Dan A. Markham

636 total citations
18 papers, 522 citations indexed

About

Dan A. Markham is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Cancer Research. According to data from OpenAlex, Dan A. Markham has authored 18 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 4 papers in Pollution and 3 papers in Cancer Research. Recurrent topics in Dan A. Markham's work include Effects and risks of endocrine disrupting chemicals (7 papers), Toxic Organic Pollutants Impact (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Dan A. Markham is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Toxic Organic Pollutants Impact (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Dan A. Markham collaborates with scholars based in United States, India and Germany. Dan A. Markham's co-authors include Stanley J. Gonsior, Gary M. Kleĉka, Robert J. West, U. Friederich, René Hunziker, John W. Davis, John M. Waechter, Michael Bartels, Claire M. Thornton and Steven G. Hentges and has published in prestigious journals such as Environmental Science & Technology, Food and Chemical Toxicology and Toxicological Sciences.

In The Last Decade

Dan A. Markham

17 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan A. Markham United States 12 394 249 43 41 37 18 522
Colin Darling Canada 12 466 1.2× 330 1.3× 22 0.5× 69 1.7× 41 1.1× 15 606
Songyan Du United States 12 499 1.3× 275 1.1× 36 0.8× 34 0.8× 53 1.4× 14 704
Sibylle Maletz Germany 12 406 1.0× 354 1.4× 28 0.7× 49 1.2× 63 1.7× 14 629
Kerstin Bluhm Germany 14 324 0.8× 252 1.0× 44 1.0× 45 1.1× 118 3.2× 23 656
Jochen Kuckelkorn Germany 10 275 0.7× 223 0.9× 16 0.4× 67 1.6× 23 0.6× 14 420
Nathalie Laville France 4 234 0.6× 236 0.9× 21 0.5× 20 0.5× 46 1.2× 4 431
Marília Cristina Oliveira Souza Brazil 14 317 0.8× 184 0.7× 46 1.1× 67 1.6× 28 0.8× 45 593
Shozo Horii Japan 12 337 0.9× 175 0.7× 70 1.6× 53 1.3× 37 1.0× 23 556
Karin Kypke Netherlands 6 562 1.4× 110 0.4× 85 2.0× 89 2.2× 45 1.2× 9 741
Hélène Serra France 6 357 0.9× 271 1.1× 19 0.4× 41 1.0× 49 1.3× 6 472

Countries citing papers authored by Dan A. Markham

Since Specialization
Citations

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

Fields of papers citing papers by Dan A. Markham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan A. Markham. 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 Dan A. Markham. The network helps show where Dan A. Markham may publish in the future.

Co-authorship network of co-authors of Dan A. Markham

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

All Works

18 of 18 papers shown
1.
Zhang, Fagen, Sue Marty, Robert A. Budinsky, et al.. (2018). Analytical methods impact estimates of trichloroethylene’s glutathione conjugation and risk assessment. Toxicology Letters. 296. 82–94. 6 indexed citations
2.
3.
Draganov, Dragomir, Dan A. Markham, D. Beyer, et al.. (2015). Extensive metabolism and route-dependent pharmacokinetics of bisphenol A (BPA) in neonatal mice following oral or subcutaneous administration. Toxicology. 333. 168–178. 22 indexed citations
4.
Zhang, Fagen, Michael Bartels, Amy J. Clark, et al.. (2014). Comparative metabolism and pharmacokinetics of diisobutyl ketone and diisobutyl carbinol in male SD rats. Toxicology Letters. 232(1). 175–181. 1 indexed citations
5.
Markham, Dan A., John M. Waechter, Robert A. Budinsky, et al.. (2014). Development of a Method for the Determination of Total Bisphenol A at Trace Levels in Human Blood and Urine and Elucidation of Factors Influencing Method Accuracy and Sensitivity. Journal of Analytical Toxicology. 38(4). 194–203. 9 indexed citations
6.
Coady, Katherine K., et al.. (2013). Quantification of Total Thyroxine in Plasma from Xenopus laevis. Journal of Analytical Toxicology. 37(6). 326–336. 9 indexed citations
7.
Markham, Dan A., John M. Waechter, Jane C. Chuang, et al.. (2010). Development of a Method for the Determination of Bisphenol A at Trace Concentrations in Human Blood and Urine and Elucidation of Factors Influencing Method Accuracy and Sensitivity. Journal of Analytical Toxicology. 34(6). 293–303. 71 indexed citations
8.
Elder, Edmund J., et al.. (2007). Preparation, Characterization, and Scale-up of Ketoconazole with Enhanced Dissolution and Bioavailability. Drug Development and Industrial Pharmacy. 33(7). 755–765. 14 indexed citations
9.
Waechter, John M., Claire M. Thornton, Dan A. Markham, & Jeanne Y. Domoradzki. (2006). Factors Affecting the Accuracy of Bisphenol A and Bisphenol A-Monoglucuronide Estimates in Mammalian Tissues and Urine Samples. Toxicology Mechanisms and Methods. 17(1). 13–24. 30 indexed citations
10.
Davis, John W., et al.. (2006). Biodegradation and Product Identification of [14C]Hexabromocyclododecane in Wastewater Sludge and Freshwater Aquatic Sediment. Environmental Science & Technology. 40(17). 5395–5401. 111 indexed citations
11.
Saghir, Shakil A., et al.. (2005). Investigation of the formation of N-nitrosodiethanolamine in B6C3F1 mice following topical administration of triethanolamine. Regulatory Toxicology and Pharmacology. 43(1). 10–18. 2 indexed citations
12.
Mendrala, Alan L., et al.. (2005). Rapid Uptake, Metabolism, and Elimination of Inhaled Sulfuryl Fluoride Fumigant by Rats. Toxicological Sciences. 86(2). 239–247. 11 indexed citations
13.
Kleĉka, Gary M., et al.. (2001). BIODEGRADATION OF BISPHENOL A IN AQUATIC ENVIRONMENTS: RIVER DIE-AWAY. Environmental Toxicology and Chemistry. 20(12). 2725–2725. 16 indexed citations
14.
Kleĉka, Gary M., et al.. (2001). Biodegradation of bisphenol a in aquatic environments: River die-away. Environmental Toxicology and Chemistry. 20(12). 2725–2735. 116 indexed citations
15.
Stott, William T., et al.. (2000). Potential mechanisms of tumorigenic action of diethanolamine in mice. Toxicology Letters. 114(1-3). 67–75. 25 indexed citations
16.
Markham, Dan A., et al.. (1998). Quantitative Determination of Bisphenol-A in River Water by Cool On-Column Injection-Gas Chromatography-Mass Spectrometry. International Journal of Environmental & Analytical Chemistry. 69(1). 83–98. 26 indexed citations
17.
Bartels, Michael, et al.. (1995). Determination of 2-butoxyethanol and butoxyacetic acid in rat and human blood by gas chromatography-mass spectrometry. Journal of Chromatography B Biomedical Sciences and Applications. 665(2). 315–325. 18 indexed citations
18.
Lickly, T.D., et al.. (1991). The migration of acrylonitrile from acrylonitrile/butadiene/styrene polymers into food-simulating liquids. Food and Chemical Toxicology. 29(1). 25–29. 21 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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