Naoki Tamasawa
- Co-authors
- Toshihiro SudaHiroshi MurakamiJun MatsuiKazuo TakebeJutaro TanabeKota MatsukiMinoru YasujimaKazunori Kageyama
- Topics
- Cholesterol and Lipid Metabolism (20 papers)Drug Transport and Resistance Mechanisms (12 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Naoki Tamasawa
59 papers receiving 980 citations
Peers
Comparison fields: 5 of 89
- Surgery 486
- Endocrinology, Diabetes and Metabolism 327
- Molecular Biology 300
- Oncology 195
- Physiology 130
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 of co-authors of Naoki Tamasawa
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Tamasawa. A scholar is included among the top collaborators of Naoki Tamasawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naoki Tamasawa. Naoki Tamasawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 26 | |
| 3 | 13 | |
| 4 | 20 | |
| 5 | [Disorder of cholesterol metabolism: regulation of intracellular cholesterol and membrane trafficking]. | 1 |
| 6 | 42 | |
| 7 | 29 | |
| 8 | 19 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 31 | |
| 13 | 23 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 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]. | 1 |
| 20 | 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) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 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.