Kamel Mansouri

6.5k total citations · 4 hit papers
52 papers, 4.0k citations indexed

About

Kamel Mansouri is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Small Animals. According to data from OpenAlex, Kamel Mansouri has authored 52 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Theory and Mathematics, 21 papers in Health, Toxicology and Mutagenesis and 12 papers in Small Animals. Recurrent topics in Kamel Mansouri's work include Computational Drug Discovery Methods (33 papers), Effects and risks of endocrine disrupting chemicals (18 papers) and Animal testing and alternatives (12 papers). Kamel Mansouri is often cited by papers focused on Computational Drug Discovery Methods (33 papers), Effects and risks of endocrine disrupting chemicals (18 papers) and Animal testing and alternatives (12 papers). Kamel Mansouri collaborates with scholars based in United States, Italy and France. Kamel Mansouri's co-authors include Antony Williams, Richard Judson, Chris Grulke, Ann M. Richard, Viviana Consonni, Roberto Todeschini, Grace Patlewicz, Andrew D. McEachran, John F. Wambaugh and Davide Ballabio and has published in prestigious journals such as Nucleic Acids Research, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Kamel Mansouri

49 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The CompTox Chemistry Dashboard: a community data resource for environmental chemistry

2017 789 citations Antony Williams, Chris Grulke et al. Journal of Cheminformatics profile →
ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology

2016 480 citations Ann M. Richard, Richard Judson et al. profile →
Comparison of Different Approaches to Define the Applicability Domain of QSAR Models

2012 424 citations Kamel Mansouri, Davide Ballabio et al. profile →
OPERA models for predicting physicochemical properties and environmental fate endpoints

2018 419 citations Kamel Mansouri, Chris Grulke et al. Journal of Cheminformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamel Mansouri United States	25	1.7k	1.5k	1.1k	492	485	52	4.0k
Chris Grulke United States	26	1.0k 0.6×	1.7k 1.2×	948 0.9×	507 1.0×	387 0.8×	43	3.6k
Joanna Jaworska Poland	30	2.0k 1.2×	990 0.7×	1.0k 0.9×	577 1.2×	518 1.1×	76	4.7k
Judith C. Madden United Kingdom	32	1.2k 0.7×	740 0.5×	627 0.6×	373 0.8×	442 0.9×	104	3.0k
Chihae Yang United States	25	1.9k 1.1×	653 0.4×	1.2k 1.0×	168 0.3×	400 0.8×	71	3.4k
Ruili Huang United States	48	2.6k 1.5×	1.3k 0.8×	3.3k 2.9×	345 0.7×	713 1.5×	219	8.0k
Ovanes Mekenyan Bulgaria	39	2.2k 1.3×	1.6k 1.1×	702 0.6×	860 1.7×	472 1.0×	173	4.6k
Matthew T. Martin United States	41	2.2k 1.3×	3.3k 2.2×	1.8k 1.6×	797 1.6×	1.4k 2.9×	67	6.7k
Romualdo Benigni Italy	37	2.9k 1.7×	950 0.6×	1.6k 1.5×	271 0.6×	363 0.7×	148	5.5k
Grace Patlewicz United States	46	2.5k 1.5×	2.4k 1.6×	1.2k 1.1×	527 1.1×	1.7k 3.6×	172	7.7k
John F. Wambaugh United States	41	1.4k 0.8×	3.5k 2.3×	1.1k 1.0×	678 1.4×	1.2k 2.4×	113	6.3k

Countries citing papers authored by Kamel Mansouri

Since Specialization

Citations

This map shows the geographic impact of Kamel Mansouri'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 Kamel Mansouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel Mansouri more than expected).

Fields of papers citing papers by Kamel Mansouri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamel Mansouri. 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 Kamel Mansouri. The network helps show where Kamel Mansouri may publish in the future.

Co-authorship network of co-authors of Kamel Mansouri

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mengeling, Brenda J., Martyn T. Smith, Nicole Kleinstreuer, et al.. (2025). An in silico to in vivo approach identifies retinoid-X receptor activating tert-butylphenols used in food contact materials. Scientific Reports. 15(1). 26102–26102.

Willett, Catherine, Giorgia Pallocca, Annamaria Carusi, et al.. (2025). The Decision Tree approach as a strategy for the global phase out of animal testing for acute and local toxicity for chemicals: recommendations from an expert workshop. Regulatory Toxicology and Pharmacology. 164. 105969–105969.

