Ikuo Takeuchi

3.5k citations
151 papers · 3.1k · h-index 29

Impact in

Papers in

Ikuo Takeuchi

141 papers receiving 3.0k citations

Peers

Ikuo Takeuchi
Comparison fields: 5 of 144
  • Developmental Neuroscience 406
  • Cell Biology 1.4k
  • Aging 71
  • Cellular and Molecular Neuroscience 671
  • Ecology, Evolution, Behavior and Systematics 658
Replace John Ngai with:
John Ngai United States
Hitoshi Okamoto Japan
Bassem A. Hassan Belgium
Takashi Nishimura Japan
J. Douglas Armstrong United Kingdom
Russell H. Hill Sweden
Ann‐Shyn Chiang Taiwan
Christopher S. Cohan United States
Tatsuo Suzuki Japan
Zilong Qiu China
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Citations per field
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Citations per year

Countries citing papers authored by Ikuo Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Ikuo Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ikuo Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ikuo Takeuchi Line = papers co-authored together Ikuo Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997273
2 1963188
3 2002164
4 1998146
5 1969140
6 2002114
7 198192
8 197680
9 199670
10 199463
11 199959
12 198359
13 198059
14 197956
15 199455
16 197154
17 199954
18 197748
19 197145
20 200643

About Ikuo Takeuchi

Ikuo Takeuchi is a scholar working on Molecular Biology, Cell Biology, Ecology, Evolution, Behavior and Systematics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 151 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (36 papers), Biocrusts and Microbial Ecology (27 papers), Slime Mold and Myxomycetes Research (19 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Microtubule and mitosis dynamics (9 papers), Nerve injury and regeneration (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Developmental Neuroscience (406 citations), Cell Biology (1.4k citations), Aging (71 citations), Cellular and Molecular Neuroscience (671 citations) and Ecology, Evolution, Behavior and Systematics (658 citations). Ikuo Takeuchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ritsuko Katoh‐Semba, Masao Tasaka, Kanefusa Kato, Reiji Semba, Yasuo Maeda, Kei Inouye, Moriaki Hayashi, Yoshiko Takeuchi, Koji Okamoto and Yutaka Inaguma. Their work appears in journals such as Development Growth & Differentiation, Journal of Cell Science, Developmental Biology, Journal of Neurochemistry and Development.

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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