Eiichi Ueno
Impact in
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- Adipose Tissue and Metabolism
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Protein Kinase Regulation and GTPase Signaling 3
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- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Isao Usui (7 shared papers)Minoru Iwata (7 shared papers)Tetsuro Haruta (7 shared papers)Toshiyasu Sasaoka (7 shared papers)Masashi Kobayashi (6 shared papers)Atsuko Takano (6 shared papers)Tatsuhito Uno (6 shared papers)Junko Kawahara (4 shared papers)
- Journals
- Diabetes (2 papers)Hormone and Metabolic Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Clinical Laboratory Analysis (2 papers)Journal of Thrombosis and Thrombolysis (1 paper)
- Partner nations
- Japan
In The Last Decade
Eiichi Ueno
14 papers receiving 337 citations
Peers
Comparison fields: 5 of 62
- Physiology 107
- Endocrinology, Diabetes and Metabolism 65
- Cell Biology 56
- Molecular Biology 210
- Endocrine and Autonomic Systems 19
Countries citing papers authored by Eiichi Ueno
This map shows the geographic impact of Eiichi Ueno'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 Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Ueno more than expected).
Fields of papers citing papers by Eiichi Ueno
This network shows the impact of papers produced by Eiichi Ueno. 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 Ueno. The network helps show where Eiichi Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiichi Ueno, 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 | 2001 | 97 | |
| 2 | 2001 | 81 | |
| 3 | 1998 | 73 | |
| 4 | 2000 | 23 | |
| 5 | 1998 | 19 | |
| 6 | 1997 | 18 | |
| 7 | 1999 | 9 | |
| 8 | 2001 | 7 | |
| 9 | 2016 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 1998 | 1 | |
| 14 | 1997 | 1 |
About Eiichi Ueno
Eiichi Ueno is a scholar working on Molecular Biology, Immunology, Physiology, Surgery and Epidemiology, having authored 14 papers that have together received 344 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Syphilis Diagnosis and Treatment (2 papers), Virology and Viral Diseases (2 papers) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Physiology (107 citations), Endocrinology, Diabetes and Metabolism (65 citations), Cell Biology (56 citations), Molecular Biology (210 citations) and Endocrine and Autonomic Systems (19 citations). Eiichi Ueno has collaborated with scholars based in Japan. Frequent co-authors include Isao Usui, Minoru Iwata, Tetsuro Haruta, Toshiyasu Sasaoka, Masashi Kobayashi, Atsuko Takano, Tatsuhito Uno, Junko Kawahara, Osamu Ishibashi and Yasumitsu Takata. Their work appears in journals such as Diabetes, Hormone and Metabolic Research, Biochemical and Biophysical Research Communications, Journal of Clinical Laboratory Analysis and Journal of Thrombosis and Thrombolysis.
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.