Jun Hata
- Nephrology top 0.5%
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- Blood Pressure and Hypertension Studies 25
- Cardiovascular Health and Disease Prevention 20
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- Diabetes, Cardiovascular Risks, and Lipoproteins 30
- Neurology top 1%
- Periodontics top 1%
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- Acute Ischemic Stroke Management 38
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- Dementia and Cognitive Impairment Research 25
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- Cerebrovascular and Carotid Artery Diseases 17
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- Retinal Diseases and Treatments 15
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- Nutritional Studies and Diet 14
- Co-authors
- Toshiharu NinomiyaYutaka KiyoharaTakanari KitazonoYasufumi DoiDaigo YoshidaYoichiro HirakawaTomoyuki OharaNaoko Mukai
- Journals
- Journal of Atherosclerosis and Thrombosis (14 papers)Stroke (10 papers)Journal of Epidemiology (9 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jun Hata
229 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 151
- Nephrology 736
- Cardiology and Cardiovascular Medicine 2.1k
- Endocrinology, Diabetes and Metabolism 1.4k
- Neurology 693
- Periodontics 341
Countries citing papers authored by Jun Hata
This map shows the geographic impact of Jun Hata'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 Hata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hata more than expected).
Fields of papers citing papers by Jun Hata
This network shows the impact of papers produced by Jun Hata. 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 Hata. The network helps show where Jun Hata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Hata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 41 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 27 | |
| 15 | 2018 | 17 | |
| 16 | 2018 | 20 | |
| 17 | 2018 | 3 | |
| 18 | 2017 | 58 | |
| 19 | 2015 | 50 | |
| 20 | 2013 | 163 |
About Jun Hata
Jun Hata is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Neurology, having authored 236 papers that have together received 8.3k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Blood Pressure and Hypertension Studies (25 papers), Dementia and Cognitive Impairment Research (25 papers), Cardiovascular Health and Disease Prevention (20 papers), Cerebrovascular and Carotid Artery Diseases (17 papers), Retinal Diseases and Treatments (15 papers) and Nutritional Studies and Diet (14 papers). The work is most often cited by research in Nephrology (736 citations), Cardiology and Cardiovascular Medicine (2.1k citations) and Endocrinology, Diabetes and Metabolism (1.4k citations). Jun Hata has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Toshiharu Ninomiya, Yutaka Kiyohara, Takanari Kitazono, Yasufumi Doi, Daigo Yoshida, Yoichiro Hirakawa, Tomoyuki Ohara, Naoko Mukai, Koji Yonemoto and Mitsuo Iida. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Stroke, Journal of Epidemiology, Atherosclerosis and Neurology.
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.