Yuichiro Higashimoto
- Oncology top 1%
- Cancer-related Molecular Pathways 12
- Clinical Biochemistry top 0.5%
- Advanced Glycation End Products research 29
- Molecular Biology top 1%
- Heme Oxygenase-1 and Carbon Monoxide 19
- Epigenetics and DNA Methylation 5
- Cell Biology top 1%
- Hemoglobin structure and function 14
- Immunology top 5%
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- Neonatal Health and Biochemistry 10
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- Chronic Kidney Disease and Diabetes 9
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- Cannabis and Cannabinoid Research 6
- Co-authors
- Ettore AppellaShinichi SaitoTakanori MatsuiSho‐ichi YamagishiCarl W. AndersonAlbert J. FornaceMasato NoguchiKazuyasu Sakaguchi
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (12 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yuichiro Higashimoto
93 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Oncology 2.0k
- Clinical Biochemistry 471
- Molecular Biology 4.6k
- Cell Biology 793
- Immunology 912
Countries citing papers authored by Yuichiro Higashimoto
This map shows the geographic impact of Yuichiro Higashimoto'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 Yuichiro Higashimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Higashimoto more than expected).
Fields of papers citing papers by Yuichiro Higashimoto
This network shows the impact of papers produced by Yuichiro Higashimoto. 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 Yuichiro Higashimoto. The network helps show where Yuichiro Higashimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuichiro Higashimoto, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 52 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2015 | 108 | |
| 13 | 2012 | 20 | |
| 14 | 2010 | 7 | |
| 15 | 2004 | 55 | |
| 16 | p29ING4 and p28ING5 bind to p53 and p300, and enhance p53 activity. | 2003 | 229 |
| 17 | 2003 | 203 | |
| 18 | 2002 | 277 | |
| 19 | 2002 | 60 | |
| 20 | 2000 | 22 |
About Yuichiro Higashimoto
Yuichiro Higashimoto is a scholar working on Clinical Biochemistry, Nephrology and Cell Biology, having authored 96 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (29 papers), Heme Oxygenase-1 and Carbon Monoxide (19 papers), Hemoglobin structure and function (14 papers), Cancer-related Molecular Pathways (12 papers), Neonatal Health and Biochemistry (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Cannabis and Cannabinoid Research (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Oncology (2.0k citations), Clinical Biochemistry (471 citations) and Molecular Biology (4.6k citations). Yuichiro Higashimoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ettore Appella, Shinichi Saito, Takanori Matsui, Sho‐ichi Yamagishi, Carl W. Anderson, Albert J. Fornace, Masato Noguchi, Kazuyasu Sakaguchi, Hiroshi Sakamoto and Dmitry V. Bulavin. 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.