Katsuhiko Naoki
- Pulmonary and Respiratory Medicine top 0.1%
- Oncology top 0.2%
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Matthew MeyersonPasi A. JänneWilliam R. SellersJeffrey C. LeeBruce E. JohnsonStacey GabrielNeal I. LindemanFrederic J. Kaye
- Topics
- Lung Cancer Treatments and Mutations (65 papers)Lung Cancer Research Studies (39 papers)Colorectal Cancer Treatments and Studies (19 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Katsuhiko Naoki
123 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Pulmonary and Respiratory Medicine 7.5k
- Oncology 6.2k
- Molecular Biology 5.0k
- Cancer Research 2.7k
- Pathology and Forensic Medicine 811
Countries citing papers authored by Katsuhiko Naoki
This map shows the geographic impact of Katsuhiko Naoki'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 Katsuhiko Naoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiko Naoki more than expected).
Fields of papers citing papers by Katsuhiko Naoki
This network shows the impact of papers produced by Katsuhiko Naoki. 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 Katsuhiko Naoki. The network helps show where Katsuhiko Naoki may publish in the future.
Co-authorship network of co-authors of Katsuhiko Naoki
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiko Naoki. A scholar is included among the top collaborators of Katsuhiko Naoki 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 Katsuhiko Naoki. Katsuhiko Naoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 27 | |
| 9 | 131 | |
| 10 | 58 | |
| 11 | 54 | |
| 12 | 174 | |
| 13 | 467 | |
| 14 | 242 | |
| 15 | EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapybreakdown → | 7539 |
| 16 | 55 | |
| 17 | 40 | |
| 18 | 30 | |
| 19 | 14 | |
| 20 | 43 |
About Katsuhiko Naoki
Katsuhiko Naoki is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 125 papers that have together received 11.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (65 papers), Lung Cancer Research Studies (39 papers) and Colorectal Cancer Treatments and Studies (19 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (7.5k citations), Oncology (6.2k citations) and Cancer Research (2.7k citations). Katsuhiko Naoki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Matthew Meyerson, Pasi A. Jänne, William R. Sellers, Jeffrey C. Lee, Bruce E. Johnson, Stacey Gabriel, Neal I. Lindeman, Frederic J. Kaye, Michael J. Eck and Sean Tracy. Their work appears in journals such as Science, Journal of Clinical Oncology and The Journal of Immunology.
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.