Kaori Takada
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Behavioral Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Social Psychology
- Co-authors
- Nobuo IguchiHaruhiko MachidaTeruhiko MatsumiyaHiroshi TakedaMinoru TsujiLiu LiTetsuya SumiyoshiMorimasa Takayama
- Topics
- Cardiomyopathy and Myosin Studies (7 papers)Cardiovascular Function and Risk Factors (5 papers)Cardiovascular Effects of Exercise (4 papers)
In The Last Decade
Kaori Takada
25 papers receiving 285 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 114
- Molecular Biology 42
- Behavioral Neuroscience 39
- Radiology, Nuclear Medicine and Imaging 38
- Social Psychology 32
Countries citing papers authored by Kaori Takada
This map shows the geographic impact of Kaori Takada'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 Kaori Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaori Takada more than expected).
Fields of papers citing papers by Kaori Takada
This network shows the impact of papers produced by Kaori Takada. 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 Kaori Takada. The network helps show where Kaori Takada may publish in the future.
Co-authorship network of co-authors of Kaori Takada
This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Takada. A scholar is included among the top collaborators of Kaori Takada 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 Kaori Takada. Kaori Takada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | [Bispectral index monitoring is useful to reduce total amount of propofol and to obtain immediate recovery after propofol anesthesia]. | 14 |
| 11 | Two cases of fruit allergy with negative serum specific IgE to Betulaceae pollen | 1 |
| 12 | 1 | |
| 13 | 27 | |
| 14 | 3 | |
| 15 | 50 | |
| 16 | [An increase in cerebrospinal fluid ubiquitin in human global brain ischemia--a prognostic marker for anoxic-ischemic encephalopathy]. | 8 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 28 |
About Kaori Takada
Kaori Takada is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 300 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiovascular Effects of Exercise (4 papers). The work is most often cited by research in Behavioral Neuroscience (39 citations), Cardiology and Cardiovascular Medicine (114 citations) and Anesthesiology and Pain Medicine (13 citations). Kaori Takada has collaborated with scholars based in Japan and France. Frequent co-authors include Nobuo Iguchi, Haruhiko Machida, Teruhiko Matsumiya, Hiroshi Takeda, Minoru Tsuji, Liu Li, Tetsuya Sumiyoshi, Morimasa Takayama, Takashi Mito and Kei Takeshita. Their work appears in journals such as Chemical Communications, Brain Research and The American Journal of Cardiology.
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.