William P. Beierschmitt

596 total citations
18 papers, 502 citations indexed

About

William P. Beierschmitt is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, William P. Beierschmitt has authored 18 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in William P. Beierschmitt's work include Drug-Induced Hepatotoxicity and Protection (10 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). William P. Beierschmitt is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (10 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). William P. Beierschmitt collaborates with scholars based in United States and United Kingdom. William P. Beierschmitt's co-authors include Steven D. Cohen, Edward A. Khairallah, D. S. Wyand, Myron Weiner, Susan Hart, John B. Bartolone, Kevin P. Keenan, Raymond B. Birge, Andrew J. Fleetwood and J. Neil Duncan and has published in prestigious journals such as Annals of the New York Academy of Sciences, Biochemical Pharmacology and Life Sciences.

In The Last Decade

William P. Beierschmitt

18 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William P. Beierschmitt United States 11 370 153 124 86 57 18 502
S.D. Holladay United States 8 322 0.9× 83 0.5× 181 1.5× 84 1.0× 78 1.4× 11 518
Veronica F. Price United States 11 464 1.3× 154 1.0× 180 1.5× 112 1.3× 106 1.9× 17 633
Weiqiao Chen United States 6 366 1.0× 117 0.8× 51 0.4× 121 1.4× 46 0.8× 8 560
T Knight United States 4 307 0.8× 90 0.6× 167 1.3× 75 0.9× 78 1.4× 4 608
Mary K. Bruno United States 9 585 1.6× 212 1.4× 186 1.5× 135 1.6× 98 1.7× 12 743
Matthew D. Moore United States 4 269 0.7× 129 0.8× 61 0.5× 88 1.0× 59 1.0× 12 504
G H Mudge United States 11 290 0.8× 117 0.8× 50 0.4× 109 1.3× 36 0.6× 21 479
AndréE.M. McLean United Kingdom 10 266 0.7× 96 0.6× 62 0.5× 116 1.3× 43 0.8× 13 505
Shirley C. Price United Kingdom 12 173 0.5× 82 0.5× 72 0.6× 112 1.3× 68 1.2× 27 590
A L Hunter United States 6 272 0.7× 105 0.7× 75 0.6× 156 1.8× 79 1.4× 9 529

Countries citing papers authored by William P. Beierschmitt

Since Specialization
Citations

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

Fields of papers citing papers by William P. Beierschmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William P. Beierschmitt. 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 William P. Beierschmitt. The network helps show where William P. Beierschmitt may publish in the future.

Co-authorship network of co-authors of William P. Beierschmitt

This figure shows the co-authorship network connecting the top 25 collaborators of William P. Beierschmitt. A scholar is included among the top collaborators of William P. Beierschmitt 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 William P. Beierschmitt. William P. Beierschmitt 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.
Beierschmitt, William P., et al.. (2020). Permitted Daily Exposure Values: Application Considerations in Toxicological Risk Assessments. International Journal of Toxicology. 39(6). 577–585. 4 indexed citations
2.
Aleo, Michael D., et al.. (2019). Lens cholesterol biosynthesis inhibition: A common mechanism of cataract formation in laboratory animals by pharmaceutical products. Journal of Applied Toxicology. 39(9). 1348–1361. 4 indexed citations
3.
Duncan, J. Neil, et al.. (2017). Calculation of a permitted daily exposure value for the solvent 2-methyltetrahydrofuran. Regulatory Toxicology and Pharmacology. 87. 54–63. 17 indexed citations
4.
Olson, Harry M., et al.. (2001). Hormesis - A Pharmaceutical Industry Perspective. Critical Reviews in Toxicology. 31(4-5). 659–661. 5 indexed citations
5.
Beierschmitt, William P.. (2001). Induction of Hepatic Microsomal Drug-Metabolizing Enzymes by Inhibitors of 5-Lipoxygenase (5-LO): Studies in Rats and 5-LO Knockout Mice. Toxicological Sciences. 63(1). 15–21. 17 indexed citations
6.
Aleo, Michael D., et al.. (2000). The Use of Explant Lens Culture to Assess Cataractogenic Potential. Annals of the New York Academy of Sciences. 919(1). 171–187. 8 indexed citations
7.
Hart, Susan, William P. Beierschmitt, D. S. Wyand, Edward A. Khairallah, & Steven D. Cohen. (1994). Acetaminophen Nephrotoxicity in CD-1 Mice. Toxicology and Applied Pharmacology. 126(2). 267–275. 78 indexed citations
8.
Beierschmitt, William P., et al.. (1989). Selective protein arylation and the age dependency of acetaminophen hepatotoxicity in mice. Toxicology and Applied Pharmacology. 98(3). 517–529. 43 indexed citations
9.
Bartolone, John B., William P. Beierschmitt, Raymond B. Birge, et al.. (1989). Selective acetaminophen metabolite binding to hepatic and extrahepatic proteins: An in vivo and in vitro analysis. Toxicology and Applied Pharmacology. 99(2). 240–249. 58 indexed citations
10.
Beierschmitt, William P., et al.. (1988). Effect of piperonyl butoxide post-treatment on acetaminophen hepatotoxicity. Biochemical Pharmacology. 37(10). 2097–2099. 15 indexed citations
11.
Beierschmitt, William P., et al.. (1988). Acetaminophen-induced inhibition of hepatic mitochondrial respiration in mice. Toxicology and Applied Pharmacology. 93(3). 378–387. 183 indexed citations
12.
Beierschmitt, William P., et al.. (1988). l-alpha-Acetylmethadol administration to lactating rat dams. Effect on hepatic aniline hydroxylase and ethylmorphine N-demethylase activities in rat pups.. Drug Metabolism and Disposition. 16(1). 9–14. 1 indexed citations
13.
Beierschmitt, William P., et al.. (1987). Changes in phase I and phase II biotransformation with age in male Fischer 344 rat colon: Relationship to colon carcinogenesis. Cancer Letters. 36(3). 273–282. 10 indexed citations
14.
Peggins, James O., et al.. (1987). Comparison of hepatic and renal metabolism of acetaminophen in male and female miniature swine.. Drug Metabolism and Disposition. 15(2). 270–273. 5 indexed citations
15.
Beierschmitt, William P. & Myron Weiner. (1986). Age-related changes in renal metabolism of acetaminophen in male Fischer 344 rats. AGE. 9(1). 7–13. 17 indexed citations
16.
Beierschmitt, William P., Kevin P. Keenan, & Myron Weiner. (1986). The development of acetaminophen-induced nephrotoxicity in male Fischer 344 rats of different ages. Archives of Toxicology. 59(4). 206–210. 12 indexed citations
17.
Beierschmitt, William P., Kevin P. Keenan, & Myron Weiner. (1986). Age-related increased susceptibility of male Fischer 344 rats to acetaminophen nephrotoxicity. Life Sciences. 39(24). 2335–2342. 22 indexed citations
18.
Beierschmitt, William P., et al.. (1984). The influence of sex steroid status on the induction of rat hepatic aniline hydroxylase and ethylmorphine demethylase activities by L-alpha-acetylmethadol.. Drug Metabolism and Disposition. 12(2). 266–268. 3 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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