Ken Katono

700 citations
38 papers · 561 · h-index 14

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

Ken Katono

37 papers receiving 554 citations

Peers

Ken Katono
Comparison fields: 5 of 61
  • Oncology 201
  • Cancer Research 83
  • Pulmonary and Respiratory Medicine 167
  • Molecular Biology 211
  • Immunology 52
Replace Guoping Ren with:
Guoping Ren China
JI Epstein United States
Kajsa Ericson Sweden
Dachuan Huang Singapore
Mary E. Rothstein United States
Suhong Xie China
K. Papadopoulos United States
Elena D’Aiuto Italy
Zuo‐Lin Xiang China
Ken Katono relative to Guoping Ren China Guoping Ren's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ken Katono

Since Specialization
Citations

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

Fields of papers citing papers by Ken Katono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 201547
3 201546
4 201040
5 201535
6 201734
7 201528
8 201624
9 201322
10 201721
11 201221
12 201818
13 201717
14 200914
15 201113
16 201013
17 201713
18 201412
19 201410
20 201810

About Ken Katono

Ken Katono is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Neurology, having authored 38 papers that have together received 561 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Lung Cancer Research Studies (6 papers), S100 Proteins and Annexins (5 papers), Neuroendocrine Tumor Research Advances (3 papers), Galectins and Cancer Biology (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Myasthenia Gravis and Thymoma (2 papers). The work is most often cited by research in Oncology (201 citations), Cancer Research (83 citations), Pulmonary and Respiratory Medicine (167 citations), Molecular Biology (211 citations) and Immunology (52 citations). Ken Katono has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Noriyuki Masuda, Shinichiro Ryuge, Yukitoshi Satoh, Yuichi Sato, Ryo Nagashio, Satoshi Igawa, Makoto Kobayashi, Shi-Xu Jiang, Makoto Saegusa and Sakiko Otani. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Lung Cancer, PLoS ONE, Chemotherapy and Oncology.

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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