Jun Kawakami

727 total citations
42 papers, 483 citations indexed

About

Jun Kawakami is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Kawakami has authored 42 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 37 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Kawakami's work include Shoulder Injury and Treatment (36 papers), Shoulder and Clavicle Injuries (35 papers) and Nerve Injury and Rehabilitation (18 papers). Jun Kawakami is often cited by papers focused on Shoulder Injury and Treatment (36 papers), Shoulder and Clavicle Injuries (35 papers) and Nerve Injury and Rehabilitation (18 papers). Jun Kawakami collaborates with scholars based in Japan, United States and Canada. Jun Kawakami's co-authors include Nobuyuki Yamamoto, Eiji Itoi, Taku Hatta, Peter N. Chalmers, Eiji Itoi, Robert Z. Tashjian, Hirotaka Sano, Hideaki Nagamoto, Heath B. Henninger and Patrick E. Greis 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

Jun Kawakami

37 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Kawakami Japan 13 434 400 59 35 32 42 483
G Cazzato Italy 11 314 0.7× 225 0.6× 35 0.6× 34 1.0× 31 1.0× 19 369
Vincenzo Campagna Italy 5 407 0.9× 300 0.8× 38 0.6× 8 0.2× 117 3.7× 9 433
Joshua A. Greenspoon United States 18 806 1.9× 710 1.8× 72 1.2× 11 0.3× 79 2.5× 36 827
Jérôme Garret France 14 625 1.4× 554 1.4× 55 0.9× 13 0.4× 48 1.5× 54 644
Nickolas Garbis United States 9 272 0.6× 192 0.5× 23 0.4× 8 0.2× 50 1.6× 47 291
M.A. Ahmad United Kingdom 8 325 0.7× 203 0.5× 36 0.6× 6 0.2× 38 1.2× 12 373
Jean David Werthel France 12 479 1.1× 437 1.1× 40 0.7× 9 0.3× 30 0.9× 30 503
James E. Moravek United States 11 351 0.8× 261 0.7× 23 0.4× 6 0.2× 73 2.3× 13 374
Ruth Delaney United States 10 607 1.4× 498 1.2× 37 0.6× 8 0.2× 105 3.3× 35 624
Kemal Aktuğlu Türkiye 11 496 1.1× 339 0.8× 77 1.3× 26 0.7× 58 1.8× 39 540

Countries citing papers authored by Jun Kawakami

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kawakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kawakami

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kawakami. A scholar is included among the top collaborators of Jun Kawakami 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 Jun Kawakami. Jun Kawakami 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.
Yamamoto, Nobuyuki, et al.. (2025). The conventional magnetic resonance method may overestimate off-track Hill-Sachs lesions. Journal of Shoulder and Elbow Surgery. 34(12). 2678–2684.
2.
Verweij, Lukas P.E., Nobuyuki Yamamoto, Jun Kawakami, et al.. (2024). Statistical shape models that predict native glenoid width based on glenoid height are inaccurate in their current form: a cross-sectional study. Journal of Shoulder and Elbow Surgery. 33(9). 2057–2063.
3.
Yamamoto, Nobuyuki, Norimasa Takahashi, Kenji Okamura, et al.. (2024). Location and size of the reverse Hill-Sachs lesion in patients with traumatic posterior shoulder instability. Journal of Shoulder and Elbow Surgery. 34(1). 88–95. 1 indexed citations
4.
Hatta, Taku, Jun Kawakami, Kenji Kanazawa, et al.. (2023). A survey and biomechanical analysis of the feasibility of the thumb test for determining the cancellous bone quality for stemless shoulder prosthesis. Journal of orthopaedic surgery. 31(3). 783490741–783490741. 1 indexed citations
5.
Yamamoto, Nobuyuki, et al.. (2023). When and how much does the muscle strength recover after arthroscopic superior capsular reconstruction?. Journal of Shoulder and Elbow Surgery. 33(2). 306–311. 5 indexed citations
6.
Ishikawa, Hiroaki, Heath B. Henninger, Jun Kawakami, et al.. (2022). A stabilizing role of the glenoid labrum: the suction cup effect. Journal of Shoulder and Elbow Surgery. 32(5). 1095–1104. 6 indexed citations
7.
Kawakami, Jun, et al.. (2021). Surgical Management of Superior Labral Tears in Athletes: Focus on Biceps Tenodesis. Open Access Journal of Sports Medicine. Volume 12. 61–71. 3 indexed citations
8.
Chalmers, Peter N., Jun Kawakami, Alex G. Dukas, et al.. (2020). Acromial morphology is not associated with rotator cuff tearing or repair healing. Journal of Shoulder and Elbow Surgery. 29(11). 2229–2239. 25 indexed citations
9.
O’Neill, Dillon C., et al.. (2020). Glenoid retroversion associates with deltoid muscle asymmetry in Walch B-type glenohumeral osteoarthritis. JSES International. 5(2). 282–287. 6 indexed citations
10.
Tashjian, Robert Z., et al.. (2020). Effect of complications on outcomes after revision reverse total shoulder arthroplasty. JSES International. 4(3). 662–668. 22 indexed citations
11.
Hatta, Taku, et al.. (2020). Downsizing effect of a modular radial head prosthesis on the lateral collateral ligament of the elbow: A cadaveric study. Clinical Biomechanics. 80. 105140–105140. 1 indexed citations
12.
Yamamoto, Nobuyuki, Jun Kawakami, Taku Hatta, & Eiji Itoi. (2019). Effect of subcritical glenoid bone loss on activities of daily living in patients with anterior shoulder instability. Orthopaedics & Traumatology Surgery & Research. 105(8). 1467–1470. 41 indexed citations
13.
14.
Henninger, Heath B., et al.. (2019). The Muscle Cross-sectional Area on MRI of the Shoulder Can Predict Muscle Volume: An MRI Study in Cadavers. Clinical Orthopaedics and Related Research. 478(4). 871–883. 22 indexed citations
15.
Yamamoto, Nobuyuki, et al.. (2019). Comparison of best-fit circle versus contralateral comparison methods to quantify glenoid bone defect. Journal of Shoulder and Elbow Surgery. 29(3). 502–507. 20 indexed citations
16.
Hatta, Taku, et al.. (2018). Critical shoulder angle in an East Asian population: correlation to the incidence of rotator cuff tear and glenohumeral osteoarthritis. Journal of Shoulder and Elbow Surgery. 27(9). 1602–1606. 53 indexed citations
17.
Komatsu, Takashi, Jun Kawakami, Yūji Takahashi, et al.. (2017). CHADS2 and modified CHA2DS2‐VASc scores for the prediction of congestive heart failure in patients with nonvalvular atrial fibrillation. Journal of Arrhythmia. 33(5). 488–493. 10 indexed citations
18.
Yamamoto, Nobuyuki, Jun Kawakami, Hideaki Nagamoto, et al.. (2017). Contact pressure of the coracoacromial arch in shoulders with joint contracture: A cadaveric study. Journal of Orthopaedic Science. 22(6). 1031–1041.
19.
20.
Yamamoto, Nobuyuki, et al.. (2017). The relationship between the glenoid track and the range of shoulder motion: A cadaver study. Orthopaedics & Traumatology Surgery & Research. 104(6). 793–796. 9 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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