Jun Shitara
Impact in
-
- Acute Myocardial Infarction Research
- Cardiovascular Function and Risk Factors
- Heart Failure Treatment and Management
Papers in
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- Acute Myocardial Infarction Research 9
- Heart Failure Treatment and Management 4
- Physiology 17
- Obstructive Sleep Apnea Research 13
- Nutrition and Health in Aging 4
- Co-authors
- Hiroyuki Daida (52 shared papers)Takatoshi Kasai (46 shared papers)Ryo Naito (35 shared papers)Katsumi Miyauchi (37 shared papers)Tomotaka Dohi (29 shared papers)Hideki Wada (31 shared papers)Shinichiro Doi (23 shared papers)Manabu Ogita (29 shared papers)
- Journals
- Journal of Cardiology (9 papers)Nutrients (4 papers)The American Journal of Cardiology (4 papers)Heart and Vessels (4 papers)Circulation Journal (3 papers)
- Partner nations
- JapanEgyptUnited States
In The Last Decade
Jun Shitara
65 papers receiving 804 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 205
- Geriatrics and Gerontology 23
- Physiology 139
- Nephrology 38
- Oncology 116
Countries citing papers authored by Jun Shitara
This map shows the geographic impact of Jun Shitara'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 Shitara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shitara more than expected).
Fields of papers citing papers by Jun Shitara
This network shows the impact of papers produced by Jun Shitara. 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 Shitara. The network helps show where Jun Shitara may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shitara, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2018 | 52 | |
| 3 | 2017 | 51 | |
| 4 | 2017 | 47 | |
| 5 | 2019 | 46 | |
| 6 | 2018 | 35 | |
| 7 | 2016 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 30 | |
| 10 | 2016 | 28 | |
| 11 | 2020 | 24 | |
| 12 | 2018 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 12 | |
| 20 | 2020 | 11 |
About Jun Shitara
Jun Shitara is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Emergency Medicine, Surgery and Nephrology, having authored 70 papers that have together received 822 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (13 papers), Acute Myocardial Infarction Research (9 papers), Lipoproteins and Cardiovascular Health (7 papers), Nutrition and Health in Aging (4 papers), Heart Failure Treatment and Management (4 papers), Coronary Interventions and Diagnostics (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Trauma and Emergency Care Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (205 citations), Geriatrics and Gerontology (23 citations), Physiology (139 citations), Nephrology (38 citations) and Oncology (116 citations). Jun Shitara has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Hiroyuki Daida, Takatoshi Kasai, Ryo Naito, Katsumi Miyauchi, Tomotaka Dohi, Hideki Wada, Shinichiro Doi, Manabu Ogita, Hirohisa Endo and Shinya Okazaki. Their work appears in journals such as Journal of Cardiology, Nutrients, The American Journal of Cardiology, Heart and Vessels and Circulation Journal.
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.