Hiroya Ono

402 total citations
23 papers, 157 citations indexed

About

Hiroya Ono is a scholar working on Molecular Biology, Neurology and Rheumatology. According to data from OpenAlex, Hiroya Ono has authored 23 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 5 papers in Rheumatology. Recurrent topics in Hiroya Ono's work include Muscle Physiology and Disorders (5 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Neural dynamics and brain function (2 papers). Hiroya Ono is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Autoimmune Neurological Disorders and Treatments (2 papers) and Neural dynamics and brain function (2 papers). Hiroya Ono collaborates with scholars based in Japan, United States and India. Hiroya Ono's co-authors include Hitoshi Warita, Rumiko Izumi, Naoki Suzuki, Masashi Aoki, Kensuke Ikeda, Tetsuya Akiyama, Yasuo Kitajima, Masaaki Kato, M. Tateyama and Tetsuya Niihori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Experimental Neurology.

In The Last Decade

Hiroya Ono

21 papers receiving 155 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hiroya Ono Japan 7 69 28 26 25 20 23 157
Gorka Fernández‐Eulate France 8 53 0.8× 30 1.1× 17 0.7× 37 1.5× 19 0.9× 23 140
Mohammad A. Al–Muhaizea Saudi Arabia 10 112 1.6× 29 1.0× 16 0.6× 18 0.7× 45 2.3× 29 191
Hayley Goullée Australia 9 123 1.8× 26 0.9× 26 1.0× 52 2.1× 16 0.8× 17 230
Maria Kiyoko Oyamada Brazil 13 128 1.9× 25 0.9× 19 0.7× 44 1.8× 6 0.3× 35 369
Duygu Gülmez Sevim Türkiye 10 106 1.5× 13 0.5× 14 0.5× 67 2.7× 14 0.7× 44 284
Amy Zhao United States 8 63 0.9× 9 0.3× 28 1.1× 18 0.7× 12 0.6× 19 162
Laura Fionda Italy 8 58 0.8× 21 0.8× 28 1.1× 117 4.7× 13 0.7× 30 185
Anna Janas United States 4 176 2.6× 12 0.4× 28 1.1× 27 1.1× 30 1.5× 6 233
Katerina Vlahos Australia 6 59 0.9× 21 0.8× 11 0.4× 17 0.7× 6 0.3× 11 256
Irena Tsui United States 10 157 2.3× 7 0.3× 28 1.1× 54 2.2× 17 0.8× 29 409

Countries citing papers authored by Hiroya Ono

Since Specialization
Citations

This map shows the geographic impact of Hiroya Ono'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 Hiroya Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroya Ono more than expected).

Fields of papers citing papers by Hiroya Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroya Ono. 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 Hiroya Ono. The network helps show where Hiroya Ono may publish in the future.

