Eisuke Hida
Impact in
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- Blood Pressure and Hypertension Studies
- Cardiovascular Health and Disease Prevention
- Heart Rate Variability and Autonomic Control
- Applied Psychology top 10%
Papers in
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- Cardiovascular Health and Disease Prevention 6
- Blood Pressure and Hypertension Studies 2
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- Statistical Methods in Clinical Trials 4
- Statistical Distribution Estimation and Applications 2
- Co-authors
- Toshiro Tango (7 shared papers)Akihiro Nomura (7 shared papers)Tomoyuki Tanigawa (5 shared papers)Kohta Satake (6 shared papers)Noriko Harada (3 shared papers)Kazuomi Kario (3 shared papers)Ayako Okura (2 shared papers)Ayumu Nakashima (12 shared papers)
- Journals
- Journal of Clinical Hypertension (2 papers)BMJ Open (2 papers)International Journal of Cardiology (2 papers)Scientific Reports (2 papers)BMC Public Health (2 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Eisuke Hida
46 papers receiving 868 citations
Peers
Comparison fields: 5 of 106
- Cardiology and Cardiovascular Medicine 207
- Applied Psychology 39
- Health Informatics 10
- Statistics and Probability 60
- Nephrology 35
Countries citing papers authored by Eisuke Hida
This map shows the geographic impact of Eisuke Hida'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 Eisuke Hida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eisuke Hida more than expected).
Fields of papers citing papers by Eisuke Hida
This network shows the impact of papers produced by Eisuke Hida. 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 Eisuke Hida. The network helps show where Eisuke Hida may publish in the future.
Co-authors
The 25 scholars most cited alongside Eisuke Hida, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2015 | 81 | |
| 3 | 2020 | 72 | |
| 4 | 2016 | 62 | |
| 5 | 2019 | 49 | |
| 6 | 2013 | 43 | |
| 7 | 2010 | 36 | |
| 8 | 2021 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 1984 | 24 | |
| 13 | 2020 | 21 | |
| 14 | 2010 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2017 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 14 |
About Eisuke Hida
Eisuke Hida is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Physiology, Surgery and Cognitive Neuroscience, having authored 49 papers that have together received 890 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (6 papers), Smoking Behavior and Cessation (5 papers), Statistical Methods in Clinical Trials (4 papers), Spinal Dysraphism and Malformations (3 papers), Optimal Experimental Design Methods (3 papers), Visual perception and processing mechanisms (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (207 citations), Applied Psychology (39 citations), Health Informatics (10 citations), Statistics and Probability (60 citations) and Nephrology (35 citations). Eisuke Hida has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Toshiro Tango, Akihiro Nomura, Tomoyuki Tanigawa, Kohta Satake, Noriko Harada, Kazuomi Kario, Ayako Okura, Ayumu Nakashima, Shin Suzuki and Hiroki Tateno. Their work appears in journals such as Journal of Clinical Hypertension, BMJ Open, International Journal of Cardiology, Scientific Reports and BMC Public Health.
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.