Ryan Takahashi

761 total citations
31 papers, 443 citations indexed

About

Ryan Takahashi is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Ryan Takahashi has authored 31 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Oncology and 12 papers in Pharmacology. Recurrent topics in Ryan Takahashi's work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Ryan Takahashi is often cited by papers focused on Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (8 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Ryan Takahashi collaborates with scholars based in United States, Canada and Switzerland. Ryan Takahashi's co-authors include S. Cyrus Khojasteh, Thomas A. Grigliatti, Ronald E. Reid, K. Wayne Riggs, Edna F. Choo, Bhagwat Prasad, Cornelis E. C. A. Hop, Bill J. Smith, Stephen Fowler and Justine Badée and has published in prestigious journals such as Analytical Biochemistry, Journal of Pharmacology and Experimental Therapeutics and Molecular Cancer Therapeutics.

In The Last Decade

Ryan Takahashi

30 papers receiving 429 citations

Peers

Ryan Takahashi
Jackie C. Bloomer United Kingdom
Faraz Kazmi United States
I. Gardner United Kingdom
Daniel R. Mudra United States
Sui‐Lin Mo Australia
Jackie C. Bloomer United Kingdom
Ryan Takahashi
Citations per year, relative to Ryan Takahashi Ryan Takahashi (= 1×) peers Jackie C. Bloomer

Countries citing papers authored by Ryan Takahashi

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Takahashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Takahashi. 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 Ryan Takahashi. The network helps show where Ryan Takahashi may publish in the future.

