Junji Kato

6.0k citations
197 papers · 4.0k indexed · h-index 32

Impact in

  • Hematology top 1%
    • Iron Metabolism and Disorders
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Chronic Lymphocytic Leukemia Research 10

Junji Kato

185 papers receiving 3.9k citations

Peers

Junji Kato
Comparison fields: 5 of 140
  • Hematology 717
  • Genetics 485
  • Oncology 1.2k
  • Pathology and Forensic Medicine 512
  • Dermatology 193
Replace Giuseppe Grandaliano with:
Giuseppe Grandaliano Italy
Seiji Kawano Japan
Gerhard Krönke Germany
Weina Chen United States
Iris Goldberg Israel
Holger Rumpold Austria
Tsutomu Sato Japan
Mark Kockx Belgium
Caterina Musolino Italy
Y Morishima Japan
Junji Kato relative to Giuseppe Grandaliano Italy Giuseppe Grandaliano's profile →
Citations per field
00.5×3.2×
Giuseppe Grandaliano · 1×
Citations per year

Countries citing papers authored by Junji Kato

Since Specialization
Citations

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

Fields of papers citing papers by Junji Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20248
4 20246
5 20233
6 20214
7 20204
8 202027
9 202011
10 201913
11 201919
12 201720
13 201730
14 20149
15 201152
16 200818
17 200484
18 200267
19
Intravenous microdip infusion of ketamine in subanaesthetic doses for intractable terminal cancer pain
19945
20 19931

About Junji Kato

Junji Kato is a scholar working on Hematology, Genetics, Oncology, Dermatology and Pathology and Forensic Medicine, having authored 197 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Multiple Myeloma Research and Treatments (9 papers), Cancer and Skin Lesions (9 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Hedgehog Signaling Pathway Studies (9 papers). The work is most often cited by research in Hematology (717 citations), Genetics (485 citations), Oncology (1.2k citations), Pathology and Forensic Medicine (512 citations) and Dermatology (193 citations). Junji Kato has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoshiro Niitsu, Yutaka Kohgo, Katsuya Ikuta, Yoshihiro Torimoto, Takaaki Ohtake, Tetsuji Takayama, Rishu Takimoto, Katsuhisa Kogawa, Sumio Sakamaki and Masayoshi Kobune. Their work appears in journals such as The Journal of Dermatology, International Journal of Hematology, Blood, Alcoholism Clinical and Experimental Research and The Journal of Immunology.

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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