Pathan Mohsin Khan
Impact in
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- Computational Drug Discovery Methods
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- Environmental Toxicology and Ecotoxicology
Papers in
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- Computational Drug Discovery Methods 9
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- Analytical Chemistry and Chromatography 3
- Co-authors
- Kunal Roy (10 shared papers)Emilio Benfenati (4 shared papers)Anna Lombardo (3 shared papers)Bakhtiyor Rasulev (2 shared papers)Diego Baderna (2 shared papers)Marco Marzo (1 shared paper)Giovanna J. Lavado (1 shared paper)Kabiruddin Khan (1 shared paper)
- Journals
- Chemosphere (2 papers)Molecular Informatics (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Journal of Hazardous Materials (1 paper)Expert Opinion on Drug Discovery (1 paper)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Pathan Mohsin Khan
10 papers receiving 279 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 176
- Health, Toxicology and Mutagenesis 70
- Pollution 47
- Analytical Chemistry 24
- Environmental Chemistry 24
Countries citing papers authored by Pathan Mohsin Khan
This map shows the geographic impact of Pathan Mohsin Khan'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 Pathan Mohsin Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pathan Mohsin Khan more than expected).
Fields of papers citing papers by Pathan Mohsin Khan
This network shows the impact of papers produced by Pathan Mohsin Khan. 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 Pathan Mohsin Khan. The network helps show where Pathan Mohsin Khan may publish in the future.
Co-authors
The 10 scholars most cited alongside Pathan Mohsin Khan, 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 | 2018 | 84 | |
| 2 | 2019 | 80 | |
| 3 | 2018 | 42 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 20 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 4 | |
| 10 | 2018 | 1 |
About Pathan Mohsin Khan
Pathan Mohsin Khan is a scholar working on Computational Theory and Mathematics, Spectroscopy, Analytical Chemistry, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 281 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Spectroscopy and Chemometric Analyses (3 papers), Analytical Chemistry and Chromatography (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Chemistry and Chemical Engineering (2 papers), Pesticide and Herbicide Environmental Studies (1 paper) and Fire dynamics and safety research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (176 citations), Health, Toxicology and Mutagenesis (70 citations), Pollution (47 citations), Analytical Chemistry (24 citations) and Environmental Chemistry (24 citations). Pathan Mohsin Khan has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Kunal Roy, Emilio Benfenati, Anna Lombardo, Bakhtiyor Rasulev, Diego Baderna, Marco Marzo, Giovanna J. Lavado, Kabiruddin Khan, Hans Sanderson and Vinay Kumar. Their work appears in journals such as Chemosphere, Molecular Informatics, Combinatorial Chemistry & High Throughput Screening, Journal of Hazardous Materials and Expert Opinion on Drug Discovery.
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.