Warren W. Ku

1.3k total citations
36 papers, 913 citations indexed

About

Warren W. Ku is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Warren W. Ku has authored 36 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Plant Science. Recurrent topics in Warren W. Ku's work include Carcinogens and Genotoxicity Assessment (10 papers), Analytical Chemistry and Chromatography (6 papers) and Trace Elements in Health (5 papers). Warren W. Ku is often cited by papers focused on Carcinogens and Genotoxicity Assessment (10 papers), Analytical Chemistry and Chromatography (6 papers) and Trace Elements in Health (5 papers). Warren W. Ku collaborates with scholars based in United States, France and United Kingdom. Warren W. Ku's co-authors include Robert E. Chapin, Krista L. Dobo, Ray H. Liu, Nigel Greene, Stéphane Caron, Jiri Aubrecht, Robert N. Wine, Burhan I. Ghanayem, I.A. Bernstein and Mary Kenney and has published in prestigious journals such as Analytical Chemistry, Biochemical and Biophysical Research Communications and Environmental Health Perspectives.

In The Last Decade

Warren W. Ku

35 papers receiving 846 citations

Peers

Warren W. Ku
Asoka Ranasinghe United States
Heinz Frank Germany
Clay B. Frederick United States
P.B. Farmer United Kingdom
A. M. Jeffrey United States
Itsu Kano Japan
Gary L. Skiles United States
Asoka Ranasinghe United States
Warren W. Ku
Citations per year, relative to Warren W. Ku Warren W. Ku (= 1×) peers Asoka Ranasinghe

Countries citing papers authored by Warren W. Ku

Since Specialization
Citations

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

Fields of papers citing papers by Warren W. Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Warren W. Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Warren W. Ku. A scholar is included among the top collaborators of Warren W. Ku 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 Warren W. Ku. Warren W. Ku 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.
Phillips, Jonathan A., Mitchell E. Taub, Matthew S. Bogdanffy, et al.. (2022). Mode of action and human relevance assessment of male CD‐1 mouse renal adenocarcinoma associated with lifetime exposure to empagliflozin. Journal of Applied Toxicology. 42(10). 1570–1584. 5 indexed citations
2.
Zhong, Xiao‐bo, et al.. (2020). Histone Methyltransferase G9a Regulates Expression of Nuclear Receptors and Cytochrome P450 Enzymes in HepaRG Cells at Basal Level and in Fatty Acid Induced Steatosis. Drug Metabolism and Disposition. 48(12). 1321–1329. 16 indexed citations
3.
Bercu, Joel P., Sheila M. Galloway, Andrew Teasdale, et al.. (2018). Potential impurities in drug substances: Compound-specific toxicology limits for 20 synthetic reagents and by-products, and a class-specific toxicology limit for alkyl bromides. Regulatory Toxicology and Pharmacology. 94. 172–182. 36 indexed citations
4.
Koci, Bryan, Gregory C. Luerman, Ralf Kettenhofen, et al.. (2017). An impedance-based approach using human iPSC-derived cardiomyocytes significantly improves in vitro prediction of in vivo cardiotox liabilities. Toxicology and Applied Pharmacology. 329. 121–127. 28 indexed citations
5.
Ku, Warren W., et al.. (2009). A simple orchidometric method for the preliminary assessment of maturity status in male cynomolgus monkeys (Macaca fascicularis) used for nonclinical safety studies. Journal of Pharmacological and Toxicological Methods. 61(1). 32–37. 13 indexed citations
6.
Sobol, Zhanna, et al.. (2007). Genotoxicity profiles of common alkyl halides and esters with alkylating activity. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 633(2). 80–94. 58 indexed citations
7.
Aubrecht, Jiri, et al.. (2007). Bioluminescent Salmonella reverse mutation assay: a screen for detecting mutagenicity with high throughput attributes. Mutagenesis. 22(5). 335–342. 29 indexed citations
8.
Ku, Warren W., Jiri Aubrecht, Robert J. Mauthe, Robert H. Schiestl, & Albert J. Fornace. (2007). Genetic Toxicity Assessment: Employing the Best Science for Human Safety Evaluation Part VII: Why Not Start with a Single Test: A Transformational Alternative to Genotoxicity Hazard and Risk Assessment. Toxicological Sciences. 99(1). 20–25. 15 indexed citations
10.
Ku, Warren W., Giovanni Brambilla, Hansruedi Glatt, et al.. (2006). Strategy for genotoxicity testing—Metabolic considerations. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 627(1). 59–77. 85 indexed citations
11.
Charuel, Claude, et al.. (2004). Acceptability of Low Levels of Genotoxic Impurities in New Drug Substances. International Journal of Pharmaceutical Medicine. 18(4). 215–220. 4 indexed citations
12.
Chapin, Robert E., et al.. (1998). The effects of dietary boric acid on bone strength in rats. Biological Trace Element Research. 66(1-3). 395–399. 52 indexed citations
13.
Ku, Warren W., Robert N. Wine, Younbyoung Chae, Burhan I. Ghanayem, & Robert E. Chapin. (1995). Spermatocyte Toxicity of 2-Methoxyethanol (ME) in Rats and Guinea Pigs: Evidence for the Induction of Apoptosis. Toxicology and Applied Pharmacology. 134(1). 100–110. 59 indexed citations
14.
Ku, Warren W. & Robert E. Chapin. (1994). Spermatocyte toxicity of 2-methoxyethanol in vivo and in vitro: Requirement for an intact seminiferous tubule structure for germ cell degeneration. Toxicology in Vitro. 8(6). 1191–1202. 18 indexed citations
15.
Ku, Warren W., Burhan I. Ghanayem, Robert E. Chapin, & Robert N. Wine. (1994). Comparison of the Testicular Effects of 2-Methoxyethanol (ME) in Rats and Guinea Pigs. Experimental and Molecular Pathology. 61(2). 119–133. 11 indexed citations
16.
Ku, Warren W., et al.. (1991). Tissue disposition of boron in male Fischer rats. Toxicology and Applied Pharmacology. 111(1). 145–151. 79 indexed citations
17.
Ku, Warren W. & Walter N. Piper. (1990). Pteridine modulation of lead inhibition of uroporphyrinogen synthesis in erythroid precursor cells. Toxicology Letters. 51(1). 91–97. 1 indexed citations
18.
Ku, Warren W., et al.. (1990). Effects of lead on haem biosynthesis during erythroid differentiation in vitro. Toxicology in Vitro. 4(6). 763–769. 4 indexed citations
19.
Ku, Warren W. & I.A. Bernstein. (1988). bis-(β-Chloroethyl)sulfide (BCES)-induced changes in epidermal cell homeostasis in vitro. Toxicology and Applied Pharmacology. 95(3). 397–411. 9 indexed citations
20.
Ku, Warren W., et al.. (1987). Changes in Lectin Binding by Differentiating Cutaneous Keratinocytes From the Newborn Rat. Journal of Investigative Dermatology. 88(6). 719–726. 19 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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