Kabiruddin 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 14
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- Environmental Toxicology and Ecotoxicology 7
- Co-authors
- Kunal Roy (11 shared papers)Emilio Benfenati (5 shared papers)Anna Lombardo (3 shared papers)Diego Baderna (2 shared papers)Pathan Mohsin Khan (1 shared paper)Giovanna J. Lavado (1 shared paper)Marco Marzo (1 shared paper)Supratik Kar (3 shared papers)
In The Last Decade
Kabiruddin Khan
15 papers receiving 462 citations
Peers
Comparison fields: 5 of 71
- Computational Theory and Mathematics 277
- Health, Toxicology and Mutagenesis 188
- Pollution 107
- Industrial and Manufacturing Engineering 47
- Analytical Chemistry 53
Countries citing papers authored by Kabiruddin Khan
This map shows the geographic impact of Kabiruddin 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 Kabiruddin Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kabiruddin Khan more than expected).
Fields of papers citing papers by Kabiruddin Khan
This network shows the impact of papers produced by Kabiruddin 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 Kabiruddin Khan. The network helps show where Kabiruddin Khan may publish in the future.
Co-authors
The 22 scholars most cited alongside Kabiruddin 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 | 106 | |
| 2 | 2019 | 80 | |
| 3 | 2019 | 68 | |
| 4 | 2019 | 44 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2025 | 10 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Kabiruddin Khan
Kabiruddin Khan is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Pollution, Molecular Biology and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Environmental Toxicology and Ecotoxicology (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Water Quality Monitoring and Analysis (3 papers), Chemistry and Chemical Engineering (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Pesticide and Herbicide Environmental Studies (1 paper) and Microplastics and Plastic Pollution (1 paper). The work is most often cited by research in Computational Theory and Mathematics (277 citations), Health, Toxicology and Mutagenesis (188 citations), Pollution (107 citations), Industrial and Manufacturing Engineering (47 citations) and Analytical Chemistry (53 citations). Kabiruddin Khan has collaborated with scholars based in India, Italy and Poland. Frequent co-authors include Kunal Roy, Emilio Benfenati, Anna Lombardo, Diego Baderna, Pathan Mohsin Khan, Giovanna J. Lavado, Marco Marzo, Supratik Kar, Cosimo Toma and Cláudia Cappelli. Their work appears in journals such as Aquatic Toxicology, Ecotoxicology and Environmental Safety, SAR and QSAR in environmental research, Green Chemistry and Molecular Informatics.
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.