Naoya Yahagi
- Biochemistry top 0.05%
- Lipid metabolism and biosynthesis 18
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 18
- Surgery top 0.5%
- Cholesterol and Lipid Metabolism 43
- Pancreatic function and diabetes 14
- Physiology top 1%
- Adipose Tissue and Metabolism 17
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- Peroxisome Proliferator-Activated Receptors 30
- Metabolism, Diabetes, and Cancer 9
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- Drug Transport and Resistance Mechanisms 9
- Co-authors
- Nobuhiro YamadaHitoshi ShimanoJun-ichi OsugaShun IshibashiKen OhashiTakashi MatsuzakaYoko IizukaYoshiaki Tamura
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (24 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Naoya Yahagi
117 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Biochemistry 1.9k
- Cancer Research 1.5k
- Endocrinology, Diabetes and Metabolism 1.5k
- Surgery 3.5k
- Physiology 2.0k
Countries citing papers authored by Naoya Yahagi
This map shows the geographic impact of Naoya Yahagi'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 Naoya Yahagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Yahagi more than expected).
Fields of papers citing papers by Naoya Yahagi
This network shows the impact of papers produced by Naoya Yahagi. 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 Naoya Yahagi. The network helps show where Naoya Yahagi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoya Yahagi, 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 | 38 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 3 | |
| 5 | 2015 | 8 | |
| 6 | 2011 | 12 | |
| 7 | 2010 | 7 | |
| 8 | 2008 | 93 | |
| 9 | 2008 | 26 | |
| 10 | 2008 | 17 | |
| 11 | 2005 | 205 | |
| 12 | 2005 | 127 | |
| 13 | 2003 | 150 | |
| 14 | 2002 | 301 | |
| 15 | 2001 | 1 | |
| 16 | 2001 | 3 | |
| 17 | 2001 | 31 | |
| 18 | 2000 | 29 | |
| 19 | 1999 | 3 | |
| 20 | 1997 | 24 |
About Naoya Yahagi
Naoya Yahagi is a scholar working on Biochemistry, Cancer Research and Surgery, having authored 121 papers that have together received 9.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (43 papers), Peroxisome Proliferator-Activated Receptors (30 papers), Cancer, Lipids, and Metabolism (18 papers), Lipid metabolism and biosynthesis (18 papers), Adipose Tissue and Metabolism (17 papers), Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (9 papers) and Drug Transport and Resistance Mechanisms (9 papers). The work is most often cited by research in Biochemistry (1.9k citations), Cancer Research (1.5k citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Naoya Yahagi has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Nobuhiro Yamada, Hitoshi Shimano, Jun-ichi Osuga, Shun Ishibashi, Ken Ohashi, Takashi Matsuzaka, Yoko Iizuka, Yoshiaki Tamura, Takanari Gotoda and Hiroaki Okazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.