Kiyomi Ito

5.1k total citations
93 papers, 3.0k citations indexed

About

Kiyomi Ito is a scholar working on Pharmacology, Oncology and Pharmacology. According to data from OpenAlex, Kiyomi Ito has authored 93 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pharmacology, 45 papers in Oncology and 16 papers in Pharmacology. Recurrent topics in Kiyomi Ito's work include Pharmacogenetics and Drug Metabolism (44 papers), Drug Transport and Resistance Mechanisms (43 papers) and Pharmacological Effects and Toxicity Studies (14 papers). Kiyomi Ito is often cited by papers focused on Pharmacogenetics and Drug Metabolism (44 papers), Drug Transport and Resistance Mechanisms (43 papers) and Pharmacological Effects and Toxicity Studies (14 papers). Kiyomi Ito collaborates with scholars based in Japan, United Kingdom and United States. Kiyomi Ito's co-authors include J. Brian Houston, Yuichi Sugiyama, J. Brian Houston, Hayley S. Brown, Shin‐ichi Kanamitsu, Kiyoshi Sugiyama, Aleksandra Galetin, David Hallifax, Nobutomo Ikarashi and Hiroyuki Kusuhara and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Trends in Pharmacological Sciences and International Journal of Pharmaceutics.

In The Last Decade

Kiyomi Ito

91 papers receiving 2.9k citations

Peers

Kiyomi Ito
Comparison fields: 5 of 125
  • Pharmacology 1.8k
  • Oncology 1.4k
  • Molecular Biology 576
  • Pediatrics, Perinatology and Child Health 555
  • Computational Theory and Mathematics 409
Replace Theunis C. Goosen with:
Theunis C. Goosen United States
A. David Rodrigues United States
Robert L. Walsky United States
J. Andrew Williams United States
Michael Sinz United States
Larry C. Wienkers United States
Mark VandenBranden United States
Ruth Hyland United Kingdom
Sibylle Neuhoff United Kingdom
Neil Parrott Switzerland
Theunis C. Goosen United States View profile →
Citations per field, relative to Kiyomi Ito
Kiyomi Ito · 1×
Citations per year, relative to Kiyomi Ito
Kiyomi Ito · 1×

Countries citing papers authored by Kiyomi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kiyomi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyomi Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyomi Ito. A scholar is included among the top collaborators of Kiyomi Ito 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 Kiyomi Ito. Kiyomi Ito 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
# Work Indexed citations
1 7
2 22
3 2
4 2
5 4
6 13
7 59
8 50
9 6
10 7
11 4
12 18
13 213
14 4
15 24
16
Quantitative Prediction of In Vivo Drug-drug Interactions from In Vitro Data : Effects of Active Transport of Inhibitors into the Liver
4
17 1
18 61
19 101
20 14

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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2026