Osamu Okazaki
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Pharmacology top 0.2%
- Oncology top 5%
- Pharmacology top 1%
- Co-authors
- Atsushi KuriharaKatsunobu HagiharaToshihiko IkedaMiho KazuiNagy A. FaridYumi NishiyaTomoko IshizukaHideo Hakusui
- Topics
- Pharmacogenetics and Drug Metabolism (33 papers)Drug Transport and Resistance Mechanisms (27 papers)Cardiac Imaging and Diagnostics (21 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Osamu Okazaki
151 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cardiology and Cardiovascular Medicine 1.6k
- Molecular Biology 943
- Pharmacology 923
- Oncology 688
- Pharmacology 680
Countries citing papers authored by Osamu Okazaki
This map shows the geographic impact of Osamu Okazaki'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 Osamu Okazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Osamu Okazaki more than expected).
Fields of papers citing papers by Osamu Okazaki
This network shows the impact of papers produced by Osamu Okazaki. 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 Osamu Okazaki. The network helps show where Osamu Okazaki may publish in the future.
Co-authorship network of co-authors of Osamu Okazaki
This figure shows the co-authorship network connecting the top 25 collaborators of Osamu Okazaki. A scholar is included among the top collaborators of Osamu Okazaki 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 Osamu Okazaki. Osamu Okazaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Nighttime Blood Pressure Phenotype and Cardiovascular Prognosisbreakdown → | 176 |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 25 | |
| 7 | 電話伝送型心電図によりモニターした持続性心房細動患者におけるベプリジルの用量-反応効果 多施設無作為プラセボ対照二重盲検試験(J-BAF試験) | 16 |
| 8 | 57 | |
| 9 | 12 | |
| 10 | 97 | |
| 11 | 55 | |
| 12 | 73 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 冠動脈狭窄を評価するための軽度運動中の 13 N-アンモニア陽電子射出断層撮影による局所心筋血流量の測定 | 2 |
| 17 | EXERCISE INDUCED ST DEPRESSION AND REGIONAL MYOCARDIAL BLOOD FLOW DETERMINED BY POSITRON EMISSION TOMOGRAPHY(PET)USING N-13 AMMONIA | 1 |
| 18 | 45 | |
| 19 | 39 | |
| 20 | Metabolic disposition of DL-8280 the third report; metabolism of l4C-DL-8280 in various animal species | 8 |
About Osamu Okazaki
Osamu Okazaki is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 159 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (33 papers), Drug Transport and Resistance Mechanisms (27 papers) and Cardiac Imaging and Diagnostics (21 papers). The work is most often cited by research in Pharmacology (923 citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Internal Medicine (196 citations). Osamu Okazaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Atsushi Kurihara, Katsunobu Hagihara, Toshihiko Ikeda, Miho Kazui, Nagy A. Farid, Yumi Nishiya, Tomoko Ishizuka, Hideo Hakusui, F. Peter Guengerich and Kenichi Sudo. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Circulation.
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.