Mamoru Kato

14.8k citations
54 papers · 2.2k · 1 hit paper · h-index 20

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Peptidase Inhibition and Analysis

Papers in

Mamoru Kato

51 papers receiving 2.2k citations

Mamoru Kato's Hit Papers

Genomic spectra of biliary tract cancer 2015 · 853 citations
8530+3+7Years since publication250500750

Peers

Mamoru Kato
Comparison fields: 5 of 96
  • Cancer Research 744
  • Oncology 961
  • Surgery 864
  • Pathology and Forensic Medicine 308
  • Pulmonary and Respiratory Medicine 503
Replace Tchao Méatchi with:
Tchao Méatchi France
Nagahide Matsubara Japan
Marco Pizzi Italy
G. Deplanque France
Torben Frøstrup Hansen Denmark
Teruhiko Yoshida Japan
Hui‐Zi Chen United States
Céline Callens France
Yuan‐Tzu Lan Taiwan
Xiaomao Guo China
Mamoru Kato relative to Tchao Méatchi France Tchao Méatchi's profile →
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Citations per year

Countries citing papers authored by Mamoru Kato

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomic spectra of biliary tract cancer
Hit paper breakdown →
2015853
2 2015148
3 2004129
4 202294
5 201480
6 201766
7 200966
8 202060
9 201857
10 201455
11 201753
12 201447
13 201740
14 201539
15 200936
16 201730
17 201529
18 201624
19 202120
20 200819

About Mamoru Kato

Mamoru Kato is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Genetic factors in colorectal cancer (7 papers), Genomics and Rare Diseases (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), RNA modifications and cancer (5 papers), Cancer Cells and Metastasis (4 papers), Genetic Associations and Epidemiology (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cancer Research (744 citations), Oncology (961 citations), Surgery (864 citations), Pathology and Forensic Medicine (308 citations) and Pulmonary and Respiratory Medicine (503 citations). Mamoru Kato has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tatsuhiro Shibata, Hiromi Nakamura, Yasushi Totoki, Natsuko Hama, Takuji Okusaka, Kazuaki Shimada, Nobuyoshi Hiraoka, Yasuhito Arai, Fumie Hosoda and Asmaa Elzawahry. Their work appears in journals such as Scientific Reports, Nature Communications, Cancer Research, Human Molecular Genetics and Bioinformatics.

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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