Co-authorship network of co-authors of Ryan Takahashi

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

All Works

20 of 20 papers shown
1.
Takahashi, Ryan, Vikram Malhi, Bianca M. Liederer, et al.. (2023). The Absolute Bioavailability and Absorption, Metabolism, and Excretion of Ipatasertib, a Potent and Highly Selective Protein Kinase B (Akt) Inhibitor. Drug Metabolism and Disposition. 51(10). 1332–1341. 4 indexed citations
2.
Takahashi, Ryan, Jessica M. Grandner, Sudheer Bobba, et al.. (2020). Novel Homodimer Metabolites of GDC-0994 via Cytochrome P450–Catalyzed Radical Coupling. Drug Metabolism and Disposition. 48(6). 521–527. 6 indexed citations
3.
Basit, Abdul, Albert P. Li, Peter W. Fan, et al.. (2020). Regional Proteomic Quantification of Clinically Relevant Non-Cytochrome P450 Enzymes along the Human Small Intestine. Drug Metabolism and Disposition. 48(7). 528–536. 28 indexed citations
4.
Takahashi, Ryan, et al.. (2019). Human Cytochrome P450 1A1 Adapts Active Site for Atypical Nonplanar Substrate. Drug Metabolism and Disposition. 48(2). 86–92. 16 indexed citations
5.
Wang, Jing, Ryan Takahashi, Kevin DeMent, et al.. (2018). Development of a mass spectrometry-based tryptophan 2, 3-dioxygenase assay using liver cytosol from multiple species. Analytical Biochemistry. 556. 85–90. 3 indexed citations
6.
Takahashi, Ryan, Xiaojing Wang, Nathaniel L. Segraves, et al.. (2017). CYP1A1-Mediated Intramolecular Rearrangement of Aminoazepane in GDC-0339. Drug Metabolism and Disposition. 45(10). 1084–1092. 6 indexed citations
7.
Takahashi, Ryan, Sheerin Shahidi-Latham, Susan Wong, & Jae H. Chang. (2017). Applying Stable Isotope Labeled Amino Acids in Micropatterned Hepatocyte Coculture to Directly Determine the Degradation Rate Constant for CYP3A4. Drug Metabolism and Disposition. 45(6). 581–585. 13 indexed citations
8.
Takahashi, Ryan, Jason Halladay, Michael Siu, et al.. (2017). Novel Mechanism of Decyanation of GDC-0425 by Cytochrome P450. Drug Metabolism and Disposition. 45(5). 430–440. 11 indexed citations
10.
Takahashi, Ryan, Shuguang Ma, Qin Yue, et al.. (2016). Absorption, metabolism and excretion of cobimetinib, an oral MEK inhibitor, in rats and dogs. Xenobiotica. 47(1). 50–65. 7 indexed citations
11.
Choo, Edna F., Sarah Woolsey, Kevin DeMent, et al.. (2015). Use of Transgenic Mouse Models to Understand the Oral Disposition and Drug-Drug Interaction Potential of Cobimetinib, a MEK Inhibitor. Drug Metabolism and Disposition. 43(6). 864–869. 15 indexed citations
12.
Takahashi, Ryan, Shuguang Ma, Sarah J. Robinson, et al.. (2015). Elucidating the Mechanisms of Formation for Two Unusual Cytochrome P450–Mediated Fused Ring Metabolites of GDC-0623, a MAPK/ERK Kinase Inhibitor. Drug Metabolism and Disposition. 43(12). 1929–1933. 5 indexed citations
13.
Takahashi, Ryan, Edna F. Choo, Jason Halladay, et al.. (2015). Absorption, Metabolism, Excretion, and the Contribution of Intestinal Metabolism to the Oral Disposition of [14C]Cobimetinib, a MEK Inhibitor, in Humans. Drug Metabolism and Disposition. 44(1). 28–39. 37 indexed citations
14.
Takahashi, Ryan, Shuguang Ma, Qin Yue, et al.. (2014). Dose-dependent exposure and metabolism of GNE-892, a β-secretase inhibitor, in monkeys: contributions by P450, AO, and P-gp. European Journal of Drug Metabolism and Pharmacokinetics. 40(2). 171–185. 2 indexed citations
15.
Khojasteh, S. Cyrus, Qin Yue, Shuguang Ma, et al.. (2014). Investigations into the Mechanisms of Pyridine Ring Cleavage in Vismodegib. Drug Metabolism and Disposition. 42(3). 343–351. 7 indexed citations
16.
Takahashi, Ryan, Shuguang Ma, Alan Deese, et al.. (2014). Elucidating the Mechanism of Cytochrome P450–Mediated Pyrimidine Ring Conversion to Pyrazole Metabolites with the BACE1 Inhibitor GNE-892 in Rats. Drug Metabolism and Disposition. 42(5). 890–898. 9 indexed citations
17.
Yue, Qin, Yung‐Hsiang Chen, Alan Deese, et al.. (2011). Absorption, Distribution, Metabolism, and Excretion of [14C]GDC-0449 (Vismodegib), an Orally Active Hedgehog Pathway Inhibitor, in Rats and Dogs: A Unique Metabolic Pathway via Pyridine Ring Opening. Drug Metabolism and Disposition. 39(6). 952–965. 14 indexed citations
18.
Takahashi, Ryan, Thomas A. Grigliatti, Ronald E. Reid, & K. Wayne Riggs. (2009). The Effect of Allelic Variation in Aldo-Keto Reductase 1C2 on the in Vitro Metabolism of Dihydrotestosterone. Journal of Pharmacology and Experimental Therapeutics. 329(3). 1032–1039. 15 indexed citations
19.
Bains, Onkar S., Ryan Takahashi, Tom Pfeifer, et al.. (2008). Two Allelic Variants of Aldo-Keto Reductase 1A1 Exhibit Reduced in Vitro Metabolism of Daunorubicin. Drug Metabolism and Disposition. 36(5). 904–910. 30 indexed citations
20.
Takahashi, Ryan, Onkar S. Bains, Tom Pfeifer, et al.. (2008). Aldo-Keto Reductase 1C2 Fails to Metabolize Doxorubicin and Daunorubicin in Vitro. Drug Metabolism and Disposition. 36(6). 991–994. 14 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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