Yuichi Aita
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Hormonal Regulation and Hypertension
Papers in
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- Kruppel-like factors research 3
- Epigenetics and DNA Methylation 2
- Surgery 8
- Adrenal and Paraganglionic Tumors 3
- Pancreatic function and diabetes 2
- Co-authors
- Hitoshi Shimano (12 shared papers)Kazuhiro Takekoshi (11 shared papers)Yasushi Kawakami (11 shared papers)Tatsuhiko N. Ikeda (3 shared papers)Hisato Hara (3 shared papers)Kiyo‐aki Ishii (3 shared papers)Naoya Yahagi (13 shared papers)Yoshinori Takeuchi (13 shared papers)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (2 papers)Biochemical and Biophysical Research Communications (2 papers)iScience (1 paper)Endocrinology (1 paper)Neurochemical Research (1 paper)
- Partner nations
- Japan
In The Last Decade
Yuichi Aita
20 papers receiving 256 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 72
- Endocrinology, Diabetes and Metabolism 46
- Biochemistry 17
- Surgery 88
- Molecular Biology 124
Countries citing papers authored by Yuichi Aita
This map shows the geographic impact of Yuichi Aita'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 Yuichi Aita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Aita more than expected).
Fields of papers citing papers by Yuichi Aita
This network shows the impact of papers produced by Yuichi Aita. 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 Yuichi Aita. The network helps show where Yuichi Aita may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Aita, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 50 | |
| 2 | 2016 | 33 | |
| 3 | 2017 | 30 | |
| 4 | 2015 | 28 | |
| 5 | 2012 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2023 | 9 | |
| 9 | 2017 | 9 | |
| 10 | 2009 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2019 | 1 |
About Yuichi Aita
Yuichi Aita is a scholar working on Molecular Biology, Surgery, Genetics, Cancer Research and Rehabilitation, having authored 21 papers that have together received 259 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Kruppel-like factors research (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Pancreatic function and diabetes (2 papers), Apelin-related biomedical research (2 papers), Interprofessional Education and Collaboration (2 papers), Epigenetics and DNA Methylation (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cancer Research (72 citations), Endocrinology, Diabetes and Metabolism (46 citations), Biochemistry (17 citations), Surgery (88 citations) and Molecular Biology (124 citations). Yuichi Aita has collaborated with scholars based in Japan. Frequent co-authors include Hitoshi Shimano, Kazuhiro Takekoshi, Yasushi Kawakami, Tatsuhiko N. Ikeda, Hisato Hara, Kiyo‐aki Ishii, Naoya Yahagi, Yoshinori Takeuchi, Hiroaki Suzuki and Yuko Tanaka. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Biochemical and Biophysical Research Communications, iScience, Endocrinology and Neurochemical Research.
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.