Carol A. Marchant

2.1k total citations
16 papers, 952 citations indexed

About

Carol A. Marchant is a scholar working on Computational Theory and Mathematics, Cancer Research and Molecular Biology. According to data from OpenAlex, Carol A. Marchant has authored 16 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 6 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Carol A. Marchant's work include Computational Drug Discovery Methods (9 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Analytical Chemistry and Chromatography (3 papers). Carol A. Marchant is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Analytical Chemistry and Chromatography (3 papers). Carol A. Marchant collaborates with scholars based in United Kingdom, United States and Italy. Carol A. Marchant's co-authors include Anthony D. Long, Katharine Briggs, Philip N. Judson, J. J. Langowski, Nigel Greene, Jonathan D. Vessey, Chihae Yang, Martin K. Ellis, R. Benz and William P. Watson and has published in prestigious journals such as Environmental Health Perspectives, Toxicology and Toxicology Letters.

In The Last Decade

Carol A. Marchant

15 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carol A. Marchant United Kingdom	11	585	318	174	130	125	16	952
Philip N. Judson United Kingdom	20	700 1.2×	486 1.5×	200 1.1×	178 1.4×	108 0.9×	41	1.3k
R. Benz United States	24	581 1.0×	343 1.1×	209 1.2×	110 0.8×	335 2.7×	50	1.5k
Naomi L. Kruhlak United States	25	707 1.2×	351 1.1×	310 1.8×	129 1.0×	301 2.4×	40	1.4k
J. J. Langowski United Kingdom	7	352 0.6×	221 0.7×	109 0.6×	111 0.9×	57 0.5×	8	656
Wolfgang Muster Switzerland	13	324 0.6×	220 0.7×	75 0.4×	81 0.6×	192 1.5×	26	742
Ivanka Tsakovska Bulgaria	18	411 0.7×	434 1.4×	77 0.4×	100 0.8×	100 0.8×	53	1.2k
Kevin P. Cross United States	18	343 0.6×	260 0.8×	56 0.3×	100 0.8×	147 1.2×	41	735
Alexander Amberg Germany	23	250 0.4×	518 1.6×	149 0.9×	131 1.0×	309 2.5×	38	1.4k
Edwin J. Matthews United States	23	746 1.3×	318 1.0×	253 1.5×	136 1.0×	443 3.5×	48	1.4k
Robert A. Jolly United States	22	316 0.5×	728 2.3×	167 1.0×	78 0.6×	213 1.7×	44	1.4k

Countries citing papers authored by Carol A. Marchant

Since Specialization

Citations

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

Fields of papers citing papers by Carol A. Marchant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Marchant. 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 Carol A. Marchant. The network helps show where Carol A. Marchant may publish in the future.

Co-authorship network of co-authors of Carol A. Marchant

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

All Works

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16 of 16 papers shown

Marchant, Carol A., Edward Rosser, & Jonathan D. Vessey. (2016). A k‐Nearest Neighbours Approach Using Metabolism‐related Fingerprints to Improve In Silico Metabolite Ranking. Molecular Informatics. 36(3). 10 indexed citations

Marchant, Carol A.. (2011). Computational toxicology: a tool for all industries. Wiley Interdisciplinary Reviews Computational Molecular Science. 2(3). 424–434. 9 indexed citations

Marchant, Carol A., et al.. (2009). An Expert System Approach to the Assessment of Hepatotoxic Potential. Chemistry & Biodiversity. 6(11). 2107–2114. 17 indexed citations

Matthews, Edwin J., et al.. (2009). Identification of structure–activity relationships for adverse effects of pharmaceuticals in humans: Part C: Use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities. Regulatory Toxicology and Pharmacology. 54(1). 43–65. 32 indexed citations

Marchant, Carol A., Katharine Briggs, & Anthony D. Long. (2008). In Silico Tools for Sharing Data and Knowledge on Toxicity and Metabolism: Derek for Windows, Meteor, and Vitic. Toxicology Mechanisms and Methods. 18(2-3). 177–187. 247 indexed citations

Matthews, Edwin J., Naomi L. Kruhlak, R. Benz, et al.. (2008). Combined Use of MC4PC, MDL-QSAR, BioEpisteme, Leadscope PDM, and Derek for Windows Software to Achieve High-Performance, High-Confidence, Mode of Action–Based Predictions of Chemical Carcinogenesis in Rodents. Toxicology Mechanisms and Methods. 18(2-3). 189–206. 49 indexed citations

Benigni, Romualdo, Tatiana I. Netzeva, Emilio Benfenati, et al.. (2007). The Expanding Role of Predictive Toxicology: An Update on the (Q)SAR Models for Mutagens and Carcinogens. Journal of Environmental Science and Health Part C. 25(1). 53–97. 92 indexed citations

Patlewicz, Grace, et al.. (2006). Structure–activity relationships for skin sensitization: recent improvements to Derek for Windows. Contact Dermatitis. 55(6). 342–347. 45 indexed citations

Williams, Richard V., Russell Naven, Carol A. Marchant, et al.. (2006). Derek for windows assessment of chromosomal aberration effects. Toxicology Letters. 164. S292–S292. 3 indexed citations

10.

Judson, Philip N., Carol A. Marchant, & Jonathan D. Vessey. (2003). Using Argumentation for Absolute Reasoning about the Potential Toxicity of Chemicals. Journal of Chemical Information and Computer Sciences. 43(5). 1364–1370. 41 indexed citations

11.

Judson, Philip N., Carol A. Marchant, & Jonathan D. Vessey. (2003). Using Argumentation for Absolute Reasoning about the Potential Toxicity of Chemicals.. ChemInform. 34(50).

12.

Greene, Nigel, Philip N. Judson, J. J. Langowski, & Carol A. Marchant. (1999). Knowledge-Based Expert Systems for Toxicity and Metabolism Prediction: DEREK, StAR and METEOR. SAR and QSAR in environmental research. 10(2-3). 299–314. 196 indexed citations

13.

Marchant, Carol A.. (1996). Prediction of rodent carcinogenicity using the DEREK system for 30 chemicals currently being tested by the National Toxicology Program. The DEREK Collaborative Group.. Environmental Health Perspectives. 104(suppl 5). 1065–1073. 34 indexed citations

14.

Ridings, James E., Martin D. Barratt, Martin K. Ellis, et al.. (1996). Computer prediction of possible toxic action from chemical structure: an update on the DEREK system. Toxicology. 106(1-3). 267–279. 162 indexed citations

15.

Marchant, Carol A., et al.. (1996). Prediction of Rodent Carcinogenicity Using the DEREK System for 30 Chemicals Currently Being Tested by the National Toxicology Program. Environmental Health Perspectives. 104. 1065–1065. 13 indexed citations

16.

Marchant, Carol A. & Sarah K. Branch. (1990). 1D and 2D Proton NMR Studies of the Chiral Recognition of Flurbiprofen by β-Cyclodextrin. Journal of Pharmacy and Pharmacology. 42(Supplement_1). 68P–68P. 2 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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