Eric T. Williams

687 total citations
17 papers, 432 citations indexed

About

Eric T. Williams is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Eric T. Williams has authored 17 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Pharmacology. Recurrent topics in Eric T. Williams's work include Cholinesterase and Neurodegenerative Diseases (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Computational Drug Discovery Methods (4 papers). Eric T. Williams is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Computational Drug Discovery Methods (4 papers). Eric T. Williams collaborates with scholars based in United States, Switzerland and Moldova. Eric T. Williams's co-authors include Steven Wrighton, E.J. Perkins, Y. Nancy Wong, Christopher Patten, Jie Wang, Kenneth J. Ruterbories, Yuewei Qian, G. Douglas Ponsler, Nagy A. Farid and Miho Kazui and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Eric T. Williams

17 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric T. Williams United States 9 169 129 118 83 80 17 432
Yasushi Yoshigae Japan 14 96 0.6× 165 1.3× 144 1.2× 39 0.5× 86 1.1× 27 568
Trent L. Abraham United States 9 199 1.2× 106 0.8× 361 3.1× 99 1.2× 22 0.3× 13 768
Dayong Si China 12 147 0.9× 310 2.4× 176 1.5× 50 0.6× 25 0.3× 22 571
James B. Mangold United States 15 154 0.9× 206 1.6× 172 1.5× 38 0.5× 47 0.6× 26 645
Teruaki Okuda Japan 14 71 0.4× 97 0.8× 114 1.0× 36 0.4× 21 0.3× 25 463
Mikie Suzuki Japan 5 55 0.3× 215 1.7× 81 0.7× 39 0.5× 47 0.6× 8 335
Bindhu V. Karanam United States 14 80 0.5× 95 0.7× 249 2.1× 24 0.3× 31 0.4× 23 583
Jean-François Lévesque Canada 13 116 0.7× 84 0.7× 140 1.2× 35 0.4× 29 0.4× 24 496
Katarzyna Regulska Poland 11 86 0.5× 32 0.2× 92 0.8× 44 0.5× 56 0.7× 37 387
Yanjiao Xu China 15 100 0.6× 114 0.9× 147 1.2× 47 0.6× 13 0.2× 35 481

Countries citing papers authored by Eric T. Williams

Since Specialization
Citations

This map shows the geographic impact of Eric T. Williams'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 Eric T. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Williams more than expected).

Fields of papers citing papers by Eric T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric T. Williams. 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 Eric T. Williams. The network helps show where Eric T. Williams may publish in the future.

Co-authorship network of co-authors of Eric T. Williams

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

All Works

17 of 17 papers shown
1.
Peukert, Stefan, Ruowei Mo, Fupeng Ma, et al.. (2023). Discovery of a brain-sparing GIRK1/4 inhibitor for pharmacological cardioversion of atrial fibrillation. Bioorganic & Medicinal Chemistry Letters. 85. 129237–129237. 3 indexed citations
2.
Hamlin, Paul A., Steven I. Park, Thomas Strack, et al.. (2022). Safety and Efficacy of Engineered Toxin Body MT-3724 in Relapsed or Refractory B-cell Non-Hodgkin's Lymphomas and Diffuse Large B-cell Lymphoma. Cancer Research Communications. 2(5). 307–315. 3 indexed citations
3.
Wainberg, Zev A., Monica Mita, Minal Barve, et al.. (2021). Abstract CT130: Phase 1 study of the novel immunotoxin MT-5111 in patients with HER-2+tumors. Cancer Research. 81(13_Supplement). CT130–CT130. 3 indexed citations
4.
Waltzman, Roger J., et al.. (2020). MT-5111: A novel HER2 targeting engineered toxin body in clinical development.. Journal of Clinical Oncology. 38(4_suppl). 433–433. 8 indexed citations
5.
6.
Hamlin, Paul A., Mamia Zodelava, Steven Park, et al.. (2019). Monotherapy Activity with the First CD20-Targeted Immunotoxin, MT-3724, in Subjects with Relapsed/Refractory (R/R) Diffuse Large B-Cell Lymphoma (DLBCL). Blood. 134(Supplement_1). 4098–4098. 1 indexed citations
7.
Hall, Adrian, et al.. (2013). Reversible Inhibition of Human Carboxylesterases by Acyl Glucuronides. Drug Metabolism and Disposition. 41(4). 698–703. 8 indexed citations
8.
Williams, Eric T., et al.. (2011). Investigation of the Metabolism of Rufinamide and Its Interaction with Valproate. Drug Metabolism Letters. 5(4). 280–289. 21 indexed citations
9.
Williams, Eric T., James A. Bacon, David M. Bender, et al.. (2011). Characterization of the Expression and Activity of Carboxylesterases 1 and 2 from the Beagle Dog, Cynomolgus Monkey, and Human. Drug Metabolism and Disposition. 39(12). 2305–2313. 61 indexed citations
10.
Wang, Jie, et al.. (2011). Characterization of Recombinant Human Carboxylesterases: Fluorescein Diacetate as a Probe Substrate for Human Carboxylesterase 2. Drug Metabolism and Disposition. 39(8). 1329–1333. 107 indexed citations
11.
Williams, Eric T., He Wang, Steven Wrighton, Yuewei Qian, & E.J. Perkins. (2010). Genomic analysis of the carboxylesterases: Identification and classification of novel forms. Molecular Phylogenetics and Evolution. 57(1). 23–34. 28 indexed citations
12.
Williams, Eric T., G. Douglas Ponsler, E.J. Perkins, et al.. (2008). The Biotransformation of Prasugrel, a New Thienopyridine Prodrug, by the Human Carboxylesterases 1 and 2. Drug Metabolism and Disposition. 36(7). 1227–1232. 105 indexed citations
13.
Williams, Eric T., Mariam Ehsani, Xiliang Wang, et al.. (2007). Effect of buffer components and carrier solvents on in vitro activity of recombinant human carboxylesterases. Journal of Pharmacological and Toxicological Methods. 57(2). 138–144. 22 indexed citations
14.
Williams, Eric T., et al.. (2007). The chimpanzee cytochrome P450 3A subfamily: Is our closest related species really that similar?. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 2(2). 91–100. 3 indexed citations
15.
Williams, Eric T.. (2006). Chimpanzee: A predictive model for the human cytochrome P450 3A subfamily. DigtalCommons @ Texas Medical Center Library (Texas Medical Center). 1 indexed citations
16.
Williams, Eric T., Andréi S. Rodin, & Henry W. Strobel. (2004). Defining relationships between the known members of the cytochrome P450 3A subfamily, including five putative chimpanzee members. Molecular Phylogenetics and Evolution. 33(2). 300–308. 15 indexed citations
17.
Williams, Eric T., Małgorzata Leyk, Steven Wrighton, et al.. (2004). Estrogen Regulation of the Cytochrome P450 3A Subfamily in Humans. Journal of Pharmacology and Experimental Therapeutics. 311(2). 728–735. 39 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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