Shin‐ichi Kanamitsu

1.4k total citations
10 papers, 1.1k citations indexed

About

Shin‐ichi Kanamitsu is a scholar working on Pharmacology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shin‐ichi Kanamitsu has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 8 papers in Oncology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shin‐ichi Kanamitsu's work include Pharmacogenetics and Drug Metabolism (9 papers), Drug Transport and Resistance Mechanisms (8 papers) and Computational Drug Discovery Methods (3 papers). Shin‐ichi Kanamitsu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Drug Transport and Resistance Mechanisms (8 papers) and Computational Drug Discovery Methods (3 papers). Shin‐ichi Kanamitsu collaborates with scholars based in Japan and United States. Shin‐ichi Kanamitsu's co-authors include Yuichi Sugiyama, Takeshi Iwatsubo, Kiyomi Ito, Kaoru Ueda, Hiroshi Suzuki, Kikukatsu Ito, Yukiko Nakajima, Ken Ito, Y Sugiyama and Tomoo Itoh and has published in prestigious journals such as Pharmacological Reviews, The Annual Review of Pharmacology and Toxicology and Pharmaceutical Research.

In The Last Decade

Shin‐ichi Kanamitsu

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin‐ichi Kanamitsu Japan 8 819 615 254 177 170 10 1.1k
Odette A. Fahmi United States 17 866 1.1× 517 0.8× 208 0.8× 202 1.1× 170 1.0× 23 1.2k
H. Kroemer Germany 13 1.0k 1.2× 744 1.2× 353 1.4× 226 1.3× 89 0.5× 18 1.4k
Shigeyuki Terashita Japan 16 666 0.8× 705 1.1× 282 1.1× 302 1.7× 132 0.8× 30 1.3k
Matthew G. Soars United States 20 979 1.2× 785 1.3× 288 1.1× 378 2.1× 128 0.8× 32 1.6k
David Hallifax United Kingdom 21 1.2k 1.4× 809 1.3× 233 0.9× 349 2.0× 271 1.6× 31 1.8k
A. David Rodrigues United States 26 924 1.1× 772 1.3× 328 1.3× 416 2.4× 155 0.9× 49 1.8k
Takafumi Iwatsubo Japan 18 688 0.8× 524 0.9× 140 0.6× 264 1.5× 153 0.9× 33 1.2k
Donald Tweedie United States 24 834 1.0× 568 0.9× 230 0.9× 499 2.8× 158 0.9× 49 1.6k
Susan Hurst United States 18 937 1.1× 587 1.0× 233 0.9× 439 2.5× 241 1.4× 32 1.7k
Zoe Barter United Kingdom 14 586 0.7× 473 0.8× 247 1.0× 166 0.9× 92 0.5× 17 1.1k

Countries citing papers authored by Shin‐ichi Kanamitsu

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐ichi Kanamitsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐ichi Kanamitsu. 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 Shin‐ichi Kanamitsu. The network helps show where Shin‐ichi Kanamitsu may publish in the future.

Co-authorship network of co-authors of Shin‐ichi Kanamitsu

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

All Works

10 of 10 papers shown
1.
Ito, Kiyomi, et al.. (2003). PREDICTION OF THE IN VIVO INTERACTION BETWEEN MIDAZOLAM AND MACROLIDES BASED ON IN VITRO STUDIES USING HUMAN LIVER MICROSOMES. Drug Metabolism and Disposition. 31(7). 945–954. 110 indexed citations
2.
Ito, Kiyomi, Kōji Chiba, Masato Horikawa, et al.. (2002). Which concentration of the inhibitor should be used to predict in vivo drug interactions from in vitro data?. PubMed. 4(4). 53–60. 69 indexed citations
3.
Kanamitsu, Shin‐ichi, et al.. (2000). Quantitative Prediction of In Vivo Drug-drug Interactions from In Vitro Data : Effects of Active Transport of Inhibitors into the Liver. 7(1). 23–29. 4 indexed citations
4.
Kanamitsu, Shin‐ichi, Kiyomi Ito, & Yuichi Sugiyama. (2000). Quantitative Prediction of In Vivo Drug-Drug Interactions from In Vitro Data Based on Physiological Pharmacokinetics: Use of Maximum Unbound Concentration of Inhibitor at the Inlet to the Liver. Pharmaceutical Research. 17(3). 336–343. 95 indexed citations
5.
Kanamitsu, Shin‐ichi, Kiyomi Ito, Carol E. Green, et al.. (2000). Prediction of In Vivo Interaction Between Triazolam and Erythromycin Based on In Vitro Studies Using Human Liver Microsomes and Recombinant Human CYP3A4. Pharmaceutical Research. 17(4). 419–426. 70 indexed citations
6.
Kanamitsu, Shin‐ichi, Kiyomi Ito, Haruhiro Okuda, et al.. (2000). Prediction of In Vivo Drug-Drug Interactions Based on Mechanism-based Inhibition from In Vitro Data: Inhibition of 5-Fluorouracil Metabolism by (E)-5-(2-Bromovinyl)uracil. Drug Metabolism and Disposition. 28(4). 467–474. 46 indexed citations
7.
Komatsu, Kanji, Kiyomi Ito, Yukiko Nakajima, et al.. (2000). Prediction of in Vivo Drug-Drug Interactions between Tolbutamide and Various Sulfonamides in Humans Based on in Vitro Experiments. Drug Metabolism and Disposition. 28(4). 475–481. 53 indexed citations
8.
Ito, Kikukatsu, Takeshi Iwatsubo, Shin‐ichi Kanamitsu, et al.. (1998). Prediction of Pharmacokinetic Alterations Caused by Drug-Drug Interactions: Metabolic Interaction in the Liver. Pharmacological Reviews. 50(3). 387–411. 413 indexed citations
9.
Ito, Ken, Takeshi Iwatsubo, Shin‐ichi Kanamitsu, Yukiko Nakajima, & Y Sugiyama. (1998). QUANTITATIVE PREDICTION OF IN VIVO DRUG CLEARANCE AND DRUG INTERACTIONS FROM IN VITRO DATA ON METABOLISM, TOGETHER WITH BINDING AND TRANSPORT. The Annual Review of Pharmacology and Toxicology. 38(1). 461–499. 237 indexed citations
10.
Ito, Kiyomi, Shin‐ichi Kanamitsu, Noriko Hirota, et al.. (1997). QUANTITATIVE PREDICTION OF <I>IN VIVO</I> METABOLIC CLEARANCE AND DRUG-DRUG INTERACTIONS IN HUMANS BASED ON <I>IN VTIRO</I> STUDIES. Drug Metabolism and Pharmacokinetics. 12(supplement). 132–133.

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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