Yutaka Naitoh

3.1k citations
61 papers · 2.5k indexed · h-index 26
Topics
Protist diversity and phylogeny (39 papers)Photoreceptor and optogenetics research (34 papers)Micro and Nano Robotics (16 papers)
Partner nations
JapanUnited StatesNorway

In The Last Decade

Yutaka Naitoh

61 papers receiving 2.3k citations

Peers

Yutaka Naitoh
Comparison fields: 5 of 113
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 1.1k
  • Plant Science 526
  • Cell Biology 386
  • Condensed Matter Physics 358
Replace Hans Machemer with:
Hans Machemer Germany
Yoshiro Saimi United States
Ching Kung United States
Birgit H. Satir United States
Yukio Hiramoto Japan
Teruo Shimmen Japan
Janine Beisson France
Masakatsu Watanabe Japan
Michael Lebert Germany
Sidney L. Tamm United States
Yutaka Naitoh relative to Hans Machemer Germany Hans Machemer's profile →
Citations per field
00.5×1.5×2.1×
Hans Machemer · 1×
Citations per year

Countries citing papers authored by Yutaka Naitoh

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Naitoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Naitoh

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Naitoh. A scholar is included among the top collaborators of Yutaka Naitoh 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 Yutaka Naitoh. Yutaka Naitoh 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 8
2 76
3 13
4 20
5 19
6 39
7 4
8 7
9
Bioelectric Control of Effector Responses in The Marine Dinoflagellate, Noctiluca miliaris
5
10 6
11 16
12 1
13 65
14 53
15 385
16 72
17 35
18 106
19 35
20
Direct Current Stimulation of Opalina with Intracellular Microelectrode
24

About Yutaka Naitoh

Yutaka Naitoh is a scholar working on Cellular and Molecular Neuroscience, Condensed Matter Physics and Physiology, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (39 papers), Photoreceptor and optogenetics research (34 papers) and Micro and Nano Robotics (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Physiology (144 citations) and Condensed Matter Physics (358 citations). Yutaka Naitoh has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Roger Eckert, Hiroki Kaneko, Richard D. Allen, Takashi Tominaga, Kenneth J. Friedman, Mihoko Takahashi, Ching Kung, Christian Stock, Kaoru Katoh and Tomomi Tani. Their work appears in journals such as Nature, Science and Journal of Cell Science.

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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