Daisuke Katoh

32 papers receiving 738 citations

Peers

Daisuke Katoh
Comparison fields: 5 of 89
  • Immunology and Allergy 106
  • Cardiology and Cardiovascular Medicine 142
  • Cancer Research 87
  • Cell Biology 82
  • Hematology 48
Replace Jeong-Hee Yang with:
Jeong-Hee Yang South Korea
Jan van Bezu Netherlands
Andreea O. Lungu United States
Christopher R. Neal United Kingdom
Daniela Tı̂rziu United States
Yasushi Mochizuki Japan
Tzu‐Pin Shentu United States
Youichi Katoh Japan
Zofia Pawłowska Poland
Daisuke Katoh relative to Jeong-Hee Yang South Korea Jeong-Hee Yang's profile →
Citations per field
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Jeong-Hee Yang · 1×
Citations per year

Countries citing papers authored by Daisuke Katoh

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Katoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 2011115
3 201374
4 202052
5
Expression of peroxisome proliferator-activated receptor (PPAR)-gamma in human lung cancer.
200150
6 202132
7 199630
8 201227
9 201227
10 201326
11 201425
12 201721
13 201320
14 201820
15 201214
16 202414
17 199612
18 201911
19 201210
20 20149

About Daisuke Katoh

Daisuke Katoh is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Cell Biology and Immunology and Allergy, having authored 39 papers that have together received 752 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers), Cancer Cells and Metastasis (3 papers), Hormonal Regulation and Hypertension (3 papers), Stroke Rehabilitation and Recovery (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Vitamin C and Antioxidants Research (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Immunology and Allergy (106 citations), Cardiology and Cardiovascular Medicine (142 citations), Cancer Research (87 citations), Cell Biology (82 citations) and Hematology (48 citations). Daisuke Katoh has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kyoko Imanaka‐Yoshida, Toshimichi Yoshida, Yuji Kozuka, Michihiro Yoshimura, Keiki Nagaharu, Noriko Hanamura, Tomoko Ogawa, Tomohisa Nagoshi, Takuya Yoshino and Xinhui Zhang. Their work appears in journals such as American Journal Of Pathology, Coronary Artery Disease, Cell Metabolism, Bone Marrow Transplantation and Cardiovascular Diabetology.

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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