Takeshi Nakae
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Kaoru SugiMahito NoroTakao SakataTetsu YamaguchiTakanori IkedaMitsuaki TakamiNaoki TezukaYoshihisa Enjoji
- Topics
- Cardiac electrophysiology and arrhythmias (9 papers)Cardiac Arrhythmias and Treatments (9 papers)ECG Monitoring and Analysis (5 papers)
- Journals
- Journal of the American College of CardiologyCirculation JournalJournal of Electrocardiology
- Partner nations
- Japan
In The Last Decade
Takeshi Nakae
11 papers receiving 373 citations
Peers
Comparison fields: 5 of 25
- Cardiology and Cardiovascular Medicine 383
- Molecular Biology 159
- Cellular and Molecular Neuroscience 9
- Radiology, Nuclear Medicine and Imaging 9
- Pulmonary and Respiratory Medicine 7
Countries citing papers authored by Takeshi Nakae
This map shows the geographic impact of Takeshi Nakae'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 Takeshi Nakae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Nakae more than expected).
Fields of papers citing papers by Takeshi Nakae
This network shows the impact of papers produced by Takeshi Nakae. 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 Takeshi Nakae. The network helps show where Takeshi Nakae may publish in the future.
Co-authorship network of co-authors of Takeshi Nakae
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Nakae. A scholar is included among the top collaborators of Takeshi Nakae 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 Takeshi Nakae. Takeshi Nakae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | Comparison of Various Prognostic Valuables Including T-Wave Alternans in Predicting Arrhythmic Events During Long-Term Follow-up After Myocardial Infarction | 1 |
| 5 | 7 | |
| 6 | 165 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 27 | |
| 11 | 149 | |
| 12 | 3 | |
| 13 | 7 |
About Takeshi Nakae
Takeshi Nakae is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 388 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (9 papers), Cardiac Arrhythmias and Treatments (9 papers) and ECG Monitoring and Analysis (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (383 citations), Molecular Biology (159 citations) and Emergency Medicine (7 citations). Takeshi Nakae has collaborated with scholars based in Japan. Frequent co-authors include Kaoru Sugi, Mahito Noro, Takao Sakata, Tetsu Yamaguchi, Takanori Ikeda, Mitsuaki Takami, Naoki Tezuka, Yoshihisa Enjoji, Koichi Sakabe and Harumizu Sakurada. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Journal and Journal of Electrocardiology.
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.