Naoki Tamasawa
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- Diabetes, Cardiovascular Risks, and Lipoproteins 10
- Hormonal Regulation and Hypertension 6
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol 4
- Surgery top 10%
- Cholesterol and Lipid Metabolism 20
- Lipoproteins and Cardiovascular Health 5
- Clinical Biochemistry top 5%
- Endocrine and Autonomic Systems top 10%
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- Drug Transport and Resistance Mechanisms 12
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- Peroxisome Proliferator-Activated Receptors 9
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- Diet and metabolism studies 4
Naoki Tamasawa
59 papers receiving 980 citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 327
- Behavioral Neuroscience 42
- Surgery 486
- Clinical Biochemistry 73
- Endocrine and Autonomic Systems 60
Countries citing papers authored by Naoki Tamasawa
This map shows the geographic impact of Naoki Tamasawa'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 Naoki Tamasawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Tamasawa more than expected).
Fields of papers citing papers by Naoki Tamasawa
This network shows the impact of papers produced by Naoki Tamasawa. 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 Naoki Tamasawa. The network helps show where Naoki Tamasawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoki Tamasawa, 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 | 2018 | 5 | |
| 2 | 2012 | 26 | |
| 3 | 2011 | 13 | |
| 4 | 2011 | 20 | |
| 5 | [Disorder of cholesterol metabolism: regulation of intracellular cholesterol and membrane trafficking]. | 2010 | 1 |
| 6 | 2009 | 42 | |
| 7 | 2008 | 29 | |
| 8 | 2007 | 19 | |
| 9 | 2004 | 7 | |
| 10 | 2004 | 10 | |
| 11 | 2000 | 7 | |
| 12 | 1998 | 31 | |
| 13 | 1995 | 23 | |
| 14 | 1994 | 19 | |
| 15 | 1990 | 3 | |
| 16 | 1990 | 4 | |
| 17 | 1988 | 2 | |
| 18 | 1988 | 25 | |
| 19 | [A study on the size of molecular aggregates formed by bile acid in human gallbladder bile: with special reference to a comparison of bile treated with chenodeoxycholic acid and with ursodeoxycholic acid]. | 1987 | 1 |
| 20 | 1986 | 2 |
About Naoki Tamasawa
Naoki Tamasawa is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Clinical Biochemistry, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Drug Transport and Resistance Mechanisms (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Hormonal Regulation and Hypertension (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Diet and metabolism studies (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (327 citations), Behavioral Neuroscience (42 citations) and Surgery (486 citations). Naoki Tamasawa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Toshihiro Suda, Hiroshi Murakami, Jun Matsui, Kazuo Takebe, Jutaro Tanabe, Kota Matsuki, Minoru Yasujima, Kazunori Kageyama, Jingzhi Guan and Atsuko Tamasawa. Their work appears in journals such as New England Journal of Medicine, The Lancet 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.