Kazumasa Harada
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Physiology top 10%
- Oncology
- Co-authors
- Frank W. SellkeMichael SimonsJohn J. LópezJustin D. PearlmanM. FriedmanElazer R. EdelmanPottumarthi V. PrasadMark G. Hibberd
- Topics
- Heart Failure Treatment and Management (19 papers)Cardiovascular Function and Risk Factors (19 papers)Frailty in Older Adults (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kazumasa Harada
114 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 755
- Cardiology and Cardiovascular Medicine 593
- Surgery 513
- Physiology 240
- Oncology 174
Countries citing papers authored by Kazumasa Harada
This map shows the geographic impact of Kazumasa Harada'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 Kazumasa Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazumasa Harada more than expected).
Fields of papers citing papers by Kazumasa Harada
This network shows the impact of papers produced by Kazumasa Harada. 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 Kazumasa Harada. The network helps show where Kazumasa Harada may publish in the future.
Co-authorship network of co-authors of Kazumasa Harada
This figure shows the co-authorship network connecting the top 25 collaborators of Kazumasa Harada. A scholar is included among the top collaborators of Kazumasa Harada 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 Kazumasa Harada. Kazumasa Harada 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 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 1 | |
| 16 | 43 | |
| 17 | FRS-111 The Correlation between Serum Lipid Levels and Atherosclerotic Degrees is Different in Each Arterial System(Clinical Aspects of Atherosclerosis (H) FRS23,Featured Research Session (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society) | 3 |
| 18 | 16 | |
| 19 | 234 | |
| 20 | 2 |
About Kazumasa Harada
Kazumasa Harada is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (19 papers), Cardiovascular Function and Risk Factors (19 papers) and Frailty in Older Adults (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (593 citations), Geriatrics and Gerontology (94 citations) and Surgery (513 citations). Kazumasa Harada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Frank W. Sellke, Michael Simons, John J. López, Justin D. Pearlman, M. Friedman, Elazer R. Edelman, Pottumarthi V. Prasad, Mark G. Hibberd, Menahem Friedman and Michael L. Chuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.