Toshihide Ueno
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Hiroyuki ManoYoung Lim ChoiManabu SodaYoshihiro YamashitaKengo TakeuchiYuichi IshikawaHidenori HarutaToru Hamada
- Topics
- Cancer Genomics and Diagnostics (16 papers)Lung Cancer Treatments and Mutations (12 papers)RNA modifications and cancer (8 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Communications
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Toshihide Ueno
70 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Pulmonary and Respiratory Medicine 2.2k
- Oncology 2.1k
- Molecular Biology 2.0k
- Cancer Research 1.0k
- Pathology and Forensic Medicine 515
Countries citing papers authored by Toshihide Ueno
This map shows the geographic impact of Toshihide Ueno'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 Toshihide Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihide Ueno more than expected).
Fields of papers citing papers by Toshihide Ueno
This network shows the impact of papers produced by Toshihide Ueno. 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 Toshihide Ueno. The network helps show where Toshihide Ueno may publish in the future.
Co-authorship network of co-authors of Toshihide Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihide Ueno. A scholar is included among the top collaborators of Toshihide Ueno 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 Toshihide Ueno. Toshihide Ueno 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 | 2 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 61 | |
| 10 | 5 | |
| 11 | 76 | |
| 12 | 6 | |
| 13 | 44 | |
| 14 | 4 | |
| 15 | 34 | |
| 16 | 96 | |
| 17 | EML4-ALK Mutations in Lung Cancer That Confer Resistance to ALK Inhibitorsbreakdown → | 915 |
| 18 | KIF5B-ALK, a Novel Fusion Oncokinase Identified by an Immunohistochemistry-based Diagnostic System for ALK-positive Lung Cancerbreakdown → | 557 |
| 19 | 346 | |
| 20 | 396 |
About Toshihide Ueno
Toshihide Ueno is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 73 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Lung Cancer Treatments and Mutations (12 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Oncology (2.1k citations), Cancer Research (1.0k citations) and Pulmonary and Respiratory Medicine (2.2k citations). Toshihide Ueno has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hiroyuki Mano, Young Lim Choi, Manabu Soda, Yoshihiro Yamashita, Kengo Takeuchi, Yuichi Ishikawa, Hidenori Haruta, Toru Hamada, Shuji Takada and Yasushi Yatabe. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.
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.