Kentaro Semba
Impact in
- Oncology top 0.5%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Cancer Research top 2%
Papers in
- Oncology 50
- Cancer Cells and Metastasis 15
- Cancer-related Molecular Pathways 12
- HER2/EGFR in Cancer Research 11
- Co-authors
- Tadashi YamamotoK ToyoshimaKumao ToyoshimaJun‐ichiro InoueShuntaro IkawaTetsu AkiyamaTakashi YamamotoNobuyuki Miyajima
- Journals
- Molecular and Cellular Biology (12 papers)Biochemical and Biophysical Research Communications (11 papers)Cancer Science (10 papers)Journal of Biological Chemistry (7 papers)Oncogene (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kentaro Semba
140 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Oncology 3.0k
- Cancer Research 1.0k
- Molecular Biology 4.6k
- Immunology 1.3k
- Radiology, Nuclear Medicine and Imaging 1.3k
Countries citing papers authored by Kentaro Semba
This map shows the geographic impact of Kentaro Semba'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 Kentaro Semba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kentaro Semba more than expected).
Fields of papers citing papers by Kentaro Semba
This network shows the impact of papers produced by Kentaro Semba. 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 Kentaro Semba. The network helps show where Kentaro Semba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kentaro Semba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 0 | |
| 9 | 2017 | 62 | |
| 10 | 2016 | 32 | |
| 11 | 2015 | 19 | |
| 12 | 2014 | 26 | |
| 13 | 2014 | 29 | |
| 14 | 2013 | 46 | |
| 15 | 2012 | 20 | |
| 16 | 2008 | 44 | |
| 17 | 2008 | 150 | |
| 18 | 2007 | 201 | |
| 19 | 2003 | 41 | |
| 20 | Nakahara memorial lecture. Non-receptor type protein-tyrosine kinases closely related to src and yes compose a multigene family. | 1986 | 1 |
About Kentaro Semba
Kentaro Semba is a scholar working on Chemical Health and Safety, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 143 papers that have together received 7.8k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (17 papers), Cancer Cells and Metastasis (15 papers), RNA Research and Splicing (13 papers), Cancer-related Molecular Pathways (12 papers), Ubiquitin and proteasome pathways (11 papers), Genomics and Chromatin Dynamics (11 papers), Virus-based gene therapy research (11 papers) and HER2/EGFR in Cancer Research (11 papers). The work is most often cited by research in Oncology (3.0k citations), Cancer Research (1.0k citations), Molecular Biology (4.6k citations), Immunology (1.3k citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Kentaro Semba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tadashi Yamamoto, K Toyoshima, Kumao Toyoshima, Jun‐ichiro Inoue, Shuntaro Ikawa, Tetsu Akiyama, Takashi Yamamoto, Nobuyuki Miyajima, Nobuo Nomura and Toshiyuki Saito. Their work appears in journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, Cancer Science, Journal of Biological Chemistry and Oncogene.
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.