Junya Takagawa
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery top 10%
- Genetics top 5%
- Biomaterials top 10%
- Co-authors
- William GrossmanMatthew L. SpringerRichard E. SieversYerem YeghiazariansYan ZhangMaelene L. WongNeel K. KapasiHua Su
- Topics
- Cardiovascular Function and Risk Factors (11 papers)Heart Rate Variability and Autonomic Control (10 papers)Cardiovascular and exercise physiology (7 papers)
- Journals
- Journal of the American College of CardiologyBiochemical and Biophysical Research CommunicationsJournal of Applied Physiology
- Partner nations
- JapanUnited States
In The Last Decade
Junya Takagawa
30 papers receiving 888 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 453
- Molecular Biology 296
- Surgery 290
- Genetics 193
- Biomaterials 128
Countries citing papers authored by Junya Takagawa
This map shows the geographic impact of Junya Takagawa'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 Junya Takagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Takagawa more than expected).
Fields of papers citing papers by Junya Takagawa
This network shows the impact of papers produced by Junya Takagawa. 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 Junya Takagawa. The network helps show where Junya Takagawa may publish in the future.
Co-authorship network of co-authors of Junya Takagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Junya Takagawa. A scholar is included among the top collaborators of Junya Takagawa 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 Junya Takagawa. Junya Takagawa 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 | 1 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 21 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 39 | |
| 12 | 80 | |
| 13 | 112 | |
| 14 | 30 | |
| 15 | 265 | |
| 16 | 79 | |
| 17 | 15 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | 13 |
About Junya Takagawa
Junya Takagawa is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Genetics, having authored 32 papers that have together received 893 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (11 papers), Heart Rate Variability and Autonomic Control (10 papers) and Cardiovascular and exercise physiology (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (453 citations), Genetics (193 citations) and Biomaterials (128 citations). Junya Takagawa has collaborated with scholars based in Japan and United States. Frequent co-authors include William Grossman, Matthew L. Springer, Richard E. Sievers, Yerem Yeghiazarians, Yan Zhang, Maelene L. Wong, Neel K. Kapasi, Hua Su, Janice Arakawa‐Hoyt and Yan Wang. Their work appears in journals such as Journal of the American College of Cardiology, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.
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.