Kikuya Kato
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Kazuya TaniguchiJiro OkamiShinzaburo NoguchiRyo MatobaMasahiko HigashiyamaFumio ImamuraKen KodamaYoji Kukita
- Topics
- Cancer Genomics and Diagnostics (28 papers)Molecular Biology Techniques and Applications (18 papers)Lung Cancer Treatments and Mutations (17 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kikuya Kato
83 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.8k
- Cancer Research 1.3k
- Oncology 932
- Pulmonary and Respiratory Medicine 898
- Pathology and Forensic Medicine 309
Countries citing papers authored by Kikuya Kato
This map shows the geographic impact of Kikuya 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 Kikuya Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kikuya Kato more than expected).
Fields of papers citing papers by Kikuya Kato
This network shows the impact of papers produced by Kikuya 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 Kikuya Kato. The network helps show where Kikuya Kato may publish in the future.
Co-authorship network of co-authors of Kikuya Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Kikuya Kato. A scholar is included among the top collaborators of Kikuya Kato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kikuya Kato. Kikuya Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 102 | |
| 3 | 64 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 23 | |
| 7 | 18 | |
| 8 | 250 | |
| 9 | 83 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | Using gene expression profiling to identify a prognostic molecular spectrum in gliomas | 1 |
| 13 | 60 | |
| 14 | 25 | |
| 15 | 18 | |
| 16 | Intratumor heterogeneity of EGFR mutations in lung cancer tissues and its correlation with the response to gefitinib | 1 |
| 17 | 11 | |
| 18 | 21 | |
| 19 | 41 | |
| 20 | 38 |
About Kikuya Kato
Kikuya Kato is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Molecular Biology Techniques and Applications (18 papers) and Lung Cancer Treatments and Mutations (17 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (932 citations) and Pulmonary and Respiratory Medicine (898 citations). Kikuya Kato has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuya Taniguchi, Jiro Okami, Shinzaburo Noguchi, Ryo Matoba, Masahiko Higashiyama, Fumio Imamura, Ken Kodama, Yoji Kukita, Junji Uchida and Noriko Ueno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.
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.