Moreira‐Filho, José Teófilo, et al.. (2024). Democratizing cheminformatics: interpretable chemical grouping using an automated KNIME workflow. Journal of Cheminformatics. 16(1). 101–101. 7 indexed citations

Mansouri, Kamel, et al.. (2024). Evaluation of in silico model predictions for mammalian acute oral toxicity and regulatory application in pesticide hazard and risk assessment. Regulatory Toxicology and Pharmacology. 149. 105614–105614. 5 indexed citations

Chang, Xiaoqing, Jessica Palmer, Annie Lumen, et al.. (2022). Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues. Birth Defects Research. 114(16). 1037–1055. 14 indexed citations

Karmaus, Agnes L., Kamel Mansouri, Bevin E. Blake, et al.. (2022). Evaluation of Variability Across Rat Acute Oral Systemic Toxicity Studies. Toxicological Sciences. 188(1). 34–47. 36 indexed citations

Borrel, Alexandre, Ruili Huang, Srilatha Sakamuru, et al.. (2020). High-Throughput Screening to Predict Chemical-Assay Interference. Scientific Reports. 10(1). 3986–3986. 33 indexed citations

Mansouri, Kamel, Neal F. Cariello, Alexandru Korotcov, et al.. (2019). Open-source QSAR models for pKa prediction using multiple machine learning approaches. Journal of Cheminformatics. 11(1). 60–60. 119 indexed citations

Mansouri, Kamel, Katherine A. Phillips, Chris Grulke, et al.. (2018). Rapid experimental measurements of physicochemical properties to inform models and testing. The Science of The Total Environment. 636. 901–909. 16 indexed citations

10.

McEachran, Andrew D., Kamel Mansouri, Chris Grulke, et al.. (2018). “MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies. Journal of Cheminformatics. 10(1). 45–45. 58 indexed citations

11.

McMullen, Patrick D., Melvin E. Andersen, Harvey J. Clewell, et al.. (2018). Evaluating opportunities for advancing the use of alternative methods in risk assessment through the development of fit-for-purpose in vitro assays. Toxicology in Vitro. 48. 310–317. 26 indexed citations

12.

Haider, Saad, Michael B. Black, Briana Foley, et al.. (2018). A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation. Frontiers in Pharmacology. 9. 1072–1072. 7 indexed citations

13.

Wetmore, Barbara A., Rebecca A. Clewell, Salil N. Pendse, et al.. (2018). Assessing bioactivity-exposure profiles of fruit and vegetable extracts in the BioMAP profiling system. Toxicology in Vitro. 54. 41–57. 10 indexed citations

14.

Newton, Seth, Rebecca L. McMahen, Jon R. Sobus, et al.. (2017). Suspect screening and non-targeted analysis of drinking water using point-of-use filters. Environmental Pollution. 234. 297–306. 105 indexed citations

15.

Strope, Cory L, Kamel Mansouri, Harvey J. Clewell, et al.. (2017). High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling. The Science of The Total Environment. 615. 150–160. 19 indexed citations

16.

Truong, Lisa, Gladys Ouédraogo, Ly Pham, et al.. (2017). Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates. Archives of Toxicology. 92(2). 587–600. 9 indexed citations

17.

Williams, Antony, Chris Grulke, Jeff Edwards, et al.. (2017). The CompTox Chemistry Dashboard: a community data resource for environmental chemistry. Journal of Cheminformatics. 9(1). 61–61. 789 indexed citations breakdown →

18.

Mansouri, Kamel & Richard Judson. (2016). In Silico Study of In Vitro GPCR Assays by QSAR Modeling. Methods in molecular biology. 1425. 361–381. 12 indexed citations

19.

Mansouri, Kamel, et al.. (2013). Quantitative Structure–Activity Relationship Models for Ready Biodegradability of Chemicals. Journal of Chemical Information and Modeling. 53(4). 867–878. 153 indexed citations

20.

Mansouri, Kamel, Viviana Consonni, Mojca Fašmon Durjava, et al.. (2012). Assessing bioaccumulation of polybrominated diphenyl ethers for aquatic species by QSAR modeling. Chemosphere. 89(4). 433–444. 32 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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