Koichiro Takasaki
- Cellular and Molecular Neuroscience top 2%
- Surgery top 10%
- Physiology top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Akira SaitoHiromu KawasakiHajime KawasakiKatsutoshi GotoChikako NukiAkiko SaitoRyuichi YamamotoTakuroh Imamura
- Topics
- Neuropeptides and Animal Physiology (19 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers)Receptor Mechanisms and Signaling (15 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Koichiro Takasaki
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 847
- Surgery 458
- Physiology 457
- Molecular Biology 430
- Cardiology and Cardiovascular Medicine 266
Countries citing papers authored by Koichiro Takasaki
This map shows the geographic impact of Koichiro Takasaki'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 Koichiro Takasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Takasaki more than expected).
Fields of papers citing papers by Koichiro Takasaki
This network shows the impact of papers produced by Koichiro Takasaki. 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 Koichiro Takasaki. The network helps show where Koichiro Takasaki may publish in the future.
Co-authorship network of co-authors of Koichiro Takasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Takasaki. A scholar is included among the top collaborators of Koichiro Takasaki 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 Koichiro Takasaki. Koichiro Takasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 110 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 411 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 69 | |
| 19 | 3 | |
| 20 | TACHYPHYLAXIS OF INDIRECTLY ACTING SYMPATHOMIMETIC AMINES:III INFLUENCE OF ACUTELY AND CHRONICALLY ADMINISTERED RESERPINE | 1 |
About Koichiro Takasaki
Koichiro Takasaki is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Biochemistry, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers) and Receptor Mechanisms and Signaling (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (847 citations), Endocrine and Autonomic Systems (170 citations) and Physiology (457 citations). Koichiro Takasaki has collaborated with scholars based in Japan and United States. Frequent co-authors include Akira Saito, Hiromu Kawasaki, Hajime Kawasaki, Katsutoshi Goto, Chikako Nuki, Akiko Saito, Ryuichi Yamamoto, Takuroh Imamura, Akihiko Wada and G. Allen Nickols. Their work appears in journals such as Nature, Circulation Research and Brain 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.