Denis M. Grant

7.0k total citations
90 papers, 5.3k citations indexed

About

Denis M. Grant is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Denis M. Grant has authored 90 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 22 papers in Cancer Research and 18 papers in Pharmacology. Recurrent topics in Denis M. Grant's work include Carcinogens and Genotoxicity Assessment (19 papers), Polyamine Metabolism and Applications (17 papers) and Pharmacogenetics and Drug Metabolism (16 papers). Denis M. Grant is often cited by papers focused on Carcinogens and Genotoxicity Assessment (19 papers), Polyamine Metabolism and Applications (17 papers) and Pharmacogenetics and Drug Metabolism (16 papers). Denis M. Grant collaborates with scholars based in Canada, United States and Norway. Denis M. Grant's co-authors include Urs Meyer, Martin Blum, Markus H. Heim, Andrea Gaedigk, Geoffrey H. GOODFELLOW, Bing Tang, W. Kalow, David W. Hein, Kim S. Sugamori and J M Dupret and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Denis M. Grant

88 papers receiving 5.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Denis M. Grant 2.9k 1.4k 1.2k 831 567 90 5.3k
Mark A. Doll 3.2k 1.1× 1.9k 1.4× 668 0.6× 711 0.9× 274 0.5× 160 5.2k
Ai‐Ming Yu 3.8k 1.3× 1.9k 1.4× 1.6k 1.3× 1.6k 1.9× 384 0.7× 159 6.8k
Wendell W. Weber 2.3k 0.8× 1.1k 0.8× 683 0.6× 438 0.5× 346 0.6× 120 4.0k
Thomas H. Rushmore 3.8k 1.3× 542 0.4× 2.0k 1.7× 1.1k 1.3× 756 1.3× 68 6.9k
Dhiren R. Thakker 2.3k 0.8× 1.0k 0.8× 1.4k 1.2× 1.9k 2.2× 499 0.9× 139 5.9k
Neil R. Kitteringham 3.1k 1.1× 372 0.3× 1.8k 1.6× 937 1.1× 819 1.4× 92 7.3k
Andrew Parkinson 1.7k 0.6× 590 0.4× 3.3k 2.8× 1.8k 2.1× 492 0.9× 120 6.4k
Kiyoshi Nagata 2.5k 0.9× 535 0.4× 2.7k 2.3× 1.5k 1.8× 279 0.5× 231 6.6k
Michael T. Murray 2.0k 0.7× 451 0.3× 2.4k 2.0× 1.4k 1.7× 530 0.9× 243 6.3k
Burhan I. Ghanayem 1.1k 0.4× 914 0.7× 2.2k 1.8× 1.2k 1.4× 1.1k 1.9× 94 5.6k

Countries citing papers authored by Denis M. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Denis M. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis M. Grant. 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 Denis M. Grant. The network helps show where Denis M. Grant may publish in the future.

