Yumiko Watanabe
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Pharmacology top 5%
- Co-authors
- Shintaro FunahashiYutaka SanaiOsamu HayaishiYasuyoshi WatanabeKiyoshi MatsumuraShosaku NumaHirotaka OnoeKohji Kasahara
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Receptor Mechanisms and Signaling (11 papers)Neuropeptides and Animal Physiology (10 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Yumiko Watanabe
131 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 594
- Physiology 395
- Cognitive Neuroscience 337
- Pharmacology 307
Countries citing papers authored by Yumiko Watanabe
This map shows the geographic impact of Yumiko Watanabe'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 Yumiko Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumiko Watanabe more than expected).
Fields of papers citing papers by Yumiko Watanabe
This network shows the impact of papers produced by Yumiko Watanabe. 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 Yumiko Watanabe. The network helps show where Yumiko Watanabe may publish in the future.
Co-authorship network of co-authors of Yumiko Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Yumiko Watanabe. A scholar is included among the top collaborators of Yumiko Watanabe 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 Yumiko Watanabe. Yumiko Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | Fundamental study of quantitative diagnosis for human edema using ultrasound -- Experiments using the agar phantoms with different concentrations of moisture | 0 |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 92 | |
| 13 | 8 | |
| 14 | 36 | |
| 15 | 11 | |
| 16 | 36 | |
| 17 | Interpolating curve with B-spline curvature function | 8 |
| 18 | 26 | |
| 19 | 509 A STUDY ON BODY TEMPERATURE REGULATION AND RESIDENTIAL THERMAL ENVIRONMENTS OF THE ELDERLY : (5) Physiological Response and Thermal Sensation of the Elderly in Various Thermal Environments : | 0 |
| 20 | 41 |
About Yumiko Watanabe
Yumiko Watanabe is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Neurology, having authored 137 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (11 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Biological Psychiatry (163 citations), Behavioral Neuroscience (144 citations) and Endocrine and Autonomic Systems (224 citations). Yumiko Watanabe has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Shintaro Funahashi, Yutaka Sanai, Osamu Hayaishi, Yasuyoshi Watanabe, Kiyoshi Matsumura, Shosaku Numa, Hirotaka Onoe, Kohji Kasahara, Tadashi Yamamoto and Mitsue Notake. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.
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.