 | 18 | |
| 18 | 2016 | 32 | |
| 19 | 2015 | 45 | |
| 20 | 2015 | 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), Luminescence and Fluorescent Materials (5 papers), Porphyrin and Phthalocyanine Chemistry (4 papers), Tuberculosis Research and Epidemiology (3 papers), Concrete Corrosion and Durability (3 papers), Metal complexes synthesis and properties (3 papers) and vaccines and immunoinformatics approaches (3 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.