Shawn M. O’Connor

1.8k total citations
22 papers, 1.2k citations indexed

About

Shawn M. O’Connor is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Orthopedics and Sports Medicine. According to data from OpenAlex, Shawn M. O’Connor has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Physical Therapy, Sports Therapy and Rehabilitation and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in Shawn M. O’Connor's work include Muscle activation and electromyography studies (9 papers), Balance, Gait, and Falls Prevention (8 papers) and Motor Control and Adaptation (5 papers). Shawn M. O’Connor is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Balance, Gait, and Falls Prevention (8 papers) and Motor Control and Adaptation (5 papers). Shawn M. O’Connor collaborates with scholars based in United States, Canada and Australia. Shawn M. O’Connor's co-authors include Arthur D. Kuo, J. Maxwell Donelan, Jeremy D. Wong, Jessica C. Selinger, Darryl G. Thelen, Jason R. Franz, Carrie A. Francis, Harsimran S. Baweja, Daniel J. Goble and Richard L. Lieber and has published in prestigious journals such as Current Biology, Journal of Neurophysiology and Journal of Applied Physiology.

In The Last Decade

Shawn M. O’Connor

22 papers receiving 1.2k citations

Peers

Shawn M. O’Connor
Jeffrey M. Haddad United States
Omar S. Mian United Kingdom
Jinger S. Gottschall United States
James M. Finley United States
Justus D. Ortega United States
Pieter Meyns Belgium
Shawn M. O’Connor
Citations per year, relative to Shawn M. O’Connor Shawn M. O’Connor (= 1×) peers Renato Moraes

Countries citing papers authored by Shawn M. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Shawn M. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn M. O’Connor. 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 Shawn M. O’Connor. The network helps show where Shawn M. O’Connor may publish in the future.

Co-authorship network of co-authors of Shawn M. O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn M. O’Connor. A scholar is included among the top collaborators of Shawn M. O’Connor 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 Shawn M. O’Connor. Shawn M. O’Connor 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.
O’Connor, Shawn M., Kenton R. Kaufman, Samuel R. Ward, & Richard L. Lieber. (2020). Sensor Anchoring Improves the Correlation Between Intramuscular Pressure and Muscle Tension in a Rabbit Model. Annals of Biomedical Engineering. 49(2). 912–921. 4 indexed citations
2.
Ward, Samuel R., Taylor M. Winters, Shawn M. O’Connor, & Richard L. Lieber. (2020). Non-linear Scaling of Passive Mechanical Properties in Fibers, Bundles, Fascicles and Whole Rabbit Muscles. Frontiers in Physiology. 11. 211–211. 60 indexed citations
3.
O’Connor, Shawn M., et al.. (2019). Redistribution of nerve strain enables end-to-end repair under tension without inhibiting nerve regeneration. Neural Regeneration Research. 14(7). 1280–1280. 19 indexed citations
4.
Goble, Daniel J., et al.. (2018). A point of application study to determine the accuracy, precision and reliability of a low-cost balance plate for center of pressure measurement. Journal of Biomechanics. 71. 277–280. 30 indexed citations
5.
Catanzarite, Tatiana, et al.. (2018). Pelvic muscles’ mechanical response to strains in the absence and presence of pregnancy-induced adaptations in a rat model. American Journal of Obstetrics and Gynecology. 218(5). 512.e1–512.e9. 30 indexed citations
6.
Kuo, Bill P.-P., et al.. (2017). In Vivo Sarcomere Length Measurement in Whole Muscles during Passive Stretch and Twitch Contractions. Biophysical Journal. 112(4). 805–812. 12 indexed citations
7.
O’Connor, Shawn M., et al.. (2016). Design Considerations of a Fiber Optic Pressure Sensor Protective Housing for Intramuscular Pressure Measurements. Annals of Biomedical Engineering. 45(3). 739–746. 15 indexed citations
8.
O’Connor, Shawn M., Harsimran S. Baweja, & Daniel J. Goble. (2016). Validating the BTrackS Balance Plate as a low cost alternative for the measurement of sway-induced center of pressure. Journal of Biomechanics. 49(16). 4142–4145. 61 indexed citations
9.
O’Connor, Shawn M., et al.. (2016). Foot placement relies on state estimation during visually guided walking. Journal of Neurophysiology. 117(2). 480–491. 24 indexed citations
10.
O’Connor, Shawn M., Jeremy D. Wong, & J. Maxwell Donelan. (2016). A generalized method for controlling end-tidal respiratory gases during nonsteady physiological conditions. Journal of Applied Physiology. 121(6). 1247–1262. 4 indexed citations
11.
Selinger, Jessica C., Shawn M. O’Connor, Jeremy D. Wong, & J. Maxwell Donelan. (2015). Humans Can Continuously Optimize Energetic Cost during Walking. Current Biology. 25(18). 2452–2456. 247 indexed citations
12.
Franz, Jason R., Carrie A. Francis, Matthew S. Allen, Shawn M. O’Connor, & Darryl G. Thelen. (2015). Advanced age brings a greater reliance on visual feedback to maintain balance during walking. Human Movement Science. 40. 381–392. 92 indexed citations
13.
Francis, Carrie A., Jason R. Franz, Shawn M. O’Connor, & Darryl G. Thelen. (2015). Gait variability in healthy old adults is more affected by a visual perturbation than by a cognitive or narrow step placement demand. Gait & Posture. 42(3). 380–385. 43 indexed citations
14.
Radic, Stojan, et al.. (2014). Resonant Reflection Spectroscopy of Biomolecular Arrays in Muscle. Biophysical Journal. 107(10). 2352–2360. 4 indexed citations
15.
O’Connor, Shawn M., Terence J. Dawson, Rodger Kram, & J. Maxwell Donelan. (2014). The kangaroo's tail propels and powers pentapedal locomotion. Biology Letters. 10(7). 20140381–20140381. 59 indexed citations
16.
More, Heather L., Shawn M. O’Connor, Emil Brøndum, et al.. (2013). Sensorimotor responsiveness and resolution in the giraffe. Journal of Experimental Biology. 216(6). 1003–1011. 8 indexed citations
17.
O’Connor, Shawn M., et al.. (2012). Energetic cost of walking with increased step variability. Gait & Posture. 36(1). 102–107. 113 indexed citations
18.
O’Connor, Shawn M. & J. Maxwell Donelan. (2012). Fast visual prediction and slow optimization of preferred walking speed. Journal of Neurophysiology. 107(9). 2549–2559. 48 indexed citations
19.
O’Connor, Shawn M. & Arthur D. Kuo. (2009). Direction-Dependent Control of Balance During Walking and Standing. Journal of Neurophysiology. 102(3). 1411–1419. 292 indexed citations
20.
O’Connor, Shawn M. & Arthur D. Kuo. (2006). Dynamic bipedal locomotion on compliant legs. Journal of Biomechanics. 39. S359–S359. 1 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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