Teru Nada
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Co-authors
- Koichi SakabeHisanori ShinoharaYoshiyuki TamuraNobuo FukudaKoichi KishiYoshikazu OharaTakefumi TakahashiRiyo Ogura
- Topics
- Cardiac electrophysiology and arrhythmias (5 papers)Cardiovascular Function and Risk Factors (5 papers)Cardiac Imaging and Diagnostics (4 papers)
- Journals
- The American Journal of CardiologyInternational Journal of CardiologyNutrition Metabolism and Cardiovascular Diseases
- Partner nations
- Japan
In The Last Decade
Teru Nada
13 papers receiving 345 citations
Peers
Comparison fields: 5 of 53
- Cardiology and Cardiovascular Medicine 293
- Radiology, Nuclear Medicine and Imaging 178
- Surgery 148
- Endocrinology, Diabetes and Metabolism 42
- Molecular Biology 17
Countries citing papers authored by Teru Nada
This map shows the geographic impact of Teru Nada'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 Teru Nada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teru Nada more than expected).
Fields of papers citing papers by Teru Nada
This network shows the impact of papers produced by Teru Nada. 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 Teru Nada. The network helps show where Teru Nada may publish in the future.
Co-authorship network of co-authors of Teru Nada
This figure shows the co-authorship network connecting the top 25 collaborators of Teru Nada. A scholar is included among the top collaborators of Teru Nada 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 Teru Nada. Teru Nada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | [Age-related changes in cardiac performance index (TEI index) with special reference to the difference between the ventricles]. | 8 |
| 5 | 16 | |
| 6 | 32 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 206 | |
| 12 | 21 | |
| 13 | Plasma levels of brain natriuretic peptide in various forms of obstruction to the left ventricular outflow tract. | 10 |
| 14 | 16 |
About Teru Nada
Teru Nada is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (293 citations), Radiology, Nuclear Medicine and Imaging (178 citations) and Surgery (148 citations). Teru Nada has collaborated with scholars based in Japan. Frequent co-authors include Koichi Sakabe, Hisanori Shinohara, Yoshiyuki Tamura, Nobuo Fukuda, Koichi Kishi, Yoshikazu Ohara, Takefumi Takahashi, Riyo Ogura, Kenichiro Yuba and Yoshikazu Hiasa. Their work appears in journals such as The American Journal of Cardiology, International Journal of Cardiology and Nutrition Metabolism and Cardiovascular Diseases.
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.