Yuko Okada
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neural Engineering
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
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- Kruppel-like factors research 4
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- Neuroscience and Neuropharmacology Research 12
- Co-authors
- R. Häßler (3 shared papers)I. J. Bak (2 shared papers)Wataru Ogawa (24 shared papers)Margaret E. Rice (2 shared papers)Charles Nicholson (2 shared papers)Masato Kasuga (4 shared papers)Hiroshi Sakaue (3 shared papers)Ryuya Horiuchi (6 shared papers)
- Journals
- Journal of Diabetes Investigation (8 papers)Experimental Brain Research (5 papers)Neuroscience (4 papers)Journal of Neurophysiology (3 papers)Diabetes (3 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Yuko Okada
86 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 904
- Physiology 472
- Neurology 151
- Developmental Neuroscience 72
- Biological Psychiatry 40
Countries citing papers authored by Yuko Okada
This map shows the geographic impact of Yuko Okada'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 Yuko Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Okada more than expected).
Fields of papers citing papers by Yuko Okada
This network shows the impact of papers produced by Yuko Okada. 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 Yuko Okada. The network helps show where Yuko Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Okada, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 357 | |
| 2 | 2005 | 276 | |
| 3 | 1971 | 263 | |
| 4 | 2019 | 146 | |
| 5 | 2011 | 122 | |
| 6 | 2018 | 103 | |
| 7 | 1993 | 97 | |
| 8 | 2002 | 93 | |
| 9 | 2005 | 78 | |
| 10 | 1973 | 65 | |
| 11 | 1979 | 61 | |
| 12 | 2010 | 57 | |
| 13 | 1970 | 55 | |
| 14 | 2003 | 49 | |
| 15 | 1994 | 48 | |
| 16 | 1995 | 45 | |
| 17 | 2009 | 40 | |
| 18 | 2020 | 39 | |
| 19 | 1992 | 39 | |
| 20 | 2011 | 33 |
About Yuko Okada
Yuko Okada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Endocrinology, Diabetes and Metabolism and Physiology, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (7 papers), Diabetes Treatment and Management (7 papers), Biochemical effects in animals (5 papers), Kruppel-like factors research (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (904 citations), Physiology (472 citations), Neurology (151 citations), Developmental Neuroscience (72 citations) and Biological Psychiatry (40 citations). Yuko Okada has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include R. Häßler, I. J. Bak, Wataru Ogawa, Margaret E. Rice, Charles Nicholson, Masato Kasuga, Hiroshi Sakaue, Ryuya Horiuchi, Takehiro Nakamura and W. Precht. Their work appears in journals such as Journal of Diabetes Investigation, Experimental Brain Research, Neuroscience, Journal of Neurophysiology and Diabetes.
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.