Takayuki Kimura
- Oncology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Hepatology top 2%
- Cancer Research top 5%
- Co-authors
- Yasuhiro FunahashiJunji MatsuiYoichi OzawaKotaro KodamaOsamu TohyamaKiyoshi OkamotoK. NomotoJun‐ichi Ito
- Topics
- Cancer, Hypoxia, and Metabolism (7 papers)Head and Neck Cancer Studies (4 papers)HER2/EGFR in Cancer Research (4 papers)
- Cited by
- HepatologyOncologyAquatic Science
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takayuki Kimura
60 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Oncology 924
- Molecular Biology 522
- Pulmonary and Respiratory Medicine 464
- Hepatology 389
- Cancer Research 315
Countries citing papers authored by Takayuki Kimura
This map shows the geographic impact of Takayuki Kimura'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 Takayuki Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Kimura more than expected).
Fields of papers citing papers by Takayuki Kimura
This network shows the impact of papers produced by Takayuki Kimura. 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 Takayuki Kimura. The network helps show where Takayuki Kimura may publish in the future.
Co-authorship network of co-authors of Takayuki Kimura
This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Kimura. A scholar is included among the top collaborators of Takayuki Kimura 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 Takayuki Kimura. Takayuki Kimura 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | Lenvatinib plus anti-PD-1 antibody combination treatment activates CD8+ T cells through reduction of tumor-associated macrophage and activation of the interferon pathwaybreakdown → | 341 |
| 7 | 13 | |
| 8 | 29 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 284 | |
| 12 | 34 | |
| 13 | 40 | |
| 14 | 5 | |
| 15 | 87 | |
| 16 | Formability of TRIP Type Banitic Ferrite Steel Sheet | 2 |
| 17 | 43 | |
| 18 | 41 | |
| 19 | 4 | |
| 20 | 28 |
About Takayuki Kimura
Takayuki Kimura is a scholar working on Otorhinolaryngology, Cancer Research and Aquatic Science, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Head and Neck Cancer Studies (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Hepatology (389 citations), Oncology (924 citations) and Aquatic Science (192 citations). Takayuki Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasuhiro Funahashi, Junji Matsui, Yoichi Ozawa, Kotaro Kodama, Osamu Tohyama, Kiyoshi Okamoto, K. Nomoto, Jun‐ichi Ito, Yukinori Minoshima and Kazuhiko Yamada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.