Toshio Teramura

723 total citations
28 papers, 609 citations indexed

About

Toshio Teramura is a scholar working on Pharmacology, Oncology and Pharmacology. According to data from OpenAlex, Toshio Teramura has authored 28 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 14 papers in Oncology and 9 papers in Pharmacology. Recurrent topics in Toshio Teramura's work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (14 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Toshio Teramura is often cited by papers focused on Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (14 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Toshio Teramura collaborates with scholars based in Japan, Netherlands and India. Toshio Teramura's co-authors include Shigeyuki Terashita, Masamichi Yuda, Katsuhide Terada, Yutaka Hirakura, Hiroyuki Yamashita, Kenji Tabata, Shohei Sakuda, S. Higuchi, Megumi Irie and Yoichi Naritomi and has published in prestigious journals such as Pharmaceutical Research, Journal of Proteome Research and Drug Metabolism and Disposition.

In The Last Decade

Toshio Teramura

28 papers receiving 577 citations

Peers

Toshio Teramura
Toshiya Moriwaki Japan
Corina Becker Germany
T. Thanga Mariappan India
Jörg Keldenich Germany
Viera Lukáčová United States
Chyung S. Cook United States
Stuart W. Paine United Kingdom
Christopher Keefer United States
Mehmet Akif Sari France
Aki T. Heikkinen Finland
Toshiya Moriwaki Japan
Toshio Teramura
Citations per year, relative to Toshio Teramura Toshio Teramura (= 1×) peers Toshiya Moriwaki

Countries citing papers authored by Toshio Teramura

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Teramura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshio Teramura

This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Teramura. A scholar is included among the top collaborators of Toshio Teramura 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 Toshio Teramura. Toshio Teramura 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.
Naritomi, Yoichi, Kazuhiro Tetsuka, Hiroyuki Moriguchi, et al.. (2013). Species differences in intestinal glucuronidation activities between humans, rats, dogs and monkeys. Xenobiotica. 44(3). 205–216. 22 indexed citations
2.
Sekiguchi, Mitsuhiro, Yoshihiro Kobashigawa, Hiroyuki Moriguchi, et al.. (2013). High-Throughput Evaluation Method for Drug Association with Pregnane X Receptor (PXR) Using Differential Scanning Fluorometry. SLAS DISCOVERY. 18(9). 1084–1091. 13 indexed citations
3.
4.
Yamano, Katsuhiro, et al.. (2012). Method for predicting human intestinal first-pass metabolism of UGT substrate compounds. Xenobiotica. 42(10). 980–988. 8 indexed citations
5.
Yamashita, Hiroyuki, Yutaka Hirakura, Masamichi Yuda, Toshio Teramura, & Katsuhide Terada. (2012). Detection of Cocrystal Formation Based on Binary Phase Diagrams Using Thermal Analysis. Pharmaceutical Research. 30(1). 70–80. 150 indexed citations
6.
Naritomi, Yoichi, Ken‐ichi Hosoya, Hiroyuki Moriguchi, et al.. (2012). Quantitative Prediction of Human Intestinal Glucuronidation Effects on Intestinal Availability of UDP-Glucuronosyltransferase Substrates Using In Vitro Data. Drug Metabolism and Disposition. 40(9). 1771–1777. 10 indexed citations
7.
Naritomi, Yoichi, et al.. (2011). Correlation of Intrinsic in vitro and in vivo Clearance for Drugs Metabolized by Hepatic UDP-glucuronosyltransferases in Rats. Drug Metabolism and Pharmacokinetics. 26(5). 465–473. 14 indexed citations
8.
Sekiguchi, Mariko, Yoshihiro Kobashigawa, Motoji Kawasaki, et al.. (2011). An evaluation tool for FKBP12-dependent and -independent mTOR inhibitors using a combination of FKBP-mTOR fusion protein, DSC and NMR. Protein Engineering Design and Selection. 24(11). 811–817. 6 indexed citations
9.
Sanoh, Seigo, et al.. (2011). Prediction of Human Metabolism of FK3453 by Aldehyde Oxidase Using Chimeric Mice Transplanted with Human or Rat Hepatocytes. Drug Metabolism and Disposition. 40(1). 76–82. 35 indexed citations
10.
11.
Tetsuka, Kazuhiro, Yoichi Naritomi, Hiroyuki Moriguchi, et al.. (2011). Quantitative Prediction of Intestinal Glucuronidation of Drugs in Rats Using In Vitro Metabolic Clearance Data. Drug Metabolism and Pharmacokinetics. 27(2). 171–180. 18 indexed citations
12.
Yuri, Masatoshi, Masashi Hiramoto, Masanori Naito, et al.. (2011). Identification and Relative Quantitation of an Orphan G-Protein Coupled Receptor SREB2 (GPR85) Protein in Tissue Using a Linear Ion Trap Mass Spectrometer. Journal of Proteome Research. 10(5). 2658–2663. 2 indexed citations
13.
Tabata, Kenji, et al.. (2010). Quantitative Prediction of Intestinal Metabolism in Humans from a Simplified Intestinal Availability Model and Empirical Scaling Factor. Drug Metabolism and Disposition. 38(7). 1230–1237. 43 indexed citations
14.
Tabata, Kenji, et al.. (2009). A Comparison of Pharmacokinetics between Humans and Monkeys. Drug Metabolism and Disposition. 38(2). 308–316. 77 indexed citations
15.
Tabata, Kenji, et al.. (2009). Exploratory population pharmacokinetics (e-PPK) analysis for predicting human PK using exploratory ADME data during early drug discovery research. European Journal of Drug Metabolism and Pharmacokinetics. 34(2). 117–128. 8 indexed citations
16.
Sakuda, Shohei, et al.. (2006). Marked species differences in the bioavailability of midazolam in cynomolgus monkeys and humans. Xenobiotica. 36(4). 331–340. 22 indexed citations
17.
Teramura, Toshio, et al.. (1998). Sensitive and specific method for the determination of josamycin in human plasma by liquid chromatography–mass spectrometry. Journal of Chromatography B Biomedical Sciences and Applications. 720(1-2). 81–87. 9 indexed citations
18.
Pawula, Maria, et al.. (1998). Sensitive and specific liquid chromatographic–tandem mass spectrometric assay for barnidipine in human plasma. Journal of Chromatography B Biomedical Sciences and Applications. 719(1-2). 113–123. 10 indexed citations
19.
Teramura, Toshio, Takashi Tokunaga, Hitoshi Matsumoto, Takashi Watanabe, & S. Higuchi. (1996). Metabolism of barnidipine hydrochloride, a potent calcium antagonist, in rat and dog. Xenobiotica. 26(2). 177–187. 3 indexed citations
20.
Kato, Johji, et al.. (1995). Clinicopharmacological study of nicardipine hydrochloride. Pharmacokinetics and hemodynamics after intravenous infusion in patients with acute heart failure. 23(4). 133–143. 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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