Eisuke Hida

1.4k total citations
55 papers, 938 citations indexed

About

Eisuke Hida is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eisuke Hida has authored 55 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 11 papers in Cognitive Neuroscience and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eisuke Hida's work include Blood Pressure and Hypertension Studies (11 papers), Cardiovascular Health and Disease Prevention (11 papers) and Visual perception and processing mechanisms (8 papers). Eisuke Hida is often cited by papers focused on Blood Pressure and Hypertension Studies (11 papers), Cardiovascular Health and Disease Prevention (11 papers) and Visual perception and processing mechanisms (8 papers). Eisuke Hida collaborates with scholars based in Japan, United States and Indonesia. Eisuke Hida's co-authors include Toshiro Tango, Akihiro Nomura, Tomoyuki Tanigawa, Kén-Ichi Naka, Noriko Harada, Kohta Satake, Kazuomi Kario, Ayako Okura, Ayumu Nakashima and Burgess N. Christensen and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Eisuke Hida

53 papers receiving 917 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eisuke Hida 266 151 129 124 107 55 938
A Mead 510 1.9× 133 0.9× 91 0.7× 86 0.7× 180 1.7× 18 1.0k
Norbert Benda 244 0.9× 179 1.2× 157 1.2× 97 0.8× 228 2.1× 83 1.9k
Yunxia Wang 258 1.0× 293 1.9× 99 0.8× 77 0.6× 91 0.9× 48 1.5k
Zhongrui Yan 121 0.5× 95 0.6× 79 0.6× 74 0.6× 84 0.8× 53 972
Richard Charnigo 402 1.5× 157 1.0× 124 1.0× 154 1.2× 72 0.7× 46 1.3k
Roger Kerry 150 0.6× 100 0.7× 76 0.6× 110 0.9× 127 1.2× 77 1.3k
Elizabeth O. Lillie 532 2.0× 224 1.5× 119 0.9× 49 0.4× 66 0.6× 18 1.4k
Gonçalo S. Duarte 103 0.4× 85 0.6× 76 0.6× 56 0.5× 101 0.9× 54 1.2k
Palmira Bernocchi 347 1.3× 179 1.2× 139 1.1× 145 1.2× 179 1.7× 49 1.2k

Countries citing papers authored by Eisuke Hida

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eisuke Hida

This figure shows the co-authorship network connecting the top 25 collaborators of Eisuke Hida. A scholar is included among the top collaborators of Eisuke Hida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eisuke Hida. Eisuke Hida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
So, Ryuhei, Kazuhiro Nouso, Sachio Matsushita, et al.. (2025). Efficacy and safety of a digital therapeutic for alcohol dependence: A multicenter, open‐label, randomized controlled trial. Psychiatry and Clinical Neurosciences. 79(10). 667–676.
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Nakamori, Masayuki, Daisaku Nakatani, Toshio Saito, et al.. (2023). Erythromycin for myotonic dystrophy type 1: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. EClinicalMedicine. 67. 102390–102390. 7 indexed citations
4.
Sato, Masaya, Masatoshi Akamatsu, Toshihide Shima, et al.. (2022). Impact of a Novel Digital Therapeutics System on Nonalcoholic Steatohepatitis: The NASH App Clinical Trial. The American Journal of Gastroenterology. 118(8). 1365–1372. 9 indexed citations
5.
Kario, Kazuomi, Akihiro Nomura, Noriko Harada, et al.. (2021). Digital therapeutics for essential hypertension using a smartphone application: A randomized, open‐label, multicenter pilot study. Journal of Clinical Hypertension. 23(5). 923–934. 27 indexed citations
6.
Yamaji, Takayuki, Takahiro Harada, Yu Hashimoto, et al.. (2021). Inconvenient relationship of haemoglobin A1c level with endothelial function in type 2 diabetes in a cross-sectional study. BMJ Open. 11(6). e045415–e045415. 3 indexed citations
7.
Masaki, Katsunori, Hiroki Tateno, Akihiro Nomura, et al.. (2020). A randomized controlled trial of a smoking cessation smartphone application with a carbon monoxide checker. npj Digital Medicine. 3(1). 35–35. 69 indexed citations
8.
Takaeko, Yuji, Shogo Matsui, Masato Kajikawa, et al.. (2020). Relationship between high-density lipoprotein cholesterol levels and endothelial function in women: a cross-sectional study. BMJ Open. 10(7). e038121–e038121. 5 indexed citations
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Nomura, Akihiro, Tomoyuki Tanigawa, Yasushi Fukushima, et al.. (2019). Clinical Efficacy of Telemedicine Compared to Face-to-Face Clinic Visits for Smoking Cessation: Multicenter Open-Label Randomized Controlled Noninferiority Trial. Journal of Medical Internet Research. 21(4). e13520–e13520. 46 indexed citations
11.
Takaeko, Yuji, Shogo Matsui, Masato Kajikawa, et al.. (2019). Association of extremely high levels of high-density lipoprotein cholesterol with endothelial dysfunction in men. Journal of clinical lipidology. 13(4). 664–672.e1. 18 indexed citations
12.
Nomura, Akihiro, Hiroki Tateno, Katsunori Masaki, et al.. (2018). A Novel Smoking Cessation Smartphone App Integrated With a Mobile Carbon Monoxide Checker for Smoking Cessation Treatment: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 8(2). e12252–e12252. 14 indexed citations
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Naito, Yutaka, Naohide Oue, Manabu Yamamoto, et al.. (2015). Characteristic <b><i>miR-24</i></b> Expression in Gastric Cancers among Atomic Bomb Survivors. Pathobiology. 82(2). 68–75. 7 indexed citations
15.
Kokubo, Yoshihiro, Chiaki Yokota, Eisuke Hida, et al.. (2015). Effect of Plasma Fibrinogen, High-Sensitive C-Reactive Protein, and Cigarette Smoking on Carotid Atherosclerosis: The Suita Study. Journal of Stroke and Cerebrovascular Diseases. 24(10). 2385–2389. 24 indexed citations
16.
Hida, Eisuke & Toshiro Tango. (2013). Three-Arm Noninferiority Trials with a Prespecified Margin for Inference of the Difference in the Proportions of Binary Endpoints. Journal of Biopharmaceutical Statistics. 23(4). 774–789. 12 indexed citations
17.
Hida, Eisuke. (2011). Report on the utilization of the NIPH clinical trial information search portal site for clinical trials. 60. 13–17. 1 indexed citations
18.
Hida, Eisuke & Toshiro Tango. (2010). On the three‐arm non‐inferiority trial including a placebo with a prespecified margin. Statistics in Medicine. 30(3). 224–231. 35 indexed citations
19.
Okamoto, Hiroaki, et al.. (1999). MT neurons in the macaque exhibited two types of bimodal direction tuning as predicted by a model for visual motion detection. Vision Research. 39(20). 3465–3479. 25 indexed citations
20.
Hida, Eisuke, et al.. (1998). Neural Correlate for the Perception of Two-Directional Transparent Visual Flow. International Conference on Neural Information Processing. 1551–1554. 3 indexed citations

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.

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