Yu Kato

661 citations
35 papers · 482 · h-index 12

Impact in

Papers in

Yu Kato

31 papers receiving 465 citations

Peers

Yu Kato
Comparison fields: 5 of 96
  • Neurology 90
  • Pathology and Forensic Medicine 91
  • Nephrology 33
  • Gastroenterology 24
  • Cell Biology 63
Replace Mehran Dadras with:
Mehran Dadras Germany
Hiroshi Miyamoto Japan
Tymour Forouzanfar Netherlands
Pierluigi Sapelli Italy
Takatoshi Yotsuyanagi Japan
Craig D. Kamerath United States
D. McCarthy United Kingdom
Georgios N. Panagopoulos Greece
Jenny Zwei‐Chieng Chang Taiwan
Sasha J. Tharakan Switzerland
Yu Kato relative to Mehran Dadras Germany Mehran Dadras's profile →
Citations per field
00.5×
Mehran Dadras · 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 200038
5 201626
6 201625
7 201425
8 202020
9 201519
10 202116
11 200416
12 202012
13 202011
14 201510
15 20198
16 20187
17 20116
18 20096
19 20236
20 20194

About Yu Kato

Yu Kato is a scholar working on Molecular Biology, Immunology, Epidemiology, Surgery and Nephrology, having authored 35 papers that have together received 482 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immune Response and Inflammation (4 papers), Acute Kidney Injury Research (4 papers), Sepsis Diagnosis and Treatment (4 papers), Mechanical Circulatory Support Devices (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Dialysis and Renal Disease Management (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Neurology (90 citations), Pathology and Forensic Medicine (91 citations), Nephrology (33 citations), Gastroenterology (24 citations) and Cell Biology (63 citations). Yu Kato has collaborated with scholars based in Japan and United States. Frequent co-authors include Frederick H. Silver, Masasuke Ohno, Arthur J. Wasserman, Hisashi Hirano, Tetsuo Kanno, Kenichi Yoshida, Ayuko Kimura, Osamu Nishida, Naohide Kuriyama and Tomoyuki Nakamura. Their work appears in journals such as Blood Purification, Journal of Artificial Organs, min - Minimally Invasive Neurosurgery, Radiotherapy and Oncology and Membranes.

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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