Kaoru Tsuda

1.2k citations
25 papers · 591 · h-index 14

Impact in

    • Regulation of Appetite and Obesity
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Human-Animal Interaction Studies
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Kaoru Tsuda

25 papers receiving 575 citations

Peers

Kaoru Tsuda
Comparison fields: 5 of 114
  • Endocrine and Autonomic Systems 72
  • Genetics 173
  • Complementary and Manual Therapy 12
  • Sensory Systems 25
  • Renewable Energy, Sustainability and the Environment 75
Replace Le Xiao with:
Le Xiao China
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Yoshitaka Suzuki Japan
Shigeo Takeuchi Japan
Wenbo Zeng China
James A. Fitzgerald United States
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Kaoru Tsuda relative to Le Xiao China Le Xiao's profile →
Citations per field
00.5×5.6×
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Citations per year

Countries citing papers authored by Kaoru Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200392
2 199787
3 202266
4 201163
5 200259
6 201432
7 200729
8 200225
9 201319
10 200918
11 202417
12 201816
13 200613
14 200613
15 20126
16 20026
17 20116
18 20076
19 20074
20 20233

About Kaoru Tsuda

Kaoru Tsuda is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Genetics, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 25 papers that have together received 591 indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (6 papers), solar cell performance optimization (4 papers), Thermal Radiation and Cooling Technologies (3 papers), Photovoltaic System Optimization Techniques (3 papers), Genomics and Phylogenetic Studies (3 papers), Carbon Nanotubes in Composites (3 papers), Genetic diversity and population structure (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (72 citations), Genetics (173 citations), Complementary and Manual Therapy (12 citations), Sensory Systems (25 citations) and Renewable Energy, Sustainability and the Environment (75 citations). Kaoru Tsuda has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Toshiie Sakata, Hironobu Yoshimatsu, Hiromichi Yonekawa, Yoshiaki Kikkawa, Yuichi Tanabe, Takayuki Masaki, Akira Niijima, Juan F. Torres, Yasushi Murakami and Joe Coventry. Their work appears in journals such as Experimental Biology and Medicine, Genes & Genetic Systems, Nature Communications, Advanced Science and The Journal of Biochemistry.

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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