Eiichi Maeda
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
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- Adipose Tissue and Metabolism
Papers in
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- Peroxisome Proliferator-Activated Receptors 5
- Surgery 10
- Cholesterol and Lipid Metabolism 5
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Gen Yoshino (18 shared papers)Masato Kasuga (12 shared papers)Koh‐ichi Nagata (8 shared papers)Yukio Murata (7 shared papers)Tsutomu Kazumi (8 shared papers)Hiroyuki Mori (1 shared paper)Hideki Okazawa (1 shared paper)Takashi Matozaki (1 shared paper)
In The Last Decade
Eiichi Maeda
29 papers receiving 279 citations
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 80
- Physiology 82
- Clinical Biochemistry 20
- Biochemistry 21
- Cardiology and Cardiovascular Medicine 51
Countries citing papers authored by Eiichi Maeda
This map shows the geographic impact of Eiichi Maeda'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 Eiichi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Maeda more than expected).
Fields of papers citing papers by Eiichi Maeda
This network shows the impact of papers produced by Eiichi Maeda. 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 Eiichi Maeda. The network helps show where Eiichi Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiichi Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 36 | |
| 2 | 1991 | 32 | |
| 3 | 2001 | 29 | |
| 4 | 1995 | 22 | |
| 5 | 1993 | 18 | |
| 6 | 1992 | 18 | |
| 7 | 2007 | 15 | |
| 8 | 2005 | 12 | |
| 9 | 1993 | 11 | |
| 10 | 1992 | 9 | |
| 11 | 1992 | 9 | |
| 12 | 1996 | 9 | |
| 13 | Effect of microsomal triglyceride transfer protein gene polymorphism in the promoter region on dyslipidemia in type 2 diabetic subjects. | 2003 | 8 |
| 14 | 1998 | 7 | |
| 15 | 1991 | 7 | |
| 16 | 1997 | 7 | |
| 17 | 2013 | 6 | |
| 18 | Noninvasive temperature measurement during moxibustion using MRI | 2011 | 5 |
| 19 | [Diabetes mellitus as a risk factor for arteriosclerosis]. | 1993 | 4 |
| 20 | 1989 | 4 |
About Eiichi Maeda
Eiichi Maeda is a scholar working on Molecular Biology, Surgery, Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 30 papers that have together received 290 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (6 papers), Adipose Tissue and Metabolism (5 papers), Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cancer, Lipids, and Metabolism (4 papers), Lipid metabolism and biosynthesis (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (80 citations), Physiology (82 citations), Clinical Biochemistry (20 citations), Biochemistry (21 citations) and Cardiology and Cardiovascular Medicine (51 citations). Eiichi Maeda has collaborated with scholars based in Japan, China and Spain. Frequent co-authors include Gen Yoshino, Masato Kasuga, Koh‐ichi Nagata, Yukio Murata, Tsutomu Kazumi, Hiroyuki Mori, Hideki Okazawa, Takashi Matozaki, Yasuo Akanuma and Tsutomu Hirano. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Metabolism, Biochemical and Biophysical Research Communications and Coronary Artery Disease.
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.