Jun Hata
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Periodontics top 1%
Papers in
-
- Blood Pressure and Hypertension Studies 13
- Cardiovascular Health and Disease Prevention 8
- Epidemiology 32
- Acute Ischemic Stroke Management 17
- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Toshiharu Ninomiya (189 shared papers)Yutaka Kiyohara (96 shared papers)Takanari Kitazono (141 shared papers)Yasufumi Doi (41 shared papers)Daigo Yoshida (76 shared papers)Tomoyuki Ohara (62 shared papers)Yoichiro Hirakawa (77 shared papers)Naoko Mukai (50 shared papers)
- Journals
- Journal of Atherosclerosis and Thrombosis (14 papers)Stroke (10 papers)Journal of Epidemiology (9 papers)Circulation Journal (8 papers)Atherosclerosis (8 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jun Hata
233 papers receiving 8.5k citations
Peers
Comparison fields: 5 of 150
- Nephrology 564
- Periodontics 306
- Cardiology and Cardiovascular Medicine 1.4k
- Neurology 504
- Endocrinology, Diabetes and Metabolism 865
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-authors
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
Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 350 | |
| 2 | 2011 | 336 | |
| 3 | 2005 | 294 | |
| 4 | 2013 | 233 | |
| 5 | 2008 | 179 | |
| 6 | 2007 | 171 | |
| 7 | 2013 | 168 | |
| 8 | 2011 | 167 | |
| 9 | 2008 | 165 | |
| 10 | 2017 | 160 | |
| 11 | 2012 | 145 | |
| 12 | 2013 | 131 | |
| 13 | 2011 | 115 | |
| 14 | 2012 | 109 | |
| 15 | 2017 | 109 | |
| 16 | 2010 | 109 | |
| 17 | 2012 | 105 | |
| 18 | 2005 | 105 | |
| 19 | 2008 | 105 | |
| 20 | 2017 | 102 |
About Jun Hata
Jun Hata is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Psychiatry and Mental health, Surgery and Physiology, having authored 237 papers that have together received 8.7k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (19 papers), Acute Ischemic Stroke Management (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Blood Pressure and Hypertension Studies (13 papers), Cardiovascular Health and Disease Prevention (8 papers), Nutritional Studies and Diet (7 papers), Retinal Diseases and Treatments (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Nephrology (564 citations), Periodontics (306 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Neurology (504 citations) and Endocrinology, Diabetes and Metabolism (865 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, Tomoyuki Ohara, Yoichiro Hirakawa, Naoko Mukai, Koji Yonemoto and Mitsuo Iida. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Stroke, Journal of Epidemiology, Circulation Journal and Atherosclerosis.
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.