Toshihiko Ikeda

4.7k citations
162 papers · 3.8k indexed · 1 hit paper · h-index 31
Topics
Pharmacogenetics and Drug Metabolism (29 papers)Drug Transport and Resistance Mechanisms (16 papers)Cavitation Phenomena in Pumps (14 papers)

In The Last Decade

Toshihiko Ikeda

154 papers receiving 3.6k citations

Hit Papers

Identification of the Human Cytochrome P450 Enzymes Invol...20092026201420202009200400600

Peers

Toshihiko Ikeda
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 772
  • Pharmacology 697
  • Oncology 658
  • Molecular Biology 641
  • Surgery 617
Replace Roberto Padrini with:
Roberto Padrini Italy
Vincent Pichette Canada
Wei Zhang China
Wei Guo China
Akio Kawamura Japan
Ulf Nyman Sweden
Martin J. Shearer United Kingdom
Haiying Zhang China
Sergey V. Brodsky United States
Todd W.B. Gehr United States
Toshihiko Ikeda relative to Roberto Padrini Italy Roberto Padrini's profile →
Citations per field
00.5×1.5×1.8×
Roberto Padrini · 1×
Citations per year

Countries citing papers authored by Toshihiko Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Toshihiko Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiko Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiko Ikeda. A scholar is included among the top collaborators of Toshihiko Ikeda 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 Toshihiko Ikeda. Toshihiko Ikeda 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
#WorkIndexed citations
1 2
2 42
3 5
4 10
5 9
6 97
7 14
8 1
9 32
10 3
11
1
12 1
13 1
14 15
15 4
16 3
17 9
18 0
19 57
20 17

About Toshihiko Ikeda

Toshihiko Ikeda is a scholar working on Pharmacology, Biochemistry and Computational Mechanics, having authored 162 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (29 papers), Drug Transport and Resistance Mechanisms (16 papers) and Cavitation Phenomena in Pumps (14 papers). The work is most often cited by research in Pharmacology (697 citations), Internal Medicine (128 citations) and Cardiology and Cardiovascular Medicine (772 citations). Toshihiko Ikeda has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Atsushi Kurihara, Katsunobu Hagihara, Miho Kazui, Nagy A. Farid, Shouichiro IIO, Osamu Okazaki, Yumi Nishiya, Tomoko Ishizuka, Kuniaki Fukuda and Minoru Tanaka. Their work appears in journals such as Journal of Biological Chemistry, Hepatology and Cancer.

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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