D. Gatehouse

2.3k total citations
51 papers, 1.6k citations indexed

About

D. Gatehouse is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, D. Gatehouse has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cancer Research, 20 papers in Molecular Biology and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in D. Gatehouse's work include Carcinogens and Genotoxicity Assessment (28 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and DNA Repair Mechanisms (4 papers). D. Gatehouse is often cited by papers focused on Carcinogens and Genotoxicity Assessment (28 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and DNA Repair Mechanisms (4 papers). D. Gatehouse collaborates with scholars based in United Kingdom, United States and Japan. D. Gatehouse's co-authors include David Kirkland, Philippe Vanparys, Lesley Reeve, M R B Keighley, Carl Westmoreland, Takeshi Morita, Stephen D. Dertinger, Antonella Russo, James T. MacGregor and David H. Blakey and has published in prestigious journals such as Journal of Biological Chemistry, British journal of surgery and Carcinogenesis.

In The Last Decade

D. Gatehouse

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Gatehouse United Kingdom 21 845 473 418 329 208 51 1.6k
M.H.L. Green United Kingdom 19 1.2k 1.4× 973 2.1× 519 1.2× 403 1.2× 143 0.7× 31 2.2k
Taijiro Matsushima Japan 28 1.1k 1.3× 1.2k 2.4× 438 1.0× 414 1.3× 626 3.0× 117 3.1k
Fumio Furukawa Japan 28 652 0.8× 964 2.0× 307 0.7× 254 0.8× 324 1.6× 163 2.5k
William Lijinsky United States 26 604 0.7× 413 0.9× 572 1.4× 203 0.6× 84 0.4× 86 1.9k
Richard H.C. San United States 26 1.0k 1.2× 850 1.8× 459 1.1× 369 1.1× 61 0.3× 53 1.9k
Brunhilde Blömeke Germany 27 356 0.4× 634 1.3× 331 0.8× 208 0.6× 73 0.4× 93 2.2k
Virginia C. Dunkel United States 24 1.1k 1.3× 586 1.2× 605 1.4× 410 1.2× 29 0.1× 57 2.0k
David E. Amacher United States 27 519 0.6× 758 1.6× 253 0.6× 240 0.7× 75 0.4× 74 2.1k
William M. Kluwe United States 26 402 0.5× 459 1.0× 746 1.8× 221 0.7× 46 0.2× 67 2.0k
Sophie Langouët France 32 808 1.0× 1.8k 3.8× 316 0.8× 432 1.3× 284 1.4× 74 3.5k

Countries citing papers authored by D. Gatehouse

Since Specialization
Citations

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

Fields of papers citing papers by D. Gatehouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Gatehouse

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

All Works

20 of 20 papers shown
1.
Kirkland, David & D. Gatehouse. (2015). “Aspartame: A review of genotoxicity data”. Food and Chemical Toxicology. 84. 161–168. 37 indexed citations
2.
Kirkland, David, Lesley Reeve, D. Gatehouse, & Philippe Vanparys. (2011). A core in vitro genotoxicity battery comprising the Ames test plus the in vitro micronucleus test is sufficient to detect rodent carcinogens and in vivo genotoxins. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 721(1). 27–73. 176 indexed citations
3.
Gatehouse, D.. (2011). Bacterial Mutagenicity Assays: Test Methods. Methods in molecular biology. 817. 21–34. 39 indexed citations
4.
Aardema, Marilyn J., et al.. (2007). An evaluation of the genotoxicity of the antitussive drug Dextromethorphan. Regulatory Toxicology and Pharmacology. 50(3). 285–293. 5 indexed citations
5.
Tice, Raymond R., D. Gatehouse, David Kirkland, & Günter Speit. (2007). The pathogen reduction treatment of platelets with S-59 HCl (Amotosalen) plus ultraviolet A light: Genotoxicity profile and hazard assessment. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 630(1-2). 50–68. 18 indexed citations
6.
Gatehouse, D., et al.. (1999). Efficient Nitroso Group Transfer fromN-Nitrosoindoles to Nucleotides and 2′-Deoxyguanosine at Physiological pH. Journal of Biological Chemistry. 274(26). 18319–18326. 54 indexed citations
8.
Sullivan, Neil F., D. Gatehouse, & David Tweats. (1993). Mutation, cancer and transgenic models: relevance to the toxicology industry. Mutagenesis. 8(3). 167–174. 20 indexed citations
9.
Westmoreland, Carl, Elisabeth George, Malcolm J. York, & D. Gatehouse. (1992). In vivo genotoxicity studies with p‐benzoquinone dioxime. Environmental and Molecular Mutagenesis. 19(1). 71–76. 4 indexed citations
10.
Fielder, R.J., Alan R. Boobis, Philip A. Botham, et al.. (1992). REPORT OF BRITISH TOXICOLOGY SOCIETY/UK ENVIRONMENTAL MUTAGEN SOCIETY WORKING GROUP. Mutagenesis. 7(5). 313–319. 16 indexed citations
11.
Burlinson, Brian, et al.. (1991). Uptake of tritiated thymidine by cells of the rat gastric mucosa after exposure to loxtidine or omeprazole. Mutagenesis. 6(1). 11–18. 12 indexed citations
12.
Westmoreland, Carl & D. Gatehouse. (1991). Effects of aniline hydrochloride in the mouse bone marrow micronucleus test after oral administration. Carcinogenesis. 12(6). 1057–1060. 18 indexed citations
13.
George, Elisabeth, et al.. (1990). Micronucleus induction by azobenzene and 1,2-dibromo-3-chloropropane in the rat: Evaluation of a triple-dose protocol. Mutation Research/Environmental Mutagenesis and Related Subjects. 234(3-4). 129–134. 8 indexed citations
14.
Stemp, Geoffrey, et al.. (1989). In vitro and in vivo cytogenetic studies of three β-lactam antibiotics (penicillin VK, ampicillin and carbenicillin). Mutagenesis. 4(6). 439–445. 19 indexed citations
15.
Tweats, David & D. Gatehouse. (1988). Further debate of testing strategies. Mutagenesis. 3(2). 95–102. 12 indexed citations
16.
Gatehouse, D.. (1987). Critical features of bacterial mutation assays. Mutagenesis. 2(5). 397–409. 24 indexed citations
17.
Gatehouse, D., et al.. (1984). The differential mutagenicity of isoniazid in fluctuation assays and Salmonella plate tests. Carcinogenesis. 5(3). 391–397. 7 indexed citations
18.
Keighley, M R B, et al.. (1982). Rate of wound sepsis with “selective” short‐term antibiotic prophylaxis in gastric surgery. World Journal of Surgery. 6(4). 445–449. 5 indexed citations
19.
Gatehouse, D.. (1980). Mutagenicity of 1,2 ring-fused acenaphthenes against S. typhimurium TA1537 and TA1538: Structure—Activity relationships. Mutation Research/Genetic Toxicology. 78(2). 121–135. 13 indexed citations
20.
Gatehouse, D., et al.. (1979). The development of a “microtitreR” fluctuation test for the detection of indirect mutagens, and its use in the evaluation of mixed enzyme induction of the liver. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 60(3). 239–252. 48 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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