Darren Kidd

534 total citations
9 papers, 330 citations indexed

About

Darren Kidd is a scholar working on Small Animals, Molecular Biology and Cancer Research. According to data from OpenAlex, Darren Kidd has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Small Animals, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Darren Kidd's work include Animal testing and alternatives (5 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Darren Kidd is often cited by papers focused on Animal testing and alternatives (5 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Darren Kidd collaborates with scholars based in United Kingdom, United States and Japan. Darren Kidd's co-authors include Julie Clements, Michael T. Johnson, David Kirkland, Michelle R. Embry, Suzanne Fitzpatrick, Marco Corvaro, Nicole Kleinstreuer, Raja S. Settivari, Douglas C. Wolf and Michael Aschner and has published in prestigious journals such as Advances in experimental medicine and biology, Journal of Pharmacy and Pharmacology and Toxicology in Vitro.

In The Last Decade

Darren Kidd

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darren Kidd United Kingdom	6	121	109	100	85	48	9	330
Lesley Reeve United Kingdom	8	93 0.8×	157 1.4×	46 0.5×	64 0.8×	70 1.5×	13	317
Albrecht Poth Germany	11	158 1.3×	188 1.7×	81 0.8×	165 1.9×	64 1.3×	21	439
Rodger Curren United States	12	142 1.2×	143 1.3×	209 2.1×	116 1.4×	66 1.4×	21	498
Laura Jeffrey United Kingdom	7	122 1.0×	221 2.0×	65 0.7×	186 2.2×	110 2.3×	9	411
P.M. Hurley United States	9	150 1.2×	106 1.0×	71 0.7×	71 0.8×	97 2.0×	13	475
Camille Géniès France	14	128 1.1×	64 0.6×	49 0.5×	56 0.7×	60 1.3×	26	436
Marleen Pauwels Belgium	11	67 0.6×	47 0.4×	67 0.7×	79 0.9×	24 0.5×	24	304
Matthew Tate United Kingdom	9	114 0.9×	140 1.3×	44 0.4×	123 1.4×	57 1.2×	15	291
Julia Kenny United Kingdom	10	101 0.8×	131 1.2×	71 0.7×	99 1.2×	42 0.9×	14	378
D. L. Musgrove United States	13	88 0.7×	70 0.6×	69 0.7×	45 0.5×	60 1.3×	22	378

Countries citing papers authored by Darren Kidd

Since Specialization

Citations

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

Fields of papers citing papers by Darren Kidd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Kidd

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

All Works

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9 of 9 papers shown

Parish, Stanley T., Michael Aschner, Warren Casey, et al.. (2020). An evaluation framework for new approach methodologies (NAMs) for human health safety assessment. Regulatory Toxicology and Pharmacology. 112. 104592–104592. 135 indexed citations

Pfuhler, Stefan, Jan van Benthem, Rodger Curren, et al.. (2020). Use of in vitro 3D tissue models in genotoxicity testing: Strategic fit, validation status and way forward. Report of the working group from the 7th International Workshop on Genotoxicity Testing (IWGT). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 850-851. 503135–503135. 46 indexed citations

Kidd, Darren, et al.. (2019). The 3D reconstructed skin micronucleus assay: considerations for optimal protocol design. Mutagenesis. 36(1). 37–49. 7 indexed citations

Stacey, Glyn, Sandra Coecke, Lyn Healy, et al.. (2016). Ensuring the Quality of Stem Cell-Derived In Vitro Models for Toxicity Testing. Advances in experimental medicine and biology. 856. 259–297. 5 indexed citations

Fowler, Paul, Ewan D. Booth, Darren Kidd, et al.. (2013). Where will genetic toxicology testing be in 30 years’ time? Summary report of the 25th Industrial Genotoxicity Group Meeting, Royal Society of Medicine, London, November 9, 2011. Mutagenesis. 29(1). 73–77. 4 indexed citations

Kidd, Darren, et al.. (2011). The Mouse Lymphoma Assay. Methods in molecular biology. 817. 35–54. 28 indexed citations

Whitwell, James, et al.. (2011). Evaluation of a multi-endpoint assay in rats, combining the bone-marrow micronucleus test, the Comet assay and the flow-cytometric peripheral blood micronucleus test. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 722(1). 7–19. 70 indexed citations

Kidd, Darren, Michael T. Johnson, & Julie Clements. (2007). Development of an in vitro corrosion/irritation prediction assay using the EpiDerm™ skin model. Toxicology in Vitro. 21(7). 1292–1297. 32 indexed citations

Kidd, Darren, et al.. (1957). Alkaloids of Rauwolfia Species. Journal of Pharmacy and Pharmacology. 9(1). 176–180. 3 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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