Kabiruddin Khan

661 total citations
15 papers, 435 citations indexed

About

Kabiruddin Khan is a scholar working on Computational Theory and Mathematics, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kabiruddin Khan has authored 15 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 7 papers in Pollution and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kabiruddin Khan's work include Computational Drug Discovery Methods (14 papers), Environmental Toxicology and Ecotoxicology (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). Kabiruddin Khan is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Environmental Toxicology and Ecotoxicology (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). Kabiruddin Khan collaborates with scholars based in India, Italy and Poland. Kabiruddin Khan's co-authors include Kunal Roy, Emilio Benfenati, Anna Lombardo, Diego Baderna, Supratik Kar, Marco Marzo, Giovanna J. Lavado, Claudia Cappelli, Cosimo Toma and Hans Sanderson and has published in prestigious journals such as Journal of Hazardous Materials, Chemosphere and Green Chemistry.

In The Last Decade

Kabiruddin Khan

14 papers receiving 433 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kabiruddin Khan India 11 276 176 97 84 60 15 435
Arkaprava Banerjee India 15 430 1.6× 105 0.6× 53 0.5× 129 1.5× 64 1.1× 32 659
Michael Comber United Kingdom 8 184 0.7× 191 1.1× 115 1.2× 65 0.8× 63 1.1× 10 544
Giovanna J. Lavado Italy 9 224 0.8× 101 0.6× 47 0.5× 80 1.0× 52 0.9× 17 375
Wei C. Qin China 11 126 0.5× 176 1.0× 114 1.2× 57 0.7× 24 0.4× 21 378
Martin Müller Germany 14 133 0.5× 162 0.9× 147 1.5× 56 0.7× 41 0.7× 24 425
Claudia Cappelli Italy 12 122 0.4× 126 0.7× 80 0.8× 34 0.4× 28 0.5× 14 325
Worth Andrew 15 152 0.6× 183 1.0× 67 0.7× 58 0.7× 62 1.0× 36 449
Andrea Gissi Italy 12 189 0.7× 95 0.5× 36 0.4× 49 0.6× 42 0.7× 13 326
Giuseppa Raitano Italy 13 251 0.9× 109 0.6× 54 0.6× 120 1.4× 34 0.6× 27 437
Elton Zvinavashe Netherlands 8 170 0.6× 139 0.8× 42 0.4× 48 0.6× 37 0.6× 8 318

Countries citing papers authored by Kabiruddin Khan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kabiruddin Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Kabiruddin Khan. A scholar is included among the top collaborators of Kabiruddin Khan 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 Kabiruddin Khan. Kabiruddin Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Khan, Kabiruddin, et al.. (2025). Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modeling. Ecotoxicology and Environmental Safety. 291. 117824–117824. 5 indexed citations
2.
Khan, Kabiruddin, et al.. (2025). Metal bioaccumulation prediction via QSPR-q-RASPR synergy and cross-species risk analysis. Green Chemistry. 27(32). 9679–9695.
3.
Khan, Kabiruddin, Pernille Høgh Danielsen, Keld Alstrup Jensen, et al.. (2025). Dynamic QSAR modeling for predicting in vivo genotoxicity and inflammation induced by nanoparticles and advanced materials: a time-dose-property/response approach. Journal of Nanobiotechnology. 23(1). 420–420. 7 indexed citations
4.
Khan, Kabiruddin, et al.. (2024). Elucidation of molecular mechanisms involved in tadpole toxicity employing QSTR and q-RASAR approach. Aquatic Toxicology. 277. 107136–107136. 4 indexed citations
5.
Khan, Kabiruddin, Supratik Kar, & Kunal Roy. (2023). Are we ready to combat the ecotoxicity of COVID-19 pharmaceuticals? An in silico aquatic risk assessment. Aquatic Toxicology. 256. 106416–106416. 10 indexed citations
6.
Khan, Kabiruddin, et al.. (2022). Intelligent consensus predictions of bioconcentration factor of pharmaceuticals using 2D and fragment-based descriptors. Environment International. 170. 107625–107625. 20 indexed citations
8.
Khan, Kabiruddin, et al.. (2020). Application of QSARs in identification of mutagenicity mechanisms of nitro and amino aromatic compounds against Salmonella typhimurium species. Toxicology in Vitro. 65. 104768–104768. 13 indexed citations
9.
Khan, Kabiruddin, Giovanna J. Lavado, Diego Baderna, et al.. (2019). QSAR modeling of Daphnia magna and fish toxicities of biocides using 2D descriptors. Chemosphere. 229. 8–17. 77 indexed citations
10.
Khan, Kabiruddin, Kunal Roy, & Emilio Benfenati. (2019). Ecotoxicological QSAR modeling of endocrine disruptor chemicals. Journal of Hazardous Materials. 369. 707–718. 66 indexed citations
11.
Khan, Kabiruddin, Diego Baderna, Claudia Cappelli, et al.. (2019). Ecotoxicological QSAR modeling of organic compounds against fish: Application of fragment based descriptors in feature analysis. Aquatic Toxicology. 212. 162–174. 42 indexed citations
12.
Khan, Kabiruddin & Kunal Roy. (2019). Ecotoxicological QSAR modelling of organic chemicals against Pseudokirchneriella subcapitata using consensus predictions approach. SAR and QSAR in environmental research. 30(9). 665–681. 26 indexed citations
13.
Khan, Kabiruddin, Supratik Kar, Hans Sanderson, Kunal Roy, & Jerzy Leszczyński. (2018). Ecotoxicological Modeling, Ranking and Prioritization of Pharmaceuticals Using QSTR and i‐QSTTR Approaches: Application of 2D and Fragment Based Descriptors. Molecular Informatics. 38(8-9). e1800078–e1800078. 19 indexed citations
14.
Khan, Kabiruddin, Emilio Benfenati, & Kunal Roy. (2018). Consensus QSAR modeling of toxicity of pharmaceuticals to different aquatic organisms: Ranking and prioritization of the DrugBank database compounds. Ecotoxicology and Environmental Safety. 168. 287–297. 99 indexed citations
15.
Khan, Kabiruddin & Kunal Roy. (2017). Ecotoxicological modelling of cosmetics for aquatic organisms: A QSTR approach. SAR and QSAR in environmental research. 28(7). 567–594. 28 indexed citations

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.

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