Koji Kato

12.9k citations
359 papers · 5.8k indexed · h-index 43

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 67
    • Acute Myeloid Leukemia Research 37
    • T-cell and Retrovirus Studies 36

Koji Kato

329 papers receiving 5.7k citations

Peers

Koji Kato
Comparison fields: 5 of 144
  • Hematology 1.6k
  • Biochemistry 444
  • Immunology 1.4k
  • Oncology 1.2k
  • Genetics 426
Replace Mats Brune with:
Mats Brune Sweden
Yoshihide Fujiyama Japan
Roland K. Strong United States
Gerhard J. Zlabinger Austria
Osamu Yamada Japan
Peter Kierulf Norway
Stephanie C. Eisenbarth United States
Fabio Cominelli United States
C.‐B. Laurell Sweden
Kikuo Nomoto Japan
Koji Kato relative to Mats Brune Sweden Mats Brune's profile →
Citations per field
00.5×
Mats Brune · 1×
Citations per year

Countries citing papers authored by Koji Kato

Since Specialization
Citations

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

Fields of papers citing papers by Koji Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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13 20205
14 201715
15 20179
16 201752
17 201620
18 20131
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Mitochondrial KATP channel opener, nicorandil, limits myocardial infarct size even when given during reperfusion alone
20021
20 200127

About Koji Kato

Koji Kato is a scholar working on Hematology, Immunology, Oncology, Pathology and Forensic Medicine and Biochemistry, having authored 359 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (67 papers), Lymphoma Diagnosis and Treatment (52 papers), Acute Myeloid Leukemia Research (37 papers), T-cell and Retrovirus Studies (36 papers), Acute Lymphoblastic Leukemia research (30 papers), CAR-T cell therapy research (26 papers), Chronic Lymphocytic Leukemia Research (25 papers) and Vector-Borne Animal Diseases (24 papers). The work is most often cited by research in Hematology (1.6k citations), Biochemistry (444 citations), Immunology (1.4k citations), Oncology (1.2k citations) and Genetics (426 citations). Koji Kato has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ryo Yamauchi, Kazuo Matsuda, Koichi Akashi, Yoshimitsu Ueno, Toshihiro Miyamoto, Seiji Kojima, Makoto Shimoyamada, Keizo Horibe, Takanori Teshima and Tetsuya Eto. Their work appears in journals such as International Journal of Hematology, Blood, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation and British Journal of Haematology.

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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