David W. Hein

14.6k total citations · 3 hit papers
280 papers, 10.1k citations indexed

About

David W. Hein is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, David W. Hein has authored 280 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Molecular Biology, 123 papers in Cancer Research and 36 papers in Spectroscopy. Recurrent topics in David W. Hein's work include Carcinogens and Genotoxicity Assessment (109 papers), Epigenetics and DNA Methylation (67 papers) and Polyamine Metabolism and Applications (53 papers). David W. Hein is often cited by papers focused on Carcinogens and Genotoxicity Assessment (109 papers), Epigenetics and DNA Methylation (67 papers) and Polyamine Metabolism and Applications (53 papers). David W. Hein collaborates with scholars based in United States, Germany and Canada. David W. Hein's co-authors include Mark A. Doll, Wendell W. Weber, Adrian J. Fretland, Timothy D. Rustan, Yi Feng, Matthew A. Leff, J. Christopher States, Kevin A. Gray, Denis M. Grant and Ronald J. Ferguson and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

David W. Hein

270 papers receiving 9.9k citations

Hit Papers

Molecular genetics and epidemio... 1957 2026 1980 2003 2000 1985 1957 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Hein United States 51 6.0k 3.3k 1.3k 1.3k 808 280 10.1k
Shantu Amin United States 60 9.0k 1.5× 3.0k 0.9× 2.3k 1.7× 1.3k 1.0× 808 1.0× 437 15.4k
Edith Sim United Kingdom 50 4.5k 0.7× 1.2k 0.4× 665 0.5× 972 0.8× 664 0.8× 184 7.9k
Thomas E. Eling United States 67 5.7k 1.0× 1.7k 0.5× 1.2k 0.9× 1.1k 0.9× 1.4k 1.8× 294 15.0k
Ronald A. Lubet United States 57 5.4k 0.9× 2.7k 0.8× 3.0k 2.3× 1.9k 1.5× 2.2k 2.8× 344 12.7k
John DiGiovanni United States 56 6.6k 1.1× 3.1k 0.9× 3.5k 2.6× 751 0.6× 734 0.9× 322 12.6k
Miki Nakajima Japan 60 4.5k 0.8× 2.0k 0.6× 3.0k 2.3× 4.7k 3.7× 793 1.0× 267 11.0k
Umberto Dianzani Italy 66 5.9k 1.0× 1.1k 0.3× 2.0k 1.5× 1.4k 1.1× 786 1.0× 462 16.6k
Matthew M. Ames United States 51 4.0k 0.7× 1.1k 0.3× 2.7k 2.0× 1.3k 1.0× 1.3k 1.6× 239 9.3k
Andreas J. Gescher United Kingdom 59 7.5k 1.2× 1.1k 0.3× 1.8k 1.3× 1.0k 0.8× 560 0.7× 166 15.7k
Ann M. Bode United States 77 12.4k 2.1× 3.3k 1.0× 4.1k 3.1× 1.1k 0.9× 811 1.0× 422 21.1k

Countries citing papers authored by David W. Hein

Since Specialization
Citations

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

Fields of papers citing papers by David W. Hein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Hein. 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 David W. Hein. The network helps show where David W. Hein may publish in the future.

Co-authorship network of co-authors of David W. Hein

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Hein. A scholar is included among the top collaborators of David W. Hein 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 David W. Hein. David W. Hein 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.
Eadon, Michael T., David W. Hein, Michael Asger Andersen, et al.. (2025). Clinical Pharmacogenetics Implementation Consortium Guideline for NAT2 Genotype and Hydralazine Therapy. Clinical Pharmacology & Therapeutics. 118(6). 1430–1436.
2.
Wise, J. & David W. Hein. (2024). N-acetyltransferase metabolism and DNA damage following exposure to 4,4’-oxydianiline in human bronchial epithelial cells. Toxicology Letters. 398. 65–68. 1 indexed citations
3.
Hong, Kyung U., et al.. (2024). Investigation on regulation of N-acetyltransferase 2 expression by nuclear receptors in human hepatocytes. Frontiers in Pharmacology. 15. 1488367–1488367.
4.
6.
Hong, Kyung U., Mark A. Doll, Alaa F. Bakr, et al.. (2020). Acetylator Genotype-Dependent Dyslipidemia in Rats Congenic for N-Acetyltransferase 2. Toxicology Reports. 7. 1319–1330. 6 indexed citations
7.
Doll, Mark A., et al.. (2019). N-acetyltransferase 2 acetylator genotype-dependent N-acetylation of 4-aminobiphenyl in cryopreserved human hepatocytes. Pharmacogenetics and Genomics. 30(3). 61–65. 7 indexed citations
8.
Fu, Zhenming, Martha J. Shrubsole, Guoliang Li, et al.. (2012). Using gene-environment interaction analyses to clarify the role of well-done meat and heterocyclic amine exposure in the etiology of colorectal polyps. American Journal of Clinical Nutrition. 96(5). 1119–1128. 13 indexed citations
9.
Martin, Robert C.G., et al.. (2010). Manganese Superoxide Dismutase Expression as a Function of Genotype and Lung Cancer Pathology. Cancer Investigation. 28(8). 813–819. 10 indexed citations
10.
Martin, Robert C.G., David F. Barker, Mark A. Doll, et al.. (2008). Manganese Superoxide Dismutase Gene Coding Region Polymorphisms Lack Clinical Incidence in General Population. DNA and Cell Biology. 27(6). 321–323. 3 indexed citations
12.
Feng, Yi, Jason Neale, Mark A. Doll, & David W. Hein. (2006). The protective effect of celecoxib, a cyclooxygenase-2 inhibitor, on aberrant crypt formation in rats administered 3,2’-dimethyl-4-aminobiphenyl. Cancer Research. 66. 746–746. 1 indexed citations
13.
14.
Wakefield, Larissa, et al.. (2006). N-Acetyltransferase (Nat) 1 and 2 Expression in Nat2 Knockout Mice. Journal of Pharmacology and Experimental Therapeutics. 319(2). 724–728. 20 indexed citations
15.
Hein, David W.. (2002). A History of English Christianity, 1920-2000. Anglican and Episcopal history. 71(3). 464. 11 indexed citations
16.
O’Neil, William M., Rodger D. MacArthur, Mark A. Doll, et al.. (2002). Acetylator Phenotype and Genotype in HIV‐Infected Patients with and without Sulfonamide Hypersensitivity. The Journal of Clinical Pharmacology. 42(6). 613–619. 26 indexed citations
17.
Reilly, Timothy P., Lawrence H. Lash, Mark A. Doll, et al.. (2000). A Role for Bioactivation and Covalent Binding within Epidermal Keratinocytes in Sulfonamide-Induced Cutaneous Drug Reactions. Journal of Investigative Dermatology. 114(6). 1164–1173. 132 indexed citations
18.
Zheng, Wei, Anne C. Deitz, Deborah R. Campbell, et al.. (1999). N-acetyltransferase 1 genetic polymorphism, cigarette smoking, well-done meat intake, and breast cancer risk.. PubMed. 8(3). 233–9. 93 indexed citations
19.
Kirlin, Ward G., David W. Hein, & Thomas J. Flammang. (1986). Partial purification of acetylator phenotype-dependent and independent hamster bladder isozymes with metabolic capacity towards carcinogenic arylamines. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States).
20.
Weber, Wendell W. & David W. Hein. (1985). N-acetylation pharmacogenetics.. Pharmacological Reviews. 37(1). 25–79. 533 indexed citations breakdown →

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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