Co-authorship network of co-authors of Hiroya Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroya Ono. A scholar is included among the top collaborators of Hiroya Ono 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 Hiroya Ono. Hiroya Ono 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.
Taglietti, Valentina, et al.. (2025). Extensive striated muscle damage in a rat model of Duchenne muscular dystrophy with Dmd exons 10–17 duplication. Skeletal Muscle. 15(1). 16–16. 2 indexed citations
2.
Ono, Hiroya, Masaki Sonoda, Takumi Mitsuhashi, et al.. (2023). Dynamic cortical and tractography atlases of proactive and reactive alpha and high-gamma activities. Brain Communications. 5(2). fcad111–fcad111. 6 indexed citations
3.
Ono, Hiroya, et al.. (2023). Edge-Assisted Multi-User 360-Degree Video Delivery. 4 indexed citations
4.
5.
Numasawa, Takuya, et al.. (2022). Exercise-induced acute rhabdomyolysis with bilateral gluteal, thigh, and leg compartment syndrome: A case report. Journal of Orthopaedic Science. 29(1). 361–365.
6.
Ono, Hiroya, et al.. (2022). Diagnosis and Treatment of Brown Tumor in the Femur Induced by Parathyroid Carcinoma: A Case Report. SHILAP Revista de lepidopterología. 15(3). 1074–1080. 2 indexed citations
7.
Ono, Hiroya, Kanichiro Wada, Atsushi Ono, et al.. (2021). Assessing the Utility of 18F-Fluorodeoxyglucose Positron Emission Tomography in the Differential Diagnosis Between Spinal Schwannomas and Meningiomas. Cureus. 13(10). e18890–e18890. 2 indexed citations
8.
Ono, Hiroya, Masaki Sonoda, Brian H. Silverstein, et al.. (2021). Spontaneous modulations of high-frequency cortical activity. Clinical Neurophysiology. 132(10). 2391–2403. 1 indexed citations
9.
Ogawa, Tetsuya, et al.. (2021). Distinction between benign and malignant soft tissue tumors based on an ultrasonographic evaluation of vascularity and elasticity. Oncology Letters. 21(4). 281–281. 7 indexed citations
10.
Ono, Hiroya, Naoki Suzuki, Shin‐ichiro Kanno, et al.. (2020). AMPK Complex Activation Promotes Sarcolemmal Repair in Dysferlinopathy. Molecular Therapy. 28(4). 1133–1153. 15 indexed citations
11.
Izumi, Rumiko, Toshiaki Takahashi, Naoki Suzuki, et al.. (2020). The genetic profile of dysferlinopathy in a cohort of 209 cases: Genotype–phenotype relationship and a hotspot on the inner DysF domain. Human Mutation. 41(9). 1540–1554. 31 indexed citations
12.
Ono, Hiroya, Yuko Shimizu‐Motohashi, Kazushi Maruo, et al.. (2019). Childhood‐onset cerebellar ataxia in Japan: A questionnaire‐based survey. Brain and Behavior. 9(10). e01392–e01392. 1 indexed citations
13.
Warita, Hitoshi, Naoki Suzuki, Kensuke Ikeda, et al.. (2018). Antagonizing bone morphogenetic protein 4 attenuates disease progression in a rat model of amyotrophic lateral sclerosis. Experimental Neurology. 307. 164–179. 17 indexed citations
14.
Goishi, Keiji, Yuka Torii, Yoshinori Ito, et al.. (2018). Congenital Cytomegalovirus Pneumonitis and Treatment Response Evaluation Using Viral Load during Ganciclovir Therapy: a Case Report. Japanese Journal of Infectious Diseases. 71(4). 309–311. 6 indexed citations
15.
Suzuki, Naoki, Madoka Mori‐Yoshimura, Satoshi Yamashita, et al.. (2016). Multicenter questionnaire survey for sporadic inclusion body myositis in Japan. Orphanet Journal of Rare Diseases. 11(1). 146–146. 31 indexed citations
16.
Ikeda, Kensuke, Hiroshi Kuroda, Hiroya Ono, et al.. (2015). Non‐paraneoplastic Lambert–Eaton myasthenic syndrome presenting dropped head and respiratory failure with normoreflexia. Neurology and Clinical Neuroscience. 3(5). 188–189. 1 indexed citations
17.
Nagasawa, Hikaru, et al.. (2014). A case of cardiac tamponade during the treatment of acute cerebral infarction. Rinsho Shinkeigaku. 54(3). 218–222. 1 indexed citations
18.
Takahashi, Catarina Satie, et al.. (2001). Production Efficiency and Values of Blood Components by Daily Growth in Castrated Japanese Black Cattle. 24(1). 3–8. 1 indexed citations
19.
Sasaki, Hiroshi, Kotaro Konno, Hiroya Ono, Tetsuya Suzuki, & Yutaka Kimura. (1994). Evaluation of a Metabolic Profile Test in Dairy Herds with Decreased Milk Components.. 17(1). 25–30. 1 indexed citations
20.
Yanagisawa, K., et al.. (1973). Genetic Analysis of Developmental Stages of the Cellular Slime Mold Dictyostelium purpureum. Proceedings of the National Academy of Sciences. 70(7). 2003–2005. 8 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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