Shunsuke Kato

6.2k citations
102 papers · 4.4k indexed · 2 hit papers · h-index 27

Shunsuke Kato

93 papers receiving 4.3k citations

Hit Papers

Impact of mutant p53 functional properties onTP53mutation...1.2k20032026201020184008001.2k

Peers

Shunsuke Kato
Comparison fields: 5 of 122
  • Oncology 2.6k
  • Cancer Research 1.2k
  • Biotechnology 311
  • Molecular Biology 2.5k
  • Pathology and Forensic Medicine 492
Replace Han Chong Toh with:
Han Chong Toh Singapore
Marija Drobnjak United States
Sorena Nadaf United States
Shuji Nomoto Japan
ST Cheung Hong Kong
Juanita Lopez United Kingdom
Pier Francesco Ferrucci Italy
Paul Haluska United States
Charles Lu United States
Fiamma Buttitta Italy
Shunsuke Kato relative to Han Chong Toh Singapore Han Chong Toh's profile →
Citations per field
00.5×1.5×2.2×
Han Chong Toh · 1×
Citations per year

Countries citing papers authored by Shunsuke Kato

Since Specialization
Citations

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

Fields of papers citing papers by Shunsuke Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20231
4 20223
5 202112
6 201719
7 201416
8 201137
9 20091
10 200948
11 200917
12
Impact of mutant p53 functional properties onTP53mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 databasebreakdown →
20071233
13 200630
14 200619
15 200572
16 20041
17
Understanding the function–structure and function–mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysisbreakdown →
2003626
18 199947
19 19966
20 199338

About Shunsuke Kato

Shunsuke Kato is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 102 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (26 papers), Colorectal Cancer Treatments and Studies (16 papers), Lung Cancer Treatments and Mutations (13 papers), Cancer Genomics and Diagnostics (11 papers), RNA modifications and cancer (11 papers), Epigenetics and DNA Methylation (10 papers), Genetic factors in colorectal cancer (7 papers) and Cancer Treatment and Pharmacology (7 papers). The work is most often cited by research in Oncology (2.6k citations), Cancer Research (1.2k citations) and Biotechnology (311 citations). Shunsuke Kato has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Chikashi Ishioka, Magali Olivier, Pierre Hainaut, Ewy A. Mathé, Audrey Petitjean, Sean V. Tavtigian, Hiroyuki Shibata, Ryunosuke Kanamaru, Kazunori Otsuka and Shuang-Yin Han. Their work appears in journals such as Cancer Science, International Journal of Clinical Oncology, Oncotarget, Human Mutation and Oncology Reports.

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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