Jack A. Martin

628 total citations
22 papers, 441 citations indexed

About

Jack A. Martin is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Psychiatry and Mental health. According to data from OpenAlex, Jack A. Martin has authored 22 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Orthopedics and Sports Medicine, 18 papers in Biomedical Engineering and 4 papers in Psychiatry and Mental health. Recurrent topics in Jack A. Martin's work include Tendon Structure and Treatment (12 papers), Lower Extremity Biomechanics and Pathologies (9 papers) and Sports injuries and prevention (8 papers). Jack A. Martin is often cited by papers focused on Tendon Structure and Treatment (12 papers), Lower Extremity Biomechanics and Pathologies (9 papers) and Sports injuries and prevention (8 papers). Jack A. Martin collaborates with scholars based in United States, Switzerland and Canada. Jack A. Martin's co-authors include Darryl G. Thelen, Ryan J. DeWall, Alexander Ehlers, Matthew S. Allen, Laura Slane, Kenneth Lee, Scott C.E. Brandon, Daniel J. Segalman, Joshua D. Roth and Kenneth S. Lee and has published in prestigious journals such as Nature Communications, Scientific Reports and Radiology.

In The Last Decade

Jack A. Martin

20 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack A. Martin United States 10 326 255 117 74 32 22 441
Satoru Nishishita Japan 17 651 2.0× 270 1.1× 304 2.6× 100 1.4× 23 0.7× 38 851
Alex M. Lai United States 9 328 1.0× 215 0.8× 123 1.1× 133 1.8× 29 0.9× 10 578
Hongshi Huang China 13 178 0.5× 169 0.7× 257 2.2× 49 0.7× 11 0.3× 52 428
Liliam Fernandes de Oliveira Brazil 8 158 0.5× 115 0.5× 47 0.4× 48 0.6× 23 0.7× 27 305
Shun Otsuka Japan 12 229 0.7× 141 0.6× 77 0.7× 24 0.3× 17 0.5× 43 460
Hiroki Umegaki Japan 12 387 1.2× 182 0.7× 142 1.2× 74 1.0× 13 0.4× 15 481
Karl Grob Switzerland 14 188 0.6× 159 0.6× 564 4.8× 36 0.5× 28 0.9× 28 704
Laura Slane United States 11 495 1.5× 223 0.9× 289 2.5× 102 1.4× 10 0.3× 20 606
Szu‐Ching Lu Taiwan 9 133 0.4× 104 0.4× 88 0.8× 20 0.3× 28 0.9× 21 338
Bhushan Borotikar France 13 385 1.2× 308 1.2× 431 3.7× 71 1.0× 16 0.5× 41 719

Countries citing papers authored by Jack A. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Jack A. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack A. Martin. 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 Jack A. Martin. The network helps show where Jack A. Martin may publish in the future.

Co-authorship network of co-authors of Jack A. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Jack A. Martin. A scholar is included among the top collaborators of Jack A. Martin 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 Jack A. Martin. Jack A. Martin 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.
Reiter, Alex J., et al.. (2024). Achilles Tendon Loading during Running Estimated Via Shear Wave Tensiometry: A Step Toward Wearable Kinetic Analysis. Medicine & Science in Sports & Exercise. 56(6). 1077–1084. 3 indexed citations
2.
Martin, Jack A. & Darryl G. Thelen. (2023). A trained neural network model accurately predicts Achilles tendon stress during walking and running based on shear wave propagation. Journal of Biomechanics. 157. 111699–111699. 3 indexed citations
3.
Martin, Jack A. & Bryan C. Heiderscheit. (2023). A hierarchical clustering approach for examining the relationship between pelvis-proximal femur geometry and bone stress injury in runners. Journal of Biomechanics. 160. 111782–111782. 1 indexed citations
5.
Schwartz, Michael, et al.. (2022). Atypical triceps surae force and work patterns underlying gait in children with cerebral palsy. Journal of Orthopaedic Research®. 40(12). 2763–2770. 7 indexed citations
6.
Martin, Jack A., Mikel R. Stiffler-Joachim, Christa M. Wille, & Bryan C. Heiderscheit. (2022). A hierarchical clustering approach for examining potential risk factors for bone stress injury in runners. Journal of Biomechanics. 141. 111136–111136. 13 indexed citations
7.
Martin, Jack A., et al.. (2021). Normative Achilles and patellar tendon shear wave speeds and loading patterns during walking in typically developing children. Gait & Posture. 88. 185–191. 8 indexed citations
8.
Stiffler-Joachim, Mikel R., et al.. (2021). Longitudinal Changes in Running Gait Asymmetries and Their Relationship to Personal Record Race Times in Collegiate Cross Country Runners. Symmetry. 13(9). 1729–1729. 4 indexed citations
9.
Martin, Jack A., et al.. (2020). Achilles Tendon Morphology Is Related to Triceps Surae Muscle Size and Peak Plantarflexion Torques During Walking in Young but Not Older Adults. Frontiers in Sports and Active Living. 2. 88–88. 8 indexed citations
10.
Martin, Jack A., et al.. (2020). Shear Wave Tensiometry Reveals an Age-Related Deficit in Triceps Surae Work at Slow and Fast Walking Speeds. Frontiers in Sports and Active Living. 2. 69–69. 12 indexed citations
11.
Martin, Jack A., et al.. (2020). Calibration of the shear wave speed-stress relationship in in situ Achilles tendons using cadaveric simulations of gait and isometric contraction. Journal of Biomechanics. 106. 109799–109799. 11 indexed citations
12.
Martin, Jack A., et al.. (2020). Achilles tendon loading is lower in older adults than young adults across a broad range of walking speeds. Experimental Gerontology. 137. 110966–110966. 21 indexed citations
13.
Martin, Jack A., et al.. (2019). Calibration of the shear wave speed-stress relationship in ex vivo tendons. Journal of Biomechanics. 90. 9–15. 22 indexed citations
14.
Martin, Jack A., et al.. (2019). Shear Wave Predictions of Achilles Tendon Loading during Human Walking. Scientific Reports. 9(1). 13419–13419. 54 indexed citations
15.
Martin, Jack A., et al.. (2019). Achilles tendon shear wave speed tracks the dynamic modulation of standing balance. Physiological Reports. 7(23). e14298–e14298. 9 indexed citations
16.
Martin, Jack A., Scott C.E. Brandon, Alexander Ehlers, et al.. (2018). Gauging force by tapping tendons. Nature Communications. 9(1). 1592–1592. 131 indexed citations
17.
Slane, Laura, Jack A. Martin, Ryan J. DeWall, Darryl G. Thelen, & Kenneth Lee. (2016). Quantitative ultrasound mapping of regional variations in shear wave speeds of the aging Achilles tendon. European Radiology. 27(2). 474–482. 65 indexed citations
18.
Martin, Jack A., Kenneth S. Lee, Ryan J. DeWall, et al.. (2015). In Vivo Measures of Shear Wave Speed as a Predictor of Tendon Elasticity and Strength. Ultrasound in Medicine & Biology. 41(10). 2722–2730. 40 indexed citations
19.
Chiang, Jason, et al.. (2015). Potential mechanisms of the heat-sink effect during microwave ablation of an in-vivo porcine liver model. Journal of Vascular and Interventional Radiology. 26(2). S117–S118. 2 indexed citations
20.
Slane, Laura, Ryan J. DeWall, Jack A. Martin, Kenneth Lee, & Darryl G. Thelen. (2015). Middle-aged adults exhibit altered spatial variations in Achilles tendon wave speed. Physiological Measurement. 36(7). 1485–1496. 23 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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