Co-authorship network of co-authors of Denis M. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Denis M. Grant. A scholar is included among the top collaborators of Denis M. Grant 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 Denis M. Grant. Denis M. Grant 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.
Kannen, Vinicius, Siddhartha Das, Paola Cappello, et al.. (2025). Loss of aryl hydrocarbon receptor reduces pancreatic tumor growth by increasing immune cell infiltration. Biochemical Pharmacology. 236. 116872–116872.
2.
Kannen, Vinicius, Siddhartha Das, Paola Cappello, et al.. (2025). Loss of Parp7 increases type I interferon signalling and reduces pancreatic tumour growth by enhancing immune cell infiltration. Frontiers in Immunology. 15. 1513595–1513595.
3.
4.
Hutin, David, et al.. (2022). Reduced Colonic Mucosal Injury in 2,3,7,8-Tetrachlorodibenzo-p-Dioxin Poly ADP-Ribose Polymerase (TIPARP/PARP7)-Deficient Mice. International Journal of Molecular Sciences. 23(2). 920–920. 10 indexed citations
5.
Sugamori, Kim S., et al.. (2020). The impact of sex on hepatotoxic, inflammatory and proliferative responses in mouse models of liver carcinogenesis. Toxicology. 442. 152546–152546. 4 indexed citations
6.
Hutin, David, Laura Tamblyn, Alvin Gomez, et al.. (2018). Hepatocyte-Specific Deletion of TIPARP, a Negative Regulator of the Aryl Hydrocarbon Receptor, Is Sufficient to Increase Sensitivity to Dioxin-Induced Wasting Syndrome. Toxicological Sciences. 165(2). 347–360. 19 indexed citations
7.
Eny, Karen, Trevor J. Orchard, Rachel G. Miller, et al.. (2015). Caffeine Consumption Contributes to Skin Intrinsic Fluorescence in Type 1 Diabetes. Diabetes Technology & Therapeutics. 17(10). 726–734. 16 indexed citations
8.
Wang, Shuang, et al.. (2015). N-Hydroxylation of 4-Aminobiphenyl by CYP2E1 Produces Oxidative Stress in a Mouse Model of Chemically Induced Liver Cancer. Toxicological Sciences. 144(2). 393–405. 13 indexed citations
9.
10.
Boyce-Jacino, Michael T., et al.. (2000). A SNPshot: pharmacogenetics and the future of drug therapy. Trends in biotechnology. 18(8). 334–338. 41 indexed citations
11.
Grant, Denis M., et al.. (2000). Pharmacogenetics of the Human Arylamine N-Acetyltransferases. Pharmacology. 61(3). 204–211. 43 indexed citations
12.
Gaedigk, Andrea, Rachel F. Tyndale, Mallé Jurima‐Romet, et al.. (1998). NAD(P)H:quinone oxidoreductase: polymorphisms and allele frequencies in Caucasian, Chinese and Canadian Native Indian and Inuit populations. Pharmacogenetics. 8(4). 305–313. 81 indexed citations
13.
Lin, Henry J., Nicole Probst‐Hensch, Nicola Hughes, et al.. (1998). Variants of N-acetyltransferase NAT1 and a case-control study of colorectal adenomas. Pharmacogenetics. 8(3). 269–269. 70 indexed citations
14.
Windmill, Kelly, Ross A. McKinnon, Xiaoyi Zhu, et al.. (1997). The role of xenobiotic metabolizing enzymes in arylamine toxicity and carcinogenesis: Functional and localization studies. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 376(1-2). 153–160. 114 indexed citations
15.
Nakamura, Hideki, Jack Uetrecht, Alastair E. Cribb, et al.. (1995). In vitro formation, disposition and toxicity of N-acetoxy-sulfamethoxazole, a potential mediator of sulfamethoxazole toxicity.. Journal of Pharmacology and Experimental Therapeutics. 274(3). 1099–1104. 30 indexed citations
16.
Grant, Denis M.. (1993). Molecular genetics of the N-acetyltransferases. Pharmacogenetics. 3(1). 45–50. 87 indexed citations
17.
Grant, Denis M., Martin Blum, & Urs Meyer. (1992). Polymorphisms of N-acetyltransferase genes. Xenobiotica. 22(9-10). 1073–1081. 19 indexed citations
18.
Cribb, Alastair E., Denis M. Grant, Marcia A. Miller, & S P Spielberg. (1991). Expression of monomorphic arylamine N-acetyltransferase (NAT1) in human leukocytes.. Journal of Pharmacology and Experimental Therapeutics. 259(3). 1241–1246. 64 indexed citations
19.
Blum, Martin, Denis M. Grant, Wesley O. McBride, Markus H. Heim, & Urs Meyer. (1990). Human Arylamine N -Acetyltransferase Genes: Isolation, Chromosomal Localization, and Functional Expression. DNA and Cell Biology. 9(3). 193–203. 357 indexed citations
20.
Grant, Denis M., et al.. (1989). Nucleotide sequence of an intronless gene for a human arylamine N-acetyltransferase related to polymorphic drug acetylation. Nucleic Acids Research. 17(10). 3978–3978. 60 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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