Brandy L. Paris

461 total citations
7 papers, 349 citations indexed

About

Brandy L. Paris is a scholar working on Pharmacology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Brandy L. Paris has authored 7 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 2 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Brandy L. Paris's work include Pharmacogenetics and Drug Metabolism (6 papers), Statistical Methods in Clinical Trials (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Brandy L. Paris is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Statistical Methods in Clinical Trials (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Brandy L. Paris collaborates with scholars based in United States. Brandy L. Paris's co-authors include Andrew Parkinson, Brian W. Ogilvie, Faraz Kazmi, David B. Buckley, Phyllis Yerino, Paul Toren, Amin Rostami‐Hodjegan, Florence Ndikum-Moffor, L. Haupt and Brian D. Smith and has published in prestigious journals such as Inorganic Chemistry, Drug Metabolism and Disposition and Drug Metabolism and Pharmacokinetics.

In The Last Decade

Brandy L. Paris

7 papers receiving 317 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Brandy L. Paris	196	99	65	54	43	7	349
Quan Zhou	189 1.0×	105 1.1×	73 1.1×	104 1.9×	41 1.0×	59	477
G. Ahr	123 0.6×	96 1.0×	57 0.9×	75 1.4×	32 0.7×	22	571
Angela Äbelö	195 1.0×	106 1.1×	72 1.1×	123 2.3×	39 0.9×	26	541
Yoshiro Kohno	103 0.5×	92 0.9×	91 1.4×	98 1.8×	24 0.6×	36	365
Kirk Bertelsen	188 1.0×	126 1.3×	58 0.9×	53 1.0×	32 0.7×	11	456
Hannah Britz	170 0.9×	104 1.1×	53 0.8×	54 1.0×	31 0.7×	8	348
Toshiya Moriwaki	100 0.5×	147 1.5×	39 0.6×	77 1.4×	26 0.6×	26	500
H. Spahn	147 0.8×	78 0.8×	157 2.4×	109 2.0×	12 0.3×	52	623
G. Mahr	168 0.9×	112 1.1×	223 3.4×	81 1.5×	31 0.7×	20	498

Countries citing papers authored by Brandy L. Paris

Since Specialization

Citations

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

Fields of papers citing papers by Brandy L. Paris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandy L. Paris. 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 Brandy L. Paris. The network helps show where Brandy L. Paris may publish in the future.

Co-authorship network of co-authors of Brandy L. Paris

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

All Works

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7 of 7 papers shown

Haupt, L., Faraz Kazmi, Brian W. Ogilvie, et al.. (2015). The Reliability of Estimating Ki Values for Direct, Reversible Inhibition of Cytochrome P450 Enzymes from Corresponding IC50 Values: A Retrospective Analysis of 343 Experiments. Drug Metabolism and Disposition. 43(11). 1744–1750. 50 indexed citations

Parkinson, Andrew, Faraz Kazmi, David B. Buckley, et al.. (2011). An Evaluation of the Dilution Method for Identifying Metabolism-Dependent Inhibitors of Cytochrome P450 Enzymes. Drug Metabolism and Disposition. 39(8). 1370–1387. 58 indexed citations

Ogilvie, Brian W., Phyllis Yerino, Faraz Kazmi, et al.. (2011). The Proton Pump Inhibitor, Omeprazole, but Not Lansoprazole or Pantoprazole, Is a Metabolism-Dependent Inhibitor of CYP2C19: Implications for Coadministration with Clopidogrel. Drug Metabolism and Disposition. 39(11). 2020–2033. 79 indexed citations

Parkinson, Andrew, Faraz Kazmi, David B. Buckley, et al.. (2010). System-Dependent Outcomes during the Evaluation of Drug Candidates as Inhibitors of Cytochrome P450 (CYP) and Uridine Diphosphate Glucuronosyltransferase (UGT) Enzymes: Human Hepatocytes versus Liver Microsomes versus Recombinant Enzymes. Drug Metabolism and Pharmacokinetics. 25(1). 16–27. 59 indexed citations

Nassar, Alaa-Eldin F., Ivan King, Brandy L. Paris, et al.. (2009). An in Vitro Evaluation of the Victim and Perpetrator Potential of the Anticancer Agent Laromustine (VNP40101M), Based on Reaction Phenotyping and Inhibition and Induction of Cytochrome P450 Enzymes. Drug Metabolism and Disposition. 37(9). 1922–1930. 14 indexed citations

Paris, Brandy L., et al.. (2009). In Vitro Inhibition and Induction of Human Liver Cytochrome P450 Enzymes by Milnacipran. Drug Metabolism and Disposition. 37(10). 2045–2054. 53 indexed citations

Paris, Brandy L., et al.. (1964). Vapor Deposition of Pure Ruthenium Metal from Ruthenocene. Inorganic Chemistry. 3(7). 1057–1058. 36 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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