Atsushi Sekiya
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Pharmacology top 10%
- Physiology
- Public Health, Environmental and Occupational Health
- Co-authors
- E. M. Vaughan WilliamsHirokazu KawagishiKiyoshi MaedaMitsuyoshi NakashimaYasumichi HaginoRei OtsukaKunihiro MatsushitaHideaki Toyoshima
- Topics
- Quantum and electron transport phenomena (6 papers)Eicosanoids and Hypertension Pharmacology (5 papers)Advancements in Semiconductor Devices and Circuit Design (5 papers)
- Partner nations
- JapanUnited KingdomIndia
In The Last Decade
Atsushi Sekiya
44 papers receiving 812 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 255
- Cardiology and Cardiovascular Medicine 224
- Pharmacology 163
- Physiology 134
- Public Health, Environmental and Occupational Health 121
Countries citing papers authored by Atsushi Sekiya
This map shows the geographic impact of Atsushi Sekiya'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 Atsushi Sekiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Sekiya more than expected).
Fields of papers citing papers by Atsushi Sekiya
This network shows the impact of papers produced by Atsushi Sekiya. 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 Atsushi Sekiya. The network helps show where Atsushi Sekiya may publish in the future.
Co-authorship network of co-authors of Atsushi Sekiya
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Sekiya. A scholar is included among the top collaborators of Atsushi Sekiya 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 Atsushi Sekiya. Atsushi Sekiya 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 | 10 | |
| 3 | 32 | |
| 4 | 24 | |
| 5 | 66 | |
| 6 | 215 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | [Pressor action of propranolol; with special reference to relationship between the pressor action and peripheral vascular tone]. | 1 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 75 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 1 |
About Atsushi Sekiya
Atsushi Sekiya is a scholar working on Anesthesiology and Pain Medicine, Biochemistry and Pharmacology, having authored 53 papers that have together received 904 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (224 citations), Pharmacology (163 citations) and Complementary and Manual Therapy (17 citations). Atsushi Sekiya has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include E. M. Vaughan Williams, Hirokazu Kawagishi, Kiyoshi Maeda, Mitsuyoshi Nakashima, Yasumichi Hagino, Rei Otsuka, Kunihiro Matsushita, Hideaki Toyoshima, Keiko Wada and Koji Tamakoshi. Their work appears in journals such as The Lancet, Tetrahedron and Tetrahedron Letters.
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.