Grace D. O’Connell

2.8k total citations
82 papers, 2.3k citations indexed

About

Grace D. O’Connell is a scholar working on Pathology and Forensic Medicine, Surgery and Pharmacology. According to data from OpenAlex, Grace D. O’Connell has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pathology and Forensic Medicine, 39 papers in Surgery and 39 papers in Pharmacology. Recurrent topics in Grace D. O’Connell's work include Spine and Intervertebral Disc Pathology (45 papers), Musculoskeletal pain and rehabilitation (39 papers) and Osteoarthritis Treatment and Mechanisms (15 papers). Grace D. O’Connell is often cited by papers focused on Spine and Intervertebral Disc Pathology (45 papers), Musculoskeletal pain and rehabilitation (39 papers) and Osteoarthritis Treatment and Mechanisms (15 papers). Grace D. O’Connell collaborates with scholars based in United States, Egypt and United Kingdom. Grace D. O’Connell's co-authors include Dawn M. Elliott, Edward J. Vresilovic, Bo Yang, Semih E. Bezci, Sounok Sen, Wade Johannessen, Clark T. Hung, Joseph M. Dennis, Jeannette M. Garcı́a and Gerard A. Ateshian and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Grace D. O’Connell

76 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Grace D. O’Connell 1.5k 1.2k 971 858 218 82 2.3k
Marianna Peroglio 1.1k 0.7× 762 0.6× 741 0.8× 725 0.8× 190 0.9× 51 2.1k
Jun Zou 1.1k 0.7× 393 0.3× 777 0.8× 1.0k 1.2× 261 1.2× 118 2.5k
Sarah E. Gullbrand 841 0.6× 646 0.5× 384 0.4× 425 0.5× 130 0.6× 45 1.2k
Mark Weidenbaum 2.3k 1.5× 1.4k 1.2× 893 0.9× 1.7k 1.9× 173 0.8× 43 3.0k
L. Claes 760 0.5× 424 0.4× 671 0.7× 1.3k 1.5× 68 0.3× 65 2.2k
Ganjun Feng 581 0.4× 277 0.2× 484 0.5× 573 0.7× 121 0.6× 73 1.4k
Matthew H. Pelletier 689 0.5× 182 0.2× 795 0.8× 1.4k 1.6× 57 0.3× 85 2.0k
Jeffrey C. Lotz 851 0.6× 630 0.5× 295 0.3× 622 0.7× 102 0.5× 11 1.4k
Albert J. van der Veen 1.0k 0.7× 683 0.6× 512 0.5× 892 1.0× 33 0.2× 58 1.7k
Tae‐Hong Lim 2.9k 1.9× 1.3k 1.1× 886 0.9× 2.5k 3.0× 204 0.9× 77 3.7k

Countries citing papers authored by Grace D. O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by Grace D. O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace D. O’Connell. 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 Grace D. O’Connell. The network helps show where Grace D. O’Connell may publish in the future.

Co-authorship network of co-authors of Grace D. O’Connell

This figure shows the co-authorship network connecting the top 25 collaborators of Grace D. O’Connell. A scholar is included among the top collaborators of Grace D. O’Connell 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 Grace D. O’Connell. Grace D. O’Connell 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.
Garcia, Steven, et al.. (2026). Sex-Based Differences in Cell Types and Gene Expression within the Anterior Cruciate Ligament. Journal of Bone and Joint Surgery.
2.
Torres‐Espín, Abel, et al.. (2025). 3D motion capture data into a kinematic composite score for assessing musculoskeletal impairments. Journal of Biomechanics. 186. 112725–112725. 1 indexed citations
4.
Jamali, Amir A., et al.. (2024). Effect of Passaging on Bovine Chondrocyte Gene Expression and Engineered Cartilage Production. Tissue Engineering Part A. 30(17-18). 512–524. 2 indexed citations
5.
Kulkarni, Ravindra D., et al.. (2024). Quantification of Internal Disc Strain Under Dynamic Loading Via High-Frequency Ultrasound. Journal of Biomechanical Engineering. 147(3). 1 indexed citations
6.
Yu, Denny, et al.. (2024). Deep learning enables accurate soft tissue tendon deformation estimation in vivo via ultrasound imaging. Scientific Reports. 14(1). 18401–18401. 3 indexed citations
7.
Peirce, Shayn M., Edward A. Sander, Matthew B. Fisher, et al.. (2024). A Systems Approach to Biomechanics, Mechanobiology, and Biotransport. Journal of Biomechanical Engineering. 146(4). 1 indexed citations
8.
Wang, Wei, et al.