Kimio Yonesaka
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology top 10%
- Co-authors
- Kazuhiko NakagawaMasayuki TakedaHidetoshi HayashiKoji HarataniKaoru TanakaHiroyasu KanedaYasutaka ChibaRyoji Kato
- Topics
- Lung Cancer Treatments and Mutations (39 papers)HER2/EGFR in Cancer Research (30 papers)Colorectal Cancer Treatments and Studies (18 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kimio Yonesaka
73 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Oncology 2.2k
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 789
- Radiology, Nuclear Medicine and Imaging 489
- Immunology 304
Countries citing papers authored by Kimio Yonesaka
This map shows the geographic impact of Kimio Yonesaka'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 Kimio Yonesaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimio Yonesaka more than expected).
Fields of papers citing papers by Kimio Yonesaka
This network shows the impact of papers produced by Kimio Yonesaka. 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 Kimio Yonesaka. The network helps show where Kimio Yonesaka may publish in the future.
Co-authorship network of co-authors of Kimio Yonesaka
This figure shows the co-authorship network connecting the top 25 collaborators of Kimio Yonesaka. A scholar is included among the top collaborators of Kimio Yonesaka 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 Kimio Yonesaka. Kimio Yonesaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 66 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 59 | |
| 9 | 10 | |
| 10 | 41 | |
| 11 | 19 | |
| 12 | 182 | |
| 13 | 12 | |
| 14 | 86 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 181 | |
| 18 | 96 | |
| 19 | 14 | |
| 20 | Survivin inhibition by si-RNA induces apoptosis and increases sensitivity to adriamycin in human lung cancer cells with p53 mutation | 12 |
About Kimio Yonesaka
Kimio Yonesaka is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (39 papers), HER2/EGFR in Cancer Research (30 papers) and Colorectal Cancer Treatments and Studies (18 papers). The work is most often cited by research in Oncology (2.2k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Radiology, Nuclear Medicine and Imaging (489 citations). Kimio Yonesaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kazuhiko Nakagawa, Masayuki Takeda, Hidetoshi Hayashi, Koji Haratani, Kaoru Tanaka, Hiroyasu Kaneda, Yasutaka Chiba, Ryoji Kato, Keita Kudo and Yoshikazu Hasegawa. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.
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.