Yu Kato

32 papers receiving 472 citations

Peers

Yu Kato
Comparison fields: 5 of 94
  • Pathology and Forensic Medicine 89
  • Nephrology 26
  • Gastroenterology 19
  • Cell Biology 61
  • Orthopedics and Sports Medicine 28
Replace Craig D. Kamerath with:
Craig D. Kamerath United States
Mehran Dadras Germany
D. McCarthy United Kingdom
Hiroshi Miyamoto Japan
Matthew F. Dilisio United States
Joseph A. Iocono United States
Pierluigi Sapelli Italy
Tymour Forouzanfar Netherlands
Dohun Kim South Korea
Satomi Okano Australia
Yu Kato relative to Craig D. Kamerath United States Craig D. Kamerath's profile →
Citations per field
00.5×6.3×
Craig D. Kamerath · 1×
Citations per year

Countries citing papers authored by Yu Kato

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analysis of mammalian connective tissue: relationship between hierarchical structures and mechanical properties.
1992113
2 200150
3 201242
4 200039
5 201626
6 201425
7 201625
8 202020
9 201519
10 200416
11 202116
12 202012
13 202012
14 201510
15 20199
16 20187
17 20116
18 20236
19 20096
20 20214

About Yu Kato

Yu Kato is a scholar working on Molecular Biology, Immunology, Surgery, Biomedical Engineering and Neurology, having authored 35 papers that have together received 488 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immune Response and Inflammation (4 papers), Mechanical Circulatory Support Devices (3 papers), Plant nutrient uptake and metabolism (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (89 citations), Nephrology (26 citations), Gastroenterology (19 citations), Cell Biology (61 citations) and Orthopedics and Sports Medicine (28 citations). Yu Kato has collaborated with scholars based in Japan and United States. Frequent co-authors include Arthur J. Wasserman, Frederick H. Silver, Masasuke Ohno, Hisashi Hirano, Tetsuo Kanno, Kenichi Yoshida, Ayuko Kimura, Osamu Nishida, Naohide Kuriyama and Yasuyo Shimomura. Their work appears in journals such as Blood Purification, Journal of Artificial Organs, min - Minimally Invasive Neurosurgery, Biochemical and Biophysical Research Communications and Journal of Neurogastroenterology and Motility.

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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