Ivan J. Antosh

422 total citations
19 papers, 267 citations indexed

About

Ivan J. Antosh is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Ivan J. Antosh has authored 19 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 9 papers in Epidemiology and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Ivan J. Antosh's work include Shoulder and Clavicle Injuries (9 papers), Shoulder Injury and Treatment (8 papers) and Knee injuries and reconstruction techniques (6 papers). Ivan J. Antosh is often cited by papers focused on Shoulder and Clavicle Injuries (9 papers), Shoulder Injury and Treatment (8 papers) and Knee injuries and reconstruction techniques (6 papers). Ivan J. Antosh collaborates with scholars based in United States and Australia. Ivan J. Antosh's co-authors include Brett D. Owens, John M. Tokish, Stephen A. Parada, Edward D. Arrington, Jason A. Grassbaugh, Steven J. Svoboda, Kenneth L. Cameron, E’Stephan J. Garcia, Jeanne C. Patzkowski and Karen Y. Peck and has published in prestigious journals such as Scientific Reports, The American Journal of Sports Medicine and Clinical Orthopaedics and Related Research.

In The Last Decade

Ivan J. Antosh

19 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan J. Antosh United States 9 245 122 86 27 22 19 267
Michael A. Fox United States 11 212 0.9× 139 1.1× 45 0.5× 15 0.6× 33 1.5× 24 262
Giuseppe Sircana Italy 10 253 1.0× 168 1.4× 60 0.7× 51 1.9× 33 1.5× 19 298
Alberto Crimì Italy 10 143 0.6× 62 0.5× 121 1.4× 55 2.0× 18 0.8× 24 258
Nadir Şener Türkiye 12 300 1.2× 52 0.4× 79 0.9× 13 0.5× 14 0.6× 28 325
Heui‐Chul Gwak South Korea 14 384 1.6× 164 1.3× 162 1.9× 50 1.9× 8 0.4× 50 460
Shigenori Miyamoto Japan 10 262 1.1× 179 1.5× 80 0.9× 18 0.7× 15 0.7× 16 294
Daniel Prohaska United States 9 319 1.3× 185 1.5× 57 0.7× 32 1.2× 20 0.9× 21 355
Enrico Visonà Italy 9 302 1.2× 219 1.8× 103 1.2× 40 1.5× 11 0.5× 15 325
Vishal Pai Australia 9 285 1.2× 81 0.7× 106 1.2× 13 0.5× 9 0.4× 16 294
Terrance Sgroi United States 9 325 1.3× 142 1.2× 126 1.5× 42 1.6× 16 0.7× 12 345

Countries citing papers authored by Ivan J. Antosh

Since Specialization
Citations

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

Fields of papers citing papers by Ivan J. Antosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan J. Antosh. 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 Ivan J. Antosh. The network helps show where Ivan J. Antosh may publish in the future.

Co-authorship network of co-authors of Ivan J. Antosh

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan J. Antosh. A scholar is included among the top collaborators of Ivan J. Antosh 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 Ivan J. Antosh. Ivan J. Antosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Feng, Xue, Silvia S. Blemker, Ivan J. Antosh, et al.. (2024). Novel 3D MRI-based volumetric assessment of rotator cuff musculature demonstrates stronger correlation with preoperative functional status when compared to the Goutallier grading scheme. Journal of Shoulder and Elbow Surgery. 33(11). e575–e584. 1 indexed citations
2.
Feng, Xue, et al.. (2023). A Deep Learning Algorithm for Automatic 3D Segmentation of Rotator Cuff Muscle and Fat from Clinical MRI Scans. Radiology Artificial Intelligence. 5(2). e220132–e220132. 20 indexed citations
3.
Blemker, Silvia S., et al.. (2023). Objective analysis of partial three-dimensional rotator cuff muscle volume and fat infiltration across ages and sex from clinical MRI scans. Scientific Reports. 13(1). 14345–14345. 5 indexed citations
4.
5.
Shaw, K. Aaron, et al.. (2021). Parachute-Induced Pectoralis Major Tears in Military Servicemembers: What Is the Functional Recovery?. Orthopaedic Journal of Sports Medicine. 9(6). 941619550–941619550. 1 indexed citations
6.
Lynch, Thomas B., et al.. (2021). Magnetic resonance imaging does not reliably detect Kaplan fiber injury in the setting of anterior cruciate ligament tear. Knee Surgery Sports Traumatology Arthroscopy. 30(5). 1769–1775. 7 indexed citations
7.
Calcei, Jacob G., et al.. (2020). Isolated tears of the sternocostal head of the pectoralis major muscle: surgical technique, clinical outcomes, and a modification of the Tietjen and Bak classification. Journal of Shoulder and Elbow Surgery. 29(7). 1359–1367. 5 indexed citations
8.
Antosh, Ivan J., Kenneth L. Cameron, Matthew Posner, et al.. (2019). Likelihood of Return to Duty Is Low After Meniscal Allograft Transplantation in an Active-duty Military Population. Clinical Orthopaedics and Related Research. 478(4). 722–730. 13 indexed citations
9.
Parada, Stephen A., K. Aaron Shaw, Ivan J. Antosh, et al.. (2019). Magnetic Resonance Imaging Correlates With Computed Tomography for Glenoid Version Calculation Despite Lack of Visibility of Medial Scapula. Arthroscopy The Journal of Arthroscopic and Related Surgery. 36(1). 99–105. 9 indexed citations
10.
Dumont, Guillaume D., et al.. (2019). Joint Space Narrowing in Patients with Femoroacetabular Impingement: A Matched Cohort Study of Military versus Civilian Patients. Military Medicine. 184(11-12). e797–e801. 4 indexed citations
11.
12.
Shaw, K. Aaron, Ivan J. Antosh, Jason A. Grassbaugh, et al.. (2018). Current Practices in Anterior Cruciate Ligament Reconstruction in the U.S. Military: A Survey of the Society of Military Orthopaedic Surgeons. Military Medicine. 184(1-2). e249–e255. 8 indexed citations
13.
14.
Antosh, Ivan J., Steven J. Svoboda, Karen Y. Peck, E’Stephan J. Garcia, & Kenneth L. Cameron. (2018). Change in KOOS and WOMAC Scores in a Young Athletic Population With and Without Anterior Cruciate Ligament Injury. The American Journal of Sports Medicine. 46(7). 1606–1616. 40 indexed citations
15.
Antosh, Ivan J., et al.. (2017). Return to Military Duty After Anterior Cruciate Ligament Reconstruction. Military Medicine. 183(1-2). e83–e89. 34 indexed citations
16.
Antosh, Ivan J., John M. Tokish, & Brett D. Owens. (2016). Posterior Shoulder Instability. Sports Health A Multidisciplinary Approach. 8(6). 520–526. 53 indexed citations
17.
Antosh, Ivan J., et al.. (2010). Magnetic resonance imaging evaluation of adjacent segments after cervical disc arthroplasty: magnet strength and its effect on image quality. Journal of Neurosurgery Spine. 13(6). 722–726. 9 indexed citations
18.
Antosh, Ivan J., Jason A. Grassbaugh, Stephen A. Parada, & Edward D. Arrington. (2009). Pectoralis major tendon repairs in the active-duty population.. PubMed. 38(1). 26–30. 41 indexed citations
19.
Bluman, Eric M. & Ivan J. Antosh. (2008). Technique Tip: Tibiofibular Osteotomy for Increased Access to the Lateral Ankle Joint. Foot & Ankle International. 29(7). 735–738. 6 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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