Takayuki Iwamoto
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies 59
- Cancer Genomics and Diagnostics 17
- Oncology top 1%
- HER2/EGFR in Cancer Research 36
- Cancer Treatment and Pharmacology 17
- Cancer Cells and Metastasis 12
- Human-Computer Interaction top 2%
- Hepatology top 5%
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- Breast Lesions and Carcinomas 13
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- Advanced Breast Cancer Therapies 22
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- Tactile and Sensory Interactions 12
- Co-authors
- Lajos PusztaiHiroyuki ShinodaGabriel N. HortobágyiTakayuki HoshiNaoto T. UenoW. Fraser SymmansMasafumi TakahashiGiampaolo Bianchini
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (9 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takayuki Iwamoto
153 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 1.8k
- Oncology 2.1k
- Human-Computer Interaction 208
- Hepatology 274
- Pathology and Forensic Medicine 423
Countries citing papers authored by Takayuki Iwamoto
This map shows the geographic impact of Takayuki Iwamoto'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 Iwamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Iwamoto more than expected).
Fields of papers citing papers by Takayuki Iwamoto
This network shows the impact of papers produced by Takayuki Iwamoto. 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 Iwamoto. The network helps show where Takayuki Iwamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takayuki Iwamoto, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 1 | |
| 9 | 2019 | 59 | |
| 10 | 2019 | 3 | |
| 11 | 2015 | 9 | |
| 12 | 2015 | 131 | |
| 13 | 2014 | 37 | |
| 14 | 2013 | 65 | |
| 15 | 2011 | 44 | |
| 16 | 2010 | 53 | |
| 17 | 2007 | 3 | |
| 18 | 2004 | 3 | |
| 19 | 2004 | 11 | |
| 20 | 2003 | 3 |
About Takayuki Iwamoto
Takayuki Iwamoto is a scholar working on Cancer Research, Oncology and Human-Computer Interaction, having authored 166 papers that have together received 4.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (59 papers), HER2/EGFR in Cancer Research (36 papers), Advanced Breast Cancer Therapies (22 papers), Cancer Genomics and Diagnostics (17 papers), Cancer Treatment and Pharmacology (17 papers), Breast Lesions and Carcinomas (13 papers), Tactile and Sensory Interactions (12 papers) and Cancer Cells and Metastasis (12 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (2.1k citations) and Human-Computer Interaction (208 citations). Takayuki Iwamoto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Lajos Pusztai, Hiroyuki Shinoda, Gabriel N. Hortobágyi, Takayuki Hoshi, Naoto T. Ueno, W. Fraser Symmans, Masafumi Takahashi, Giampaolo Bianchini, Naoki Niikura and Yuan Qi. 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.