Brian M. Grawe

3.0k total citations
98 papers, 1.6k citations indexed

About

Brian M. Grawe is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Brian M. Grawe has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Surgery, 41 papers in Epidemiology and 27 papers in Orthopedics and Sports Medicine. Recurrent topics in Brian M. Grawe's work include Shoulder Injury and Treatment (48 papers), Shoulder and Clavicle Injuries (35 papers) and Knee injuries and reconstruction techniques (22 papers). Brian M. Grawe is often cited by papers focused on Shoulder Injury and Treatment (48 papers), Shoulder and Clavicle Injuries (35 papers) and Knee injuries and reconstruction techniques (22 papers). Brian M. Grawe collaborates with scholars based in United States, Egypt and Switzerland. Brian M. Grawe's co-authors include Adam P. Schumaier, Angelo J. Colosimo, Shital N. Parikh, Gregory D. Myer, Eric J. Wall, Rafael Kakazu, Christopher C. Kaeding, Robert A. Magnussen, Daniel K. Schneider and Robert N. Matar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and The American Journal of Sports Medicine.

In The Last Decade

Brian M. Grawe

86 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian M. Grawe United States 23 1.3k 586 542 345 101 98 1.6k
Nirav K. Pandya United States 26 1.3k 1.0× 647 1.1× 599 1.1× 215 0.6× 109 1.1× 136 1.9k
Michael J. Alaia United States 23 1.5k 1.2× 443 0.8× 598 1.1× 205 0.6× 105 1.0× 177 1.8k
Steven F. DeFroda United States 23 1.6k 1.3× 633 1.1× 774 1.4× 166 0.5× 150 1.5× 202 2.1k
Raymond W. Liu United States 26 1.5k 1.2× 369 0.6× 361 0.7× 314 0.9× 77 0.8× 176 2.0k
Emily J. Curry United States 24 1.1k 0.9× 553 0.9× 418 0.8× 115 0.3× 132 1.3× 74 1.6k
Emily R. Dodwell United States 22 1.3k 1.0× 223 0.4× 574 1.1× 328 1.0× 179 1.8× 62 1.8k
Henry B. Ellis United States 20 1.5k 1.2× 512 0.9× 578 1.1× 235 0.7× 35 0.3× 177 1.7k
Tim Dwyer Canada 29 2.3k 1.8× 746 1.3× 706 1.3× 228 0.7× 226 2.2× 99 2.7k
Elizabeth G. Matzkin United States 24 973 0.8× 317 0.5× 405 0.7× 167 0.5× 182 1.8× 95 1.7k
Sandra E. Klein United States 21 967 0.8× 210 0.4× 868 1.6× 230 0.7× 125 1.2× 60 1.6k

Countries citing papers authored by Brian M. Grawe

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Grawe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Grawe. 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 Brian M. Grawe. The network helps show where Brian M. Grawe may publish in the future.

Co-authorship network of co-authors of Brian M. Grawe

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Grawe. A scholar is included among the top collaborators of Brian M. Grawe 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 Brian M. Grawe. Brian M. Grawe 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.
Grawe, Brian M., et al.. (2024). Adipose Derived Stem Cells in Orthopaedics: History and Current Applications. 5(2). 1–8. 1 indexed citations
2.
3.
Grawe, Brian M., et al.. (2023). A comparison of quantitative and qualitative shoulder range of motion with patient-reported outcomes. Journal of Shoulder and Elbow Surgery. 32(7). 1364–1369. 5 indexed citations
4.
Grawe, Brian M., et al.. (2023). Team Approach: Treatment of Traumatic Dislocations of the Knee. JBJS Reviews. 11(4). 1 indexed citations
5.
Maheshwer, Bhargavi, et al.. (2023). Development of an Orthopedic Surgery Anatomy Curricular Model for Fourth Year Medical Students Using a Modified Delphi Method. Journal of surgical education. 80(10). 1403–1411.
6.
Schumaier, Adam P., et al.. (2023). Interscalene block vs. periarticular liposomal bupivacaine for pain control following reverse shoulder arthroplasty: a randomized trial. Journal of Shoulder and Elbow Surgery. 32(7). 1412–1419. 12 indexed citations
7.
Ng, Mitchell K., et al.. (2022). YouTube videos on shoulder arthroplasty are of low quality, reliability, and content regardless of source. Seminars in Arthroplasty JSES. 33(2). 233–239. 1 indexed citations
8.
Grawe, Brian M., et al.. (2022). Food and Drug Administration–reported complications of anatomic stemless total shoulder arthroplasty vary with implant model. Seminars in Arthroplasty JSES. 32(3). 564–570. 1 indexed citations
9.
Grawe, Brian M., et al.. (2021). Epidemiology of youth and high school American football-related injuries presenting to United States emergency departments: 2010-2019. The Physician and Sportsmedicine. 50(4). 332–337. 4 indexed citations
10.
Divine, Jon G., Thomas Palmer, Joshua A. Hagen, et al.. (2021). Physiological Monitoring Detected Changes During Women's Soccer Anterior Cruciate Ligament Injury. Cureus. 13(5). e14838–e14838. 1 indexed citations
11.
Schumaier, Adam P., et al.. (2021). Does preoperative disease severity influence outcomes in reverse shoulder arthroplasty for cuff tear arthropathy?. Journal of Shoulder and Elbow Surgery. 30(12). 2745–2752. 4 indexed citations
12.
13.
Matar, Robert N., et al.. (2020). Factors that influence inpatient satisfaction after shoulder arthroplasty. Journal of Shoulder and Elbow Surgery. 30(4). e165–e172. 10 indexed citations
14.
Matar, Robert N., et al.. (2020). Return to sport after surgical treatment for posterior shoulder instability: a systematic review. JSES International. 4(4). 797–802. 11 indexed citations
15.
Matar, Robert N., et al.. (2020). Does preoperative diagnosis impact patient outcomes following reverse total shoulder arthroplasty? A systematic review. Journal of Shoulder and Elbow Surgery. 30(6). 1458–1470. 40 indexed citations
16.
Bowers, Katherine, et al.. (2019). Opioid Requirement following Arthroscopic Knee Surgery: Are There Predictive Factors Associated with Long-Term Use. The Journal of Knee Surgery. 34(8). 810–815. 5 indexed citations
17.
Hasselfeld, Kimberly A., et al.. (2018). Risk factors associated with ACL registry compliance: can we predict who will follow-up?. European Journal of Orthopaedic Surgery & Traumatology. 29(3). 645–650. 5 indexed citations
18.
Camp, Christopher L., et al.. (2018). Non-cognitive factors predicting success in orthopedic surgery residency. Orthopedic Reviews. 10(3). 7559–7559. 11 indexed citations
19.
Grawe, Brian M., et al.. (2018). Lateral Collateral Ligament Injury About the Knee: Anatomy, Evaluation, and Management. Journal of the American Academy of Orthopaedic Surgeons. 26(6). e120–e127. 30 indexed citations
20.
Fabricant, Peter D., et al.. (2016). Staged bilateral total shoulder arthroplasty: improved outcomes with less than 6 months between surgeries. Journal of Shoulder and Elbow Surgery. 25(11). 1774–1779. 13 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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