Ken Katono
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 24
- Lung Cancer Research Studies 12
- Colorectal Cancer Treatments and Studies 5
- Cancer Cells and Metastasis 5
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- Lung Cancer Treatments and Mutations 14
- Lung Cancer Diagnosis and Treatment 6
- Co-authors
- Noriyuki Masuda (35 shared papers)Shinichiro Ryuge (23 shared papers)Yukitoshi Satoh (16 shared papers)Yuichi Sato (16 shared papers)Ryo Nagashio (13 shared papers)Makoto Kobayashi (9 shared papers)Satoshi Igawa (23 shared papers)Shi-Xu Jiang (8 shared papers)
- Journals
- Cancer Chemotherapy and Pharmacology (3 papers)Lung Cancer (3 papers)Chemotherapy (2 papers)International Journal of Clinical Oncology (2 papers)Oncology (2 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Ken Katono
37 papers receiving 549 citations
Peers
Comparison fields: 5 of 66
- Oncology 284
- Cancer Research 115
- Pulmonary and Respiratory Medicine 237
- Molecular Biology 271
- Immunology 72
Countries citing papers authored by Ken Katono
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
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.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 56 | |
| 2 | 2015 | 46 | |
| 3 | 2015 | 45 | |
| 4 | 2010 | 40 | |
| 5 | 2017 | 34 | |
| 6 | 2015 | 34 | |
| 7 | 2015 | 28 | |
| 8 | 2016 | 24 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2017 | 20 | |
| 12 | 2018 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2009 | 14 | |
| 15 | 2011 | 13 | |
| 16 | 2010 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2014 | 10 | |
| 20 | 2018 | 9 |
About Ken Katono
Ken Katono is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Cancer Research, having authored 38 papers that have together received 556 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Lung Cancer Research Studies (12 papers), Lung Cancer Diagnosis and Treatment (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Cancer Cells and Metastasis (5 papers), S100 Proteins and Annexins (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Oncology (284 citations), Cancer Research (115 citations), Pulmonary and Respiratory Medicine (237 citations), Molecular Biology (271 citations) and Immunology (72 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, Makoto Kobayashi, Satoshi Igawa, Shi-Xu Jiang, Makoto Saegusa and Sakiko Otani. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Lung Cancer, Chemotherapy, International Journal of Clinical Oncology 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.