Katsuya Nobuhara

1.5k total citations
57 papers, 1.1k citations indexed

About

Katsuya Nobuhara is a scholar working on Surgery, Epidemiology and Rehabilitation. According to data from OpenAlex, Katsuya Nobuhara has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Surgery, 46 papers in Epidemiology and 7 papers in Rehabilitation. Recurrent topics in Katsuya Nobuhara's work include Shoulder Injury and Treatment (54 papers), Shoulder and Clavicle Injuries (46 papers) and Nerve Injury and Rehabilitation (14 papers). Katsuya Nobuhara is often cited by papers focused on Shoulder Injury and Treatment (54 papers), Shoulder and Clavicle Injuries (46 papers) and Nerve Injury and Rehabilitation (14 papers). Katsuya Nobuhara collaborates with scholars based in Japan, United States and France. Katsuya Nobuhara's co-authors include Takashi Hashimoto, Tetsuo Hamada, Hitoshi Ikeda, H. Inui, Hiroshi Tanaka, Yukihiko Hata, Jun Hashi­moto, Yasuo Nakamura, Takashi Miyamoto and Kazuomi Sugamoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Sports Medicine and Clinical Orthopaedics and Related Research.

In The Last Decade

Katsuya Nobuhara

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katsuya Nobuhara Japan 15 1.0k 806 231 68 63 57 1.1k
G. Lajtai Austria 17 1.1k 1.0× 681 0.8× 308 1.3× 73 1.1× 34 0.5× 24 1.2k
Jonathan B. Ticker United States 17 1.3k 1.3× 1.1k 1.4× 129 0.6× 55 0.8× 37 0.6× 25 1.3k
Jiro Ozaki Japan 12 1.1k 1.1× 839 1.0× 233 1.0× 81 1.2× 39 0.6× 22 1.1k
Siegbert Tempelhof Germany 5 792 0.8× 516 0.6× 279 1.2× 73 1.1× 37 0.6× 10 881
Julien Berhouet France 21 1.3k 1.3× 1.1k 1.4× 127 0.5× 99 1.5× 39 0.6× 87 1.3k
Antonio Vadalà Italy 18 1.3k 1.3× 471 0.6× 497 2.2× 54 0.8× 45 0.7× 46 1.3k
Arthur van Noort Netherlands 19 891 0.9× 554 0.7× 317 1.4× 53 0.8× 20 0.3× 55 991
Maria Apreleva United States 16 1.5k 1.5× 1.2k 1.5× 224 1.0× 109 1.6× 56 0.9× 20 1.6k
Nobutoshi Seki Japan 16 1.8k 1.7× 1.6k 1.9× 225 1.0× 169 2.5× 44 0.7× 23 1.8k
Stefan Rahm Switzerland 20 1.1k 1.1× 528 0.7× 172 0.7× 85 1.3× 22 0.3× 47 1.2k

Countries citing papers authored by Katsuya Nobuhara

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Nobuhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuya Nobuhara

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Nobuhara. A scholar is included among the top collaborators of Katsuya Nobuhara 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 Katsuya Nobuhara. Katsuya Nobuhara 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.
Umehara, Jun, Masahide Yagi, Yasuyuki Ueda, et al.. (2023). Compensation strategy of shoulder synergist muscles is not stereotypical in patients with rotator cuff repair. Journal of Orthopaedic Research®. 42(1). 21–31. 2 indexed citations
2.
Umehara, Jun, et al.. (2023). Mechanical characteristic of supraspinatus muscle changes independent of its size and intramuscular fat in patient with rotator cuff repair. Journal of Electromyography and Kinesiology. 73. 102831–102831. 1 indexed citations
3.
Ueda, Yasuyuki, Hiroshi Tanaka, Yoshiki Takeuchi, et al.. (2022). Agreement in rotator cuff muscles measurement between ultrasonography and magnetic resonance imaging. Asia-Pacific Journal of Sports Medicine Arthroscopy Rehabilitation and Technology. 28. 13–20. 1 indexed citations
4.
Muto, Tomoyuki, et al.. (2022). Factors affecting clinical outcomes after massive rotator cuff repair using a data mining technique. Journal of Shoulder and Elbow Surgery. 31(4). e210–e210. 1 indexed citations
5.
Inui, H., et al.. (2020). Fibrosis in the rotator interval associated with articular vs. bursal side partial-thickness rotator cuff tears. JSES International. 4(4). 900–905. 3 indexed citations
6.
Kawasaki, Takayuki, Hiroshi Tanaka, Kenji Murakami, et al.. (2018). The kinematics of 1-on-1 rugby tackling: a study using 3-dimensional motion analysis. Journal of Shoulder and Elbow Surgery. 28(1). 149–157. 8 indexed citations
7.
Tanaka, Hiroshi, H. Inui, Tomoyuki Muto, et al.. (2018). Estimation of Shoulder Behavior From the Viewpoint of Minimized Shoulder Joint Load Among Adolescent Baseball Pitchers. The American Journal of Sports Medicine. 46(12). 3007–3013. 12 indexed citations
8.
Tanaka, Hiroshi, et al.. (2018). Three-dimensional kinematic analysis of throwing motion focusing on pelvic rotation at stride foot contact. PubMed. 2(1). 115–119. 14 indexed citations
9.
Muto, Tomoyuki, et al.. (2017). Characteristics and Clinical Outcomes in Overhead Sports Athletes after Rotator Cuff Repair. SHILAP Revista de lepidopterología. 2017. 1–5. 8 indexed citations
10.
Tanaka, Hiroshi, et al.. (2014). Analysis of the kinetic chain including the stretching of the chest in baseball pitching. 114(51). 13–18. 1 indexed citations
11.
Inui, H., Takashi Hashimoto, & Katsuya Nobuhara. (2009). External rotation during elevation of the arm. Acta Orthopaedica. 80(4). 451–455. 5 indexed citations
12.
Nakamura, Yasuo, et al.. (2006). The Changes of Posture and Inter Bone Distance in the Glenohumeral Joint during Humeral Elevation. Biomechanisms. 18(0). 229–239. 3 indexed citations
13.
Nakamura, Yasuo, et al.. (2005). Inverse dynamic analysis of shoulder joint load during baseball pitching employing motion capture system. IEICE Technical Report; IEICE Tech. Rep.. 105(304). 23–26.
14.
Nakamura, Yasuo, et al.. (2004). PITCH STYLES AND SHOULDER JOINT LOAD AT BALL RELEASE. Biomechanisms. 17. 123–132. 1 indexed citations
15.
Nakamura, Yasuo, et al.. (2004). IN-VIVO MEASUREMENT OF POSITIONAL DEVIATION OF MARKERS AND SCAPULA MOTION. Biomechanisms. 17. 111–121. 1 indexed citations
16.
Zhu, Jinyu, Qingsheng Zhu, Takashi Hashimoto, & Katsuya Nobuhara. (2004). Morphological changes of roof of subacromial bursa in patients with rotator cuff tear.. PubMed. 7(4). 205–9. 1 indexed citations
17.
Inui, H., Kazuomi Sugamoto, Takashi Miyamoto, et al.. (2002). Glenoid Shape in Atraumatic Posterior Instability of the Shoulder. Clinical Orthopaedics and Related Research. 403(403). 87–92. 48 indexed citations
18.
Sugamoto, Kazuomi, et al.. (2001). Evaluation of three‐dimensional glenoid structure using MRI. Journal of Anatomy. 199(3). 323–328. 41 indexed citations
19.
Hata, Yukihiko, Yukio Nakatsuchi, & Katsuya Nobuhara. (1996). Cinearthrography of the Bankart lesion and anterior capsule elongation. Journal of Shoulder and Elbow Surgery. 5(2). 124–131. 1 indexed citations
20.
Nobuhara, Katsuya, et al.. (1990). Contracture of the Shoulder. Clinical Orthopaedics and Related Research. 254(254). 105–110. 24 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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