Tsuyoshi Sukenari

467 total citations
23 papers, 334 citations indexed

About

Tsuyoshi Sukenari is a scholar working on Surgery, Orthopedics and Sports Medicine and Epidemiology. According to data from OpenAlex, Tsuyoshi Sukenari has authored 23 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 9 papers in Orthopedics and Sports Medicine and 8 papers in Epidemiology. Recurrent topics in Tsuyoshi Sukenari's work include Shoulder Injury and Treatment (18 papers), Shoulder and Clavicle Injuries (8 papers) and Elbow and Forearm Trauma Treatment (6 papers). Tsuyoshi Sukenari is often cited by papers focused on Shoulder Injury and Treatment (18 papers), Shoulder and Clavicle Injuries (8 papers) and Elbow and Forearm Trauma Treatment (6 papers). Tsuyoshi Sukenari collaborates with scholars based in Japan. Tsuyoshi Sukenari's co-authors include Hiroyoshi Fujiwara, Yoshikazu Kida, Toshikazu Kubo, Toru Morihara, Yuji Arai, Ryo Oda, Kazuya Ikoma, Yoshio IWATA, Tatsuya Hojo and Kazuya Seo and has published in prestigious journals such as Journal of Bone and Joint Surgery, The American Journal of Sports Medicine and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Tsuyoshi Sukenari

20 papers receiving 320 citations

Peers

Tsuyoshi Sukenari
Ashok S. Reddy United States
Livio Di Mascio United Kingdom
Simon Wimsey United Kingdom
Dongjun Park South Korea
Rick F. Papandrea United States
Arndt von Campe Switzerland
Ashvin Pimpalnerkar United Kingdom
Janet P. Tate United States
Ashok S. Reddy United States
Tsuyoshi Sukenari
Citations per year, relative to Tsuyoshi Sukenari Tsuyoshi Sukenari (= 1×) peers Ashok S. Reddy

Countries citing papers authored by Tsuyoshi Sukenari

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Sukenari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Sukenari

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Sukenari. A scholar is included among the top collaborators of Tsuyoshi Sukenari 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 Tsuyoshi Sukenari. Tsuyoshi Sukenari 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.
Fujita, Daisuke, Yusuke Kobayashi, Tsuyoshi Sukenari, et al.. (2024). Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2143–2152. 6 indexed citations
2.
Kida, Yoshikazu, et al.. (2024). Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images. Journal of Bone and Joint Surgery. 106(23). 2196–2204. 2 indexed citations
3.
Fujita, Daisuke, Tsuyoshi Sukenari, Yusuke Kobayashi, et al.. (2023). Detection of osteochondritis dissecans using convolutional neural networks for computer-aided diagnosis of baseball elbow. 5. 59–63.
4.
Takeshima, Minoru, Toru Morihara, Hirotoshi Ito, et al.. (2023). Efficacy of biceps-radial-slice magnetic resonance images for the diagnosis of biceps and pulley lesions. Journal of Shoulder and Elbow Surgery. 32(12). 2436–2444. 1 indexed citations
5.
Kobayashi, Yusuke, Yoshikazu Kida, Tsuyoshi Sukenari, et al.. (2022). Effect of quantitative partial valgus stress during baseball pitching on ball velocity and subjective pitch-effort. Journal of Shoulder and Elbow Surgery. 32(1). 168–173. 3 indexed citations
6.
Fujita, Daisuke, Yusuke Kobayashi, Tsuyoshi Sukenari, et al.. (2022). Detection of osteochondritis dissecans in ultrasound images for computer-aided diagnosis of baseball elbow. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1537–1542.
7.
Kobayashi, Yusuke, Yoshikazu Kida, Toru Morihara, et al.. (2021). Healing Effect of Subcutaneous Administration of Granulocyte Colony-Stimulating Factor on Acute Rotator Cuff Injury in a Rat Model. Tissue Engineering Part A. 27(17-18). 1205–1212. 4 indexed citations
8.
9.
Ikoma, Kazuya, Motoyuki Horii, Tsuyoshi Sukenari, et al.. (2018). Usefulness of Sweep Imaging With Fourier Transform for Evaluation of Cortical Bone in Diabetic Rats. Journal of Magnetic Resonance Imaging. 48(2). 389–397. 9 indexed citations
10.
Morihara, Toru, Hiroyoshi Fujiwara, Tsuyoshi Sukenari, et al.. (2017). Effect of Footprint Preparation on Tendon‐to‐Bone Healing: A Histologic and Biomechanical Study in a Rat Rotator Cuff Repair Model. Arthroscopy The Journal of Arthroscopic and Related Surgery. 33(8). 1482–1492. 30 indexed citations
11.
Nagae, Masateru, Yuji Arai, Hitoshi Tonomura, et al.. (2017). A New Method of Measuring the Occipitocervical Angle That Could be Applied as an Intraoperative Indicator During Occipitocervical Fusion. Clinical Spine Surgery A Spine Publication. 30(7). E981–E987. 13 indexed citations
12.
Morihara, Toru, Hiroyoshi Fujiwara, Yuji Arai, et al.. (2017). Validity of radial magnetic resonance imaging to determine the extent of Bankart lesions. Clinical Imaging. 48. 131–138. 2 indexed citations
13.
Morihara, Toru, Tsuyoshi Sukenari, Yoshikazu Kida, et al.. (2017). The effect of gelatin hydrogel sheet with PRP after rotator cuff repair. Journal of Shoulder and Elbow Surgery. 26(4). e111–e111.
14.
Morihara, Toru, Ryo Furukawa, Yoshikazu Kida, et al.. (2016). Arthroscopic decompression with indigo carmine for treating paralabral cysts in the shoulder. Orthopaedics & Traumatology Surgery & Research. 102(8). 1109–1111. 1 indexed citations
15.
Kida, Yoshikazu, Toru Morihara, Tsuyoshi Sukenari, et al.. (2016). Prevalence of posterior elbow problems in Japanese high school baseball players. Journal of Shoulder and Elbow Surgery. 25(9). 1477–1484. 4 indexed citations
16.
Honda, Hirokazu, Toru Morihara, Yuji Arai, et al.. (2015). Clinical application of radial magnetic resonance imaging for evaluation of rotator cuff tear. Orthopaedics & Traumatology Surgery & Research. 101(6). 715–719. 13 indexed citations
17.
Morihara, Toru, Tsuyoshi Sukenari, Yoshikazu Kida, et al.. (2015). Stimulation of Rotator Cuff Repair by Sustained Release of Bone Morphogenetic Protein-7 Using a Gelatin Hydrogel Sheet. Tissue Engineering Part A. 21(13-14). 2025–2033. 44 indexed citations
18.
Kida, Yoshikazu, Toru Morihara, Tatsuya Hojo, et al.. (2014). Prevalence and Clinical Characteristics of Osteochondritis Dissecans of the Humeral Capitellum Among Adolescent Baseball Players. The American Journal of Sports Medicine. 42(8). 1963–1971. 114 indexed citations
19.
Morihara, Toru, Yuji Arai, Hirotoshi Ito, et al.. (2014). Diagnostic accuracy of magnetic resonance imaging for subscapularis tendon tears using radial-slice magnetic resonance images. Journal of Shoulder and Elbow Surgery. 23(11). e283–e290. 50 indexed citations
20.
Hara, Yusuke, Kazuya Ikoma, Masamitsu Kido, et al.. (2014). Diffusion tensor imaging assesses triceps surae dysfunction after achilles tenotomy in rats. Journal of Magnetic Resonance Imaging. 41(6). 1541–1548. 4 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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