Yasuko Imagawa
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 10%
- Co-authors
- Shigeru OkuyamaToshihiro IchikiAgnes FogoChiyo ShiotaBrigid L.M. HoganIekuni IchikawaPatricia A. LaboskyFumio Niimura
- Topics
- Receptor Mechanisms and Signaling (6 papers)Pharmacological Receptor Mechanisms and Effects (5 papers)Neuropeptides and Animal Physiology (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Partner nations
- JapanUnited States
In The Last Decade
Yasuko Imagawa
12 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 704
- Molecular Biology 616
- Endocrinology, Diabetes and Metabolism 456
- Cellular and Molecular Neuroscience 233
- Pharmacology 146
Countries citing papers authored by Yasuko Imagawa
This map shows the geographic impact of Yasuko Imagawa'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 Yasuko Imagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuko Imagawa more than expected).
Fields of papers citing papers by Yasuko Imagawa
This network shows the impact of papers produced by Yasuko Imagawa. 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 Yasuko Imagawa. The network helps show where Yasuko Imagawa may publish in the future.
Co-authorship network of co-authors of Yasuko Imagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuko Imagawa. A scholar is included among the top collaborators of Yasuko Imagawa 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 Yasuko Imagawa. Yasuko Imagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 96 | |
| 2 | 25 | |
| 3 | 17 | |
| 4 | Effects on blood pressure and exploratory behaviour of mice lacking angiotensin II type-2 receptorbreakdown → | 730 |
| 5 | 36 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 106 | |
| 10 | 9 | |
| 11 | The effect of VA-045 on disturbance in consciousness in experimental animal models. | 6 |
| 12 | 1 |
About Yasuko Imagawa
Yasuko Imagawa is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (704 citations), Endocrinology, Diabetes and Metabolism (456 citations) and Cellular and Molecular Neuroscience (233 citations). Yasuko Imagawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigeru Okuyama, Toshihiro Ichiki, Agnes Fogo, Chiyo Shiota, Brigid L.M. Hogan, Iekuni Ichikawa, Patricia A. Labosky, Fumio Niimura, Takashi Sakagawa and Shigeyuki Chaki. Their work appears in journals such as Nature, Brain Research and Journal of Pharmacology and Experimental Therapeutics.
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.