Hisamichi Naito
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 5
- MicroRNA in disease regulation 4
- Immunology top 10%
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 17
- Congenital heart defects research 4
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications 6
- Pharmacology top 5%
- Apelin-related biomedical research 5
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- Cancer Cells and Metastasis 4
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- Axon Guidance and Neuronal Signaling 3
- Co-authors
- Nobuyuki TakakuraHiroyasu KidoyaTomohiro IbaTaku WakabayashiFumitaka MuramatsuSusumu SakimotoKazuhiro TakaraDaishi Yamakawa
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hisamichi Naito
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 336
- Immunology 412
- Molecular Biology 943
- Cell Biology 212
- Pharmacology 190
Countries citing papers authored by Hisamichi Naito
This map shows the geographic impact of Hisamichi Naito'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 Hisamichi Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisamichi Naito more than expected).
Fields of papers citing papers by Hisamichi Naito
This network shows the impact of papers produced by Hisamichi Naito. 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 Hisamichi Naito. The network helps show where Hisamichi Naito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hisamichi Naito, 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 | 7 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 3 | |
| 5 | 2019 | 23 | |
| 6 | 2018 | 33 | |
| 7 | 2018 | 141 | |
| 8 | 2017 | 40 | |
| 9 | 2017 | 9 | |
| 10 | 2016 | 67 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 30 | |
| 13 | 2015 | 57 | |
| 14 | 2013 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 244 | |
| 17 | 2012 | 90 | |
| 18 | 2011 | 55 | |
| 19 | 2007 | 28 | |
| 20 | 1996 | 45 |
About Hisamichi Naito
Hisamichi Naito is a scholar working on Cancer Research, Immunology and Immunology and Allergy, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (17 papers), Zebrafish Biomedical Research Applications (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Apelin-related biomedical research (5 papers), Congenital heart defects research (4 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Cancer Research (336 citations), Immunology (412 citations) and Molecular Biology (943 citations). Hisamichi Naito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Nobuyuki Takakura, Hiroyasu Kidoya, Tomohiro Iba, Taku Wakabayashi, Fumitaka Muramatsu, Susumu Sakimoto, Kazuhiro Takara, Daishi Yamakawa, Shizuo Akira and Takashi Satoh. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.