Kazuo Toda

2.3k citations
132 papers · 1.8k · h-index 20

Impact in

Papers in

Kazuo Toda

130 papers receiving 1.7k citations

Peers

Kazuo Toda
Comparison fields: 5 of 108
  • Complementary and Manual Therapy 169
  • Sensory Systems 207
  • Physiology 698
  • Complementary and alternative medicine 213
  • Cellular and Molecular Neuroscience 470
Replace Jin Y. Ro with:
Jin Y. Ro United States
Toshikazu Nishimori Japan
James W. Hu Canada
Bai‐Chuang Shyu Taiwan
Karl Meßlinger Germany
R. Sumino Japan
Hiroki Imbe Japan
Ulrich Hoheisel Germany
Revers Donga United Kingdom
Chun L. Kwan Canada
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Citations per field
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Citations per year

Countries citing papers authored by Kazuo Toda

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Toda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kazuo Toda, 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 Kazuo Toda Line = papers co-authored together Kazuo Toda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009115
2 1990104
3 1996103
4 2004103
5 201391
6 197848
7 197840
8 198136
9 199335
10 199235
11 199634
12 198234
13 198031
14 199030
15 200528
16 200627
17 200322
18 200220
19 199719
20 200719

About Kazuo Toda

Kazuo Toda is a scholar working on Physiology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Complementary and alternative medicine and Nutrition and Dietetics, having authored 132 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (51 papers), Acupuncture Treatment Research Studies (26 papers), Biochemical Analysis and Sensing Techniques (20 papers), Neuropeptides and Animal Physiology (18 papers), Olfactory and Sensory Function Studies (17 papers), Neuroscience and Neuropharmacology Research (17 papers), Pain Management and Placebo Effect (12 papers) and Laser Applications in Dentistry and Medicine (10 papers). The work is most often cited by research in Complementary and Manual Therapy (169 citations), Sensory Systems (207 citations), Physiology (698 citations), Complementary and alternative medicine (213 citations) and Cellular and Molecular Neuroscience (470 citations). Kazuo Toda has collaborated with scholars based in Japan, Brazil and Sri Lanka. Frequent co-authors include Jorge L. Zeredo, Atsushi Iriki, Hisao Tachibana, Kunimichi Soma, Bungo Okuda, Nobuyuki Oka, Yukio Okada, Minoru Sugita, Harunor Rashid and Makoto Inoue. Their work appears in journals such as Experimental Neurology, Chemical Senses, Brain Research, Journal of Dental Research and Stress and Health.

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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