Tomoyuki Kawamoto
- Oncology top 2%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 10%
- Co-authors
- John MendelsohnGordon SatoAnh D. LeJun SatoHideo MasuiGordon N. GillJunichi SatoJ. Denry Sato
- Topics
- Monoclonal and Polyclonal Antibodies Research (15 papers)Glycosylation and Glycoproteins Research (11 papers)HER2/EGFR in Cancer Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Tomoyuki Kawamoto
26 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Oncology 1.7k
- Molecular Biology 1.5k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Pulmonary and Respiratory Medicine 567
- Cancer Research 267
Countries citing papers authored by Tomoyuki Kawamoto
This map shows the geographic impact of Tomoyuki Kawamoto'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 Tomoyuki Kawamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Kawamoto more than expected).
Fields of papers citing papers by Tomoyuki Kawamoto
This network shows the impact of papers produced by Tomoyuki Kawamoto. 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 Tomoyuki Kawamoto. The network helps show where Tomoyuki Kawamoto may publish in the future.
Co-authorship network of co-authors of Tomoyuki Kawamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Kawamoto. A scholar is included among the top collaborators of Tomoyuki Kawamoto 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 Tomoyuki Kawamoto. Tomoyuki Kawamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 32 | |
| 3 | 86 | |
| 4 | 19 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 52 | |
| 9 | 51 | |
| 10 | 18 | |
| 11 | 66 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 134 | |
| 15 | 36 | |
| 16 | 217 | |
| 17 | 393 | |
| 18 | 84 | |
| 19 | Biological effects in vitro of monoclonal antibodies to human epidermal growth factor receptors. | 379 |
| 20 | 32 |
About Tomoyuki Kawamoto
Tomoyuki Kawamoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Hematology, having authored 26 papers that have together received 3.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (11 papers) and HER2/EGFR in Cancer Research (10 papers). The work is most often cited by research in Oncology (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Molecular Biology (1.5k citations). Tomoyuki Kawamoto has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include John Mendelsohn, Gordon Sato, Anh D. Le, Jun Sato, Hideo Masui, Gordon N. Gill, Junichi Sato, J. Denry Sato, Barbara C. Wolf and Claude Cochet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental 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.