Ryo Matsuoka

852 total citations
39 papers, 492 citations indexed

About

Ryo Matsuoka is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Ryo Matsuoka has authored 39 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in Ryo Matsuoka's work include Analytical Chemistry and Sensors (5 papers), Electrochemical Analysis and Applications (3 papers) and Electrochemical sensors and biosensors (3 papers). Ryo Matsuoka is often cited by papers focused on Analytical Chemistry and Sensors (5 papers), Electrochemical Analysis and Applications (3 papers) and Electrochemical sensors and biosensors (3 papers). Ryo Matsuoka collaborates with scholars based in Japan, United States and China. Ryo Matsuoka's co-authors include Y Kira, T Ogita, Takashi Nakaoka, Akira Takao, Kumie Kage, Yosuke Tanaka, Takao Shimizu, Takayoshi Nakaoka, Motonao Nakamura and Issei Komuro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Biochemical and Biophysical Research Communications.

In The Last Decade

Ryo Matsuoka

36 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryo Matsuoka Japan 10 213 98 83 76 66 39 492
Xinyang Hu China 11 260 1.2× 105 1.1× 99 1.2× 55 0.7× 90 1.4× 34 564
Ioana Mădălina Fenyo Romania 11 226 1.1× 110 1.1× 60 0.7× 79 1.0× 57 0.9× 24 581
Philippe Caramelle France 10 271 1.3× 113 1.2× 67 0.8× 102 1.3× 24 0.4× 16 603
Ziyi Liu China 14 210 1.0× 97 1.0× 48 0.6× 108 1.4× 85 1.3× 59 720
Mohammed Al‐Hassani United States 13 184 0.9× 91 0.9× 49 0.6× 127 1.7× 39 0.6× 20 552
John J. Jones United States 9 191 0.9× 83 0.8× 39 0.5× 53 0.7× 77 1.2× 14 672
Xuebin Fu United States 13 403 1.9× 82 0.8× 125 1.5× 54 0.7× 98 1.5× 28 667
Bingqing Deng China 15 306 1.4× 91 0.9× 156 1.9× 71 0.9× 68 1.0× 42 642
Antonella Bordin Italy 11 277 1.3× 90 0.9× 216 2.6× 77 1.0× 73 1.1× 24 582
Yuancheng Li China 13 200 0.9× 44 0.4× 78 0.9× 45 0.6× 81 1.2× 44 532

Countries citing papers authored by Ryo Matsuoka

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Matsuoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Matsuoka

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Matsuoka. A scholar is included among the top collaborators of Ryo Matsuoka 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 Ryo Matsuoka. Ryo Matsuoka 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.
Yagi, Hiroki, Hiroshi Akazawa, Qing Liu, et al.. (2025). Inverse Agonist Activity of Angiotensin II Receptor Blocker Is Crucial for Prevention of Progressive Aortic Dilatation in Marfan Syndrome. Arteriosclerosis Thrombosis and Vascular Biology. 46(1). 132–144.
2.
Iida, Hiroki, S Takashima, Ayana Suzuki, et al.. (2025). Allergic bronchopulmonary mycosis induced by pembrolizumab for bladder cancer: A case report. Respiratory Medicine Case Reports. 54. 102179–102179.
3.
Matsuoka, Ryo, et al.. (2024). Enhancing Hyperspectral Pansharpening with Local-Tensor-Nuclear-Norm Regularization. 9285–9289. 1 indexed citations
4.
Yazawa, Hiroyuki, et al.. (2024). Surgical Outcomes and Trends in Incidence of Ectopic Pregnancy. Gynecology and Minimally Invasive Therapy. 13(2). 111–118. 2 indexed citations
5.
Hatano, Masaru, Satoshi Kodera, Ryo Matsuoka, et al.. (2024). Deep Learning to Detect Pulmonary Hypertension from the Chest X-Ray Images of Patients with Systemic Sclerosis. International Heart Journal. 65(6). 1066–1074. 1 indexed citations
6.
Kimura, Masamichi, et al.. (2024). Alpha-fetoprotein-producing gastric cancer with ruptured liver metastasis mimicking hepatocellular carcinoma. Clinical Journal of Gastroenterology. 17(2). 234–239.
7.
Matsuoka, Ryo, et al.. (2023). Trichobezoar effectively treated with direct endoscopic injection of Coca‐Cola: A case report. SHILAP Revista de lepidopterología. 4(1). e283–e283. 1 indexed citations
8.
Inoue, Koh, et al.. (2022). Analysis Method for Motion Factors Related to Joint Contact Forces at the Knee during Walking Using Grad-CAM. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 1327–1331. 1 indexed citations
9.
Kodera, Satoshi, Hiroki Shinohara, Ryo Matsuoka, et al.. (2022). Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning. International Heart Journal. 63(5). 939–947. 15 indexed citations
10.
Katsuki, Masahito, Yasuhiro Suzuki, Keiko Kunitoki, et al.. (2020). Temporal muscle thickness and area with various characteristics data of the patients with aneurysmal subarachnoid hemorrhage who underwent endovascular coiling. SHILAP Revista de lepidopterología. 31. 105715–105715. 7 indexed citations
11.
Matsuoka, Ryo, Hiroshi Akazawa, Satoshi Kodera, & Issei Komuro. (2020). The dawning of the digital era in the management of hypertension. Hypertension Research. 43(11). 1135–1140. 14 indexed citations
12.
Prasad, Ankush, Aditya Kumar, Ryo Matsuoka, et al.. (2017). Real-time monitoring of superoxide anion radical generation in response to wounding: electrochemical study. PeerJ. 5. e3050–e3050. 6 indexed citations
13.
14.
Matsuoka, Ryo, Chihiro Kobayashi, Tatsuo Aikawa, et al.. (2017). A Reactive Oxygen/ZNitrogen Species Sensor Fabricated from an Electrode Modified with a Polymerized Iron Porphyrin and a Polymer Electrolyte Membrane. Analytical Sciences. 33(8). 911–915. 9 indexed citations
15.
Kikuchi, Hiroyuki, et al.. (2016). Scanning Electrochemical Microscopy Imaging during Respiratory Burst in Human Cell. Frontiers in Physiology. 7. 25–25. 12 indexed citations
16.
Matsuoka, Ryo, et al.. (2014). Biomimetic Antithrombogenic Electrochemical Superoxide Anion Radical Sensor. Journal of The Electrochemical Society. 161(6). B163–B166. 7 indexed citations
17.
Hattori, Yujiro, et al.. (2013). Pediatric Mumps With Laryngeal Edema. Pediatric Emergency Care. 29(10). 1104–1106. 2 indexed citations
18.
19.
Wada, Osamu, Nobuya Unno, Ryo Matsuoka, & Yuji Taketani. (1999). A Case Report: Pregnancy Complicated by Blue Rubber‐Bleb Nevus Syndrome. Journal of obstetrics and gynaecology research. 25(4). 261–263. 12 indexed citations
20.
Ogita, T, Yosuke Tanaka, Takayoshi Nakaoka, et al.. (1997). Lysophosphatidylcholine transduces Ca2+ signaling via the platelet-activating factor receptor in macrophages. American Journal of Physiology-Heart and Circulatory Physiology. 272(1). H17–H24. 44 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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