Jun Masuda
Impact in
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- Acute Myocardial Infarction Research
- Cardiovascular Function and Risk Factors
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- Cancer Immunotherapy and Biomarkers
- Bone health and treatments
Papers in ⓘ
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- Acute Myocardial Infarction Research 13
- Cardiovascular Function and Risk Factors 5
- Heart Failure Treatment and Management 3
- Co-authors
- Kaoru Dohi (18 shared papers)Masaaki Ito (15 shared papers)Takashi Tanigawa (13 shared papers)Mashio Nakamura (8 shared papers)Tairo Kurita (10 shared papers)Toshiki Sawai (8 shared papers)Yukinori Ozaki (9 shared papers)Katsutoshi Makino (3 shared papers)
- Journals
- Journal of Clinical Medicine (5 papers)Circulation Journal (5 papers)BMC Cancer (3 papers)Journal of Cardiology (3 papers)Cancer Research (2 papers)
- Partner nations
- Japan
In The Last Decade
Jun Masuda
43 papers receiving 367 citations
Peers
Comparison fields: 5 of 58
- Cardiology and Cardiovascular Medicine 133
- Oncology 104
- Internal Medicine 13
- Radiology, Nuclear Medicine and Imaging 76
- Orthopedics and Sports Medicine 27
Countries citing papers authored by Jun Masuda
This map shows the geographic impact of Jun Masuda'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 Jun Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Masuda more than expected).
Fields of papers citing papers by Jun Masuda
This network shows the impact of papers produced by Jun Masuda. 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 Jun Masuda. The network helps show where Jun Masuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Masuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 48 | |
| 2 | 2019 | 45 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 35 | |
| 5 | 2017 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 14 | |
| 8 | 2018 | 14 | |
| 9 | 2017 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2013 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 5 |
About Jun Masuda
Jun Masuda is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Oncology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 376 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (13 papers), Coronary Interventions and Diagnostics (9 papers), Cardiac Imaging and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cardiovascular Function and Risk Factors (5 papers), HER2/EGFR in Cancer Research (3 papers), Heart Failure Treatment and Management (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (133 citations), Oncology (104 citations), Internal Medicine (13 citations), Radiology, Nuclear Medicine and Imaging (76 citations) and Orthopedics and Sports Medicine (27 citations). Jun Masuda has collaborated with scholars based in Japan. Frequent co-authors include Kaoru Dohi, Masaaki Ito, Takashi Tanigawa, Mashio Nakamura, Tairo Kurita, Toshiki Sawai, Yukinori Ozaki, Katsutoshi Makino, Toshimi Takano and Norikazu Yamada. Their work appears in journals such as Journal of Clinical Medicine, Circulation Journal, BMC Cancer, Journal of Cardiology and Cancer Research.
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.