Matthew R. Akelman

478 total citations
17 papers, 347 citations indexed

About

Matthew R. Akelman is a scholar working on Surgery, Rheumatology and Orthopedics and Sports Medicine. According to data from OpenAlex, Matthew R. Akelman has authored 17 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 7 papers in Rheumatology and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Matthew R. Akelman's work include Knee injuries and reconstruction techniques (14 papers), Total Knee Arthroplasty Outcomes (12 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Matthew R. Akelman is often cited by papers focused on Knee injuries and reconstruction techniques (14 papers), Total Knee Arthroplasty Outcomes (12 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Matthew R. Akelman collaborates with scholars based in United States and United Kingdom. Matthew R. Akelman's co-authors include Braden C. Fleming, Gary J. Badger, Erin Teeple, Gregory D. Jay, Robert M. Shalvoy, Michael J. Hulstyn, Ling Zhang, Khaled A. Elsaid, Alison M. Biercevicz and Paul D. Fadale and has published in prestigious journals such as The American Journal of Sports Medicine, Journal of Biomechanics and Journal of Orthopaedic Research®.

In The Last Decade

Matthew R. Akelman

16 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew R. Akelman United States 10 240 168 118 46 23 17 347
Takatomo Mine Japan 9 195 0.8× 137 0.8× 72 0.6× 31 0.7× 38 1.7× 35 301
Richard Carey‐Smith Australia 11 243 1.0× 161 1.0× 117 1.0× 55 1.2× 17 0.7× 21 358
Alexander Barié Germany 11 379 1.6× 122 0.7× 215 1.8× 29 0.6× 20 0.9× 24 493
Taisuke Fukawa Japan 11 179 0.7× 169 1.0× 134 1.1× 56 1.2× 27 1.2× 20 351
S. Hada Japan 11 208 0.9× 250 1.5× 106 0.9× 84 1.8× 27 1.2× 48 399
Toshikazu Tanaka Japan 15 390 1.6× 94 0.6× 157 1.3× 84 1.8× 32 1.4× 40 492
J Béjui France 10 350 1.5× 142 0.8× 155 1.3× 75 1.6× 19 0.8× 31 521
Fatemeh Malekipour Australia 9 160 0.7× 101 0.6× 217 1.8× 132 2.9× 43 1.9× 22 374
Jussi Haapala Finland 10 350 1.5× 211 1.3× 155 1.3× 78 1.7× 23 1.0× 12 538
Hyoung‐Yeon Seo South Korea 10 508 2.1× 117 0.7× 165 1.4× 80 1.7× 34 1.5× 19 626

Countries citing papers authored by Matthew R. Akelman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Akelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Akelman. 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 Matthew R. Akelman. The network helps show where Matthew R. Akelman may publish in the future.

Co-authorship network of co-authors of Matthew R. Akelman

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

All Works

17 of 17 papers shown
1.
2.
Akelman, Matthew R., et al.. (2021). Quadriceps tendon autograft is an effective alternative graft for posterior cruciate ligament reconstruction in isolated or multiligament injuries: a systematic review. Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine. 6(4). 220–225. 3 indexed citations
3.
Rosas, Samuel, Michael S. Schallmo, Anirudh K. Gowd, et al.. (2021). Dermatomyositis and polymyositis in total hip arthroplasty. World Journal of Orthopedics. 12(6). 395–402. 2 indexed citations
4.
Gil, Joseph A., et al.. (2021). Current Concepts in the Management of Dupuytren Disease of the Hand. Journal of the American Academy of Orthopaedic Surgeons. 29(11). 462–469. 5 indexed citations
5.
Sieker, Jakob T., Benedikt L. Proffen, Kimberly A. Waller, et al.. (2018). Transcriptional profiling of synovium in a porcine model of early post‐traumatic osteoarthritis. Journal of Orthopaedic Research®. 36(8). 2128–2139. 22 indexed citations
6.
Owens, Brett D., Matthew R. Akelman, Paul D. Fadale, et al.. (2018). Preoperative KOOS and SF-36 Scores Are Associated With the Development of Symptomatic Knee Osteoarthritis at 7 Years After Anterior Cruciate Ligament Reconstruction. The American Journal of Sports Medicine. 46(4). 869–875. 15 indexed citations
7.
Sieker, Jakob T., Benedikt L. Proffen, Kimberly A. Waller, et al.. (2017). Transcriptional profiling of articular cartilage in a porcine model of early post‐traumatic osteoarthritis. Journal of Orthopaedic Research®. 36(1). 318–329. 38 indexed citations
8.
Mehta, Nabil, J. Duryea, Gary J. Badger, et al.. (2017). Comparison of 2 Radiographic Techniques for Measurement of Tibiofemoral Joint Space Width. Orthopaedic Journal of Sports Medicine. 5(9). 1808776099–1808776099. 15 indexed citations
9.
Akelman, Matthew R., et al.. (2017). Predictors of a Symptomatic Knee Following ACL Reconstruction: 84 Month Follow Up. Orthopaedic Journal of Sports Medicine. 5(7_suppl6). 1 indexed citations
10.
Akelman, Matthew R., Paul D. Fadale, Michael J. Hulstyn, et al.. (2016). Effect of Matching or Overconstraining Knee Laxity During Anterior Cruciate Ligament Reconstruction on Knee Osteoarthritis and Clinical Outcomes. The American Journal of Sports Medicine. 44(7). 1660–1670. 26 indexed citations
11.
Patel, Tarpit K., Gary J. Badger, Matthew R. Akelman, et al.. (2016). Comparison of micro-CT post-processing methods for evaluating the trabecular bone volume fraction in a rat ACL-transection model. Journal of Biomechanics. 49(14). 3559–3563. 7 indexed citations
12.
Proffen, Benedikt L., Jakob T. Sieker, Martha M. Murray, et al.. (2015). Extracellular matrix‐blood composite injection reduces post‐traumatic osteoarthritis after anterior cruciate ligament injury in the rat. Journal of Orthopaedic Research®. 34(6). 995–1003. 19 indexed citations
13.
14.
Biercevicz, Alison M., Edward G. Walsh, Martha M. Murray, Matthew R. Akelman, & Braden C. Fleming. (2014). Improving the clinical efficiency of T2⁎ mapping of ligament integrity. Journal of Biomechanics. 47(10). 2522–2525. 12 indexed citations
15.
Biercevicz, Alison M., Matthew R. Akelman, Paul D. Fadale, et al.. (2014). MRI Volume and Signal Intensity of ACL Graft Predict Clinical, Functional, and Patient-Oriented Outcome Measures After ACL Reconstruction. The American Journal of Sports Medicine. 43(3). 693–699. 70 indexed citations
16.
Akelman, Matthew R., Erin Teeple, Jason T. Machan, et al.. (2012). Pendulum mass affects the measurement of articular friction coefficient. Journal of Biomechanics. 46(3). 615–618. 7 indexed citations
17.
Teeple, Erin, Khaled A. Elsaid, Gregory D. Jay, et al.. (2010). Effects of Supplemental Intra-articular Lubricin and Hyaluronic Acid on the Progression of Posttraumatic Arthritis in the Anterior Cruciate Ligament–Deficient Rat Knee. The American Journal of Sports Medicine. 39(1). 164–172. 95 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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