Hiroto Takeuchi
Impact in
- Ophthalmology top 10%
Papers in
-
- Ubiquitin and proteasome pathways 2
- Protein Kinase Regulation and GTPase Signaling 2
- Ion channel regulation and function 2
- Oncology 9
- Cancer Immunotherapy and Biomarkers 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Koji Ohmori (8 shared papers)Kaori Shinomiya (5 shared papers)Isao Kondô (7 shared papers)Akira Oshita (7 shared papers)Masakazu Kohno (5 shared papers)Katsufumi Mizushige (6 shared papers)Tsunetatsu Namba (2 shared papers)Masakazu Kohno (3 shared papers)
In The Last Decade
Hiroto Takeuchi
36 papers receiving 586 citations
Peers
Comparison fields: 5 of 92
- Cardiology and Cardiovascular Medicine 70
- Ophthalmology 27
- Biomedical Engineering 143
- Immunology 57
- Neurology 22
Countries citing papers authored by Hiroto Takeuchi
This map shows the geographic impact of Hiroto Takeuchi'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 Hiroto Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroto Takeuchi more than expected).
Fields of papers citing papers by Hiroto Takeuchi
This network shows the impact of papers produced by Hiroto Takeuchi. 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 Hiroto Takeuchi. The network helps show where Hiroto Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroto Takeuchi, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 101 | |
| 2 | 2004 | 67 | |
| 3 | 2005 | 46 | |
| 4 | 1996 | 46 | |
| 5 | 2004 | 43 | |
| 6 | 2017 | 41 | |
| 7 | 2002 | 32 | |
| 8 | 2018 | 23 | |
| 9 | 2002 | 19 | |
| 10 | 2003 | 16 | |
| 11 | 2004 | 16 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2002 | 9 | |
| 20 | 2022 | 7 |
About Hiroto Takeuchi
Hiroto Takeuchi is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Biomedical Engineering, having authored 38 papers that have together received 599 indexed citations. Recurring topics across this work include Veterinary Oncology Research (6 papers), Ultrasound and Hyperthermia Applications (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (70 citations), Ophthalmology (27 citations), Biomedical Engineering (143 citations), Immunology (57 citations) and Neurology (22 citations). Hiroto Takeuchi has collaborated with scholars based in Japan, Thailand and France. Frequent co-authors include Koji Ohmori, Kaori Shinomiya, Isao Kondô, Akira Oshita, Masakazu Kohno, Katsufumi Mizushige, Tsunetatsu Namba, Masakazu Kohno, Takahisa Noma and Hideyasu Kiyomoto. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE, Scientific Reports, Frontiers in Veterinary Science and Molecular Pain.
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.