Ryuichiro Kimura
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Echinoderm biology and ecology
- Virology top 10%
- HIV Research and Treatment
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Naoki Mori (7 shared papers)Chie Ishikawa (4 shared papers)Masachika Senba (4 shared papers)Takao Ohtsuka (7 shared papers)Joe Chiba (5 shared papers)Kohei Nakata (5 shared papers)Yasuhisa Mori (5 shared papers)Ralf Janknecht (1 shared paper)
- Journals
- Frontiers in Cell and Developmental Biology (3 papers)International Journal of Oncology (3 papers)Life Sciences (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Surgery Today (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Ryuichiro Kimura
38 papers receiving 627 citations
Peers
Comparison fields: 5 of 87
- Aquatic Science 74
- Virology 36
- Cancer Research 85
- Oncology 139
- Immunology 99
Countries citing papers authored by Ryuichiro Kimura
This map shows the geographic impact of Ryuichiro 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 Ryuichiro Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuichiro Kimura more than expected).
Fields of papers citing papers by Ryuichiro Kimura
This network shows the impact of papers produced by Ryuichiro 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 Ryuichiro Kimura. The network helps show where Ryuichiro Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryuichiro Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 69 | |
| 2 | 2019 | 66 | |
| 3 | 2013 | 58 | |
| 4 | 2013 | 56 | |
| 5 | 2011 | 46 | |
| 6 | 2011 | 39 | |
| 7 | 2012 | 37 | |
| 8 | 2019 | 22 | |
| 9 | 2011 | 21 | |
| 10 | 2011 | 19 | |
| 11 | 2019 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2013 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 9 |
About Ryuichiro Kimura
Ryuichiro Kimura is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Epidemiology, having authored 41 papers that have together received 642 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), T-cell and Retrovirus Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Galectins and Cancer Biology (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Aquatic Science (74 citations), Virology (36 citations), Cancer Research (85 citations), Oncology (139 citations) and Immunology (99 citations). Ryuichiro Kimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Naoki Mori, Chie Ishikawa, Masachika Senba, Takao Ohtsuka, Joe Chiba, Kohei Nakata, Yasuhisa Mori, Ralf Janknecht, Yoshihiro Miyasaka and Akihiko Ito. Their work appears in journals such as Frontiers in Cell and Developmental Biology, International Journal of Oncology, Life Sciences, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Surgery Today.
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.