Takanari Gotoda
- Biochemistry top 0.2%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 22
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 19
- Surgery top 0.5%
- Cholesterol and Lipid Metabolism 32
- Lipoproteins and Cardiovascular Health 16
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- Peroxisome Proliferator-Activated Receptors 23
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- Lipid metabolism and disorders 22
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- Atherosclerosis and Cardiovascular Diseases 16
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- Adipokines, Inflammation, and Metabolic Diseases 14
- Co-authors
- Hitoshi ShimanoShun IshibashiNobuhiro YamadaKenji HaradaJun-ichi OsugaNaoya YahagiYoko IizukaKen Ohashi
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takanari Gotoda
113 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Biochemistry 1.2k
- Endocrinology, Diabetes and Metabolism 1.8k
- Cancer Research 1.2k
- Surgery 3.1k
- Endocrine and Autonomic Systems 415
Countries citing papers authored by Takanari Gotoda
This map shows the geographic impact of Takanari Gotoda'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 Takanari Gotoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takanari Gotoda more than expected).
Fields of papers citing papers by Takanari Gotoda
This network shows the impact of papers produced by Takanari Gotoda. 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 Takanari Gotoda. The network helps show where Takanari Gotoda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takanari Gotoda, 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 | 2012 | 4 | |
| 2 | 2007 | 138 | |
| 3 | 2006 | 203 | |
| 4 | 2005 | 4 | |
| 5 | 2005 | 11 | |
| 6 | 2004 | 102 | |
| 7 | 2002 | 301 | |
| 8 | 2001 | 31 | |
| 9 | 2000 | 221 | |
| 10 | 1997 | 126 | |
| 11 | 1997 | 171 | |
| 12 | 1995 | 21 | |
| 13 | 1995 | 35 | |
| 14 | 1995 | 117 | |
| 15 | 1994 | 1 | |
| 16 | 1994 | 2 | |
| 17 | 1994 | 14 | |
| 18 | 1993 | 2 | |
| 19 | 1992 | 16 | |
| 20 | 1991 | 17 |
About Takanari Gotoda
Takanari Gotoda is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 114 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (32 papers), Peroxisome Proliferator-Activated Receptors (23 papers), Lipid metabolism and disorders (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Cancer, Lipids, and Metabolism (19 papers), Lipoproteins and Cardiovascular Health (16 papers), Atherosclerosis and Cardiovascular Diseases (16 papers) and Adipokines, Inflammation, and Metabolic Diseases (14 papers). The work is most often cited by research in Biochemistry (1.2k citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Cancer Research (1.2k citations). Takanari Gotoda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hitoshi Shimano, Shun Ishibashi, Nobuhiro Yamada, Kenji Harada, Jun-ichi Osuga, Naoya Yahagi, Yoko Iizuka, Ken Ohashi, Yoshiaki Tamura and Hiroaki Okazaki. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.