Brian D. Chapron

537 total citations
10 papers, 393 citations indexed

About

Brian D. Chapron is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Brian D. Chapron has authored 10 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Brian D. Chapron's work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Vitamin D Research Studies (2 papers). Brian D. Chapron is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Vitamin D Research Studies (2 papers). Brian D. Chapron collaborates with scholars based in United States. Brian D. Chapron's co-authors include Jonathan Himmelfarb, Alenka Chapron, Yoshiyuki Yamaura, Edward J. Kelly, Kenneth E. Thummel, Thomas Neumann, Danny D. Shen, Jenna L. Voellinger, Catherine K. Yeung and Dale W. Hailey and has published in prestigious journals such as Kidney International, British Journal of Clinical Pharmacology and Drug Metabolism and Disposition.

In The Last Decade

Brian D. Chapron

10 papers receiving 386 citations

Peers

Brian D. Chapron

ONCOL

PFM

PHARM

Alenka Chapron United States

Jelle Vriend Netherlands

Elijah J. Weber United States

Katja Jansen Netherlands

Git Chung United Kingdom

Wei Mao China

Chen Xuan China

T J Penders Netherlands

Hui Du China

Alenka Chapron United States

Brian D. Chapron

218 ×1.2

160 ×1.2

66 ×1.1

ONCOL

45 ×0.9

PFM

81 ×1.7

PHARM

Citations per year, relative to Brian D. Chapron Brian D. Chapron (= 1×) peers Alenka Chapron

Countries citing papers authored by Brian D. Chapron

Since Specialization

Citations

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

Fields of papers citing papers by Brian D. Chapron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Chapron. 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 Brian D. Chapron. The network helps show where Brian D. Chapron may publish in the future.

Co-authorship network of co-authors of Brian D. Chapron

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

All Works

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10 of 10 papers shown

Chapron, Brian D., Alenka Chapron, & J. Steven Leeder. (2021). Recent advances in the ontogeny of drug disposition. British Journal of Clinical Pharmacology. 88(10). 4267–4284. 17 indexed citations

Chapron, Brian D., Jean Dinh, Paul Toren, Andrea Gaedigk, & J. Steven Leeder. (2020). The Respective Roles of CYP3A4 and CYP2D6 in the Metabolism of Pimozide to Established and Novel Metabolites. Drug Metabolism and Disposition. 48(11). 1113–1120. 5 indexed citations

Vyhlidal, Carrie A., et al.. (2020). Effect of Crohn’s Disease on Villous Length and CYP3A4 Expression in the Pediatric Small Intestine. Clinical and Translational Science. 14(2). 729–736. 13 indexed citations

Chapron, Alenka, Brian D. Chapron, Dale W. Hailey, et al.. (2020). An Improved Vascularized, Dual-Channel Microphysiological System Facilitates Modeling of Proximal Tubular Solute Secretion. ACS Pharmacology & Translational Science. 3(3). 496–508. 23 indexed citations

Chapron, Brian D.. (2018). Reevaluating the role of megalin in renal vitamin D homeostasis using a human cell-derived microphysiological system. ALTEX. 35(4). 504–515. 21 indexed citations

Wong, Timothy C., Zhican Wang, Brian D. Chapron, et al.. (2018). Polymorphic Human Sulfotransferase 2A1 Mediates the Formation of 25-Hydroxyvitamin D3-3-O-Sulfate, a Major Circulating Vitamin D Metabolite in Humans. Drug Metabolism and Disposition. 46(4). 367–379. 39 indexed citations

Chang, Shih‐Yu, Jenna L. Voellinger, Kirk P. Van Ness, et al.. (2017). Characterization of rat or human hepatocytes cultured in microphysiological systems (MPS) to identify hepatotoxicity. Toxicology in Vitro. 40. 170–183. 31 indexed citations

Weber, Elijah J., Alenka Chapron, Brian D. Chapron, et al.. (2016). Development of a microphysiological model of human kidney proximal tubule function. Kidney International. 90(3). 627–637. 191 indexed citations

Yamaura, Yoshiyuki, Brian D. Chapron, Zejing Wang, Jonathan Himmelfarb, & Ken Thummel. (2015). Functional Comparison of Human Colonic Carcinoma Cell Lines and Primary Small Intestinal Epithelial Cells for Investigations of Intestinal Drug Permeability and First-Pass Metabolism. Drug Metabolism and Disposition. 44(3). 329–335. 47 indexed citations

10.

Chapron, Brian D., Linda J. Risler, Brian Phillips, et al.. (2015). Reversible, Time-Dependent Inhibition of CYP3A-Mediated Metabolism of Midazolam and Tacrolimus by Telaprevir in Human Liver Microsomes. Journal of Pharmacy & Pharmaceutical Sciences. 18(1). 101–101. 6 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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