Yukitoshi Satoh
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 1%
- Epidemiology top 5%
- Co-authors
- Ken NakagawaYuichi IshikawaSakae OkumuraYuki TogashiKengo TakeuchiManabu SodaYoung Lim ChoiHiroyuki Mano
- Topics
- Lung Cancer Treatments and Mutations (62 papers)Lung Cancer Diagnosis and Treatment (54 papers)Lung Cancer Research Studies (29 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Yukitoshi Satoh
169 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Pulmonary and Respiratory Medicine 3.5k
- Oncology 2.6k
- Molecular Biology 2.2k
- Cancer Research 1.5k
- Epidemiology 581
Countries citing papers authored by Yukitoshi Satoh
This map shows the geographic impact of Yukitoshi Satoh'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 Yukitoshi Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukitoshi Satoh more than expected).
Fields of papers citing papers by Yukitoshi Satoh
This network shows the impact of papers produced by Yukitoshi Satoh. 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 Yukitoshi Satoh. The network helps show where Yukitoshi Satoh may publish in the future.
Co-authorship network of co-authors of Yukitoshi Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of Yukitoshi Satoh. A scholar is included among the top collaborators of Yukitoshi Satoh 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 Yukitoshi Satoh. Yukitoshi Satoh 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 | 2 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | KIF5B-ALK, a Novel Fusion Oncokinase Identified by an Immunohistochemistry-based Diagnostic System for ALK-positive Lung Cancerbreakdown → | 557 |
| 17 | 397 | |
| 18 | EGFR signal pathways selectively activated in lung adenocarcinoma. | 1 |
| 19 | 1 | |
| 20 | 43 |
About Yukitoshi Satoh
Yukitoshi Satoh is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 187 papers that have together received 5.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (62 papers), Lung Cancer Diagnosis and Treatment (54 papers) and Lung Cancer Research Studies (29 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (3.5k citations), Cancer Research (1.5k citations) and Oncology (2.6k citations). Yukitoshi Satoh has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Ken Nakagawa, Yuichi Ishikawa, Sakae Okumura, Yuki Togashi, Kengo Takeuchi, Manabu Soda, Young Lim Choi, Hiroyuki Mano, Kentaro Inamura and Satoko Hatano. Their work appears in journals such as The Lancet, Journal of Clinical Investigation 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.