Daisuke Aibara
Impact in
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- Lipid metabolism and biosynthesis
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- Liver Disease Diagnosis and Treatment
Papers in
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- Peroxisome Proliferator-Activated Receptors 11
- Sphingolipid Metabolism and Signaling 2
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- Lipid metabolism and biosynthesis 7
- Co-authors
- Kimihiko Matsusue (13 shared papers)Frank J. Gonzalez (9 shared papers)Shigeru Yamano (7 shared papers)Soichi Takiguchi (4 shared papers)Shogo Takahashi (3 shared papers)Chad Brocker (3 shared papers)Moshe Levi (3 shared papers)Donghwan Kim (3 shared papers)
- Journals
- Molecular and Cellular Endocrinology (3 papers)Biological and Pharmaceutical Bulletin (2 papers)Genes to Cells (2 papers)Gene (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daisuke Aibara
17 papers receiving 327 citations
Peers
Comparison fields: 5 of 57
- Biochemistry 37
- Epidemiology 108
- Hepatology 21
- Molecular Biology 199
- Physiology 64
Countries citing papers authored by Daisuke Aibara
This map shows the geographic impact of Daisuke Aibara'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 Daisuke Aibara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Aibara more than expected).
Fields of papers citing papers by Daisuke Aibara
This network shows the impact of papers produced by Daisuke Aibara. 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 Daisuke Aibara. The network helps show where Daisuke Aibara may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Aibara, 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 | 2021 | 93 | |
| 2 | 2020 | 61 | |
| 3 | 2014 | 40 | |
| 4 | 2022 | 28 | |
| 5 | 2013 | 18 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2017 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 0 |
About Daisuke Aibara
Daisuke Aibara is a scholar working on Molecular Biology, Biochemistry, Physiology, Surgery and Epidemiology, having authored 18 papers that have together received 329 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Lipid metabolism and biosynthesis (7 papers), Adipose Tissue and Metabolism (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cholesterol and Lipid Metabolism (3 papers), Sphingolipid Metabolism and Signaling (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Biochemistry (37 citations), Epidemiology (108 citations), Hepatology (21 citations), Molecular Biology (199 citations) and Physiology (64 citations). Daisuke Aibara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kimihiko Matsusue, Frank J. Gonzalez, Shigeru Yamano, Soichi Takiguchi, Shogo Takahashi, Chad Brocker, Moshe Levi, Donghwan Kim, Thomas J. Velenosi and Tisha Melia. Their work appears in journals such as Molecular and Cellular Endocrinology, Biological and Pharmaceutical Bulletin, Genes to Cells, Gene and The International Journal of Biochemistry & Cell Biology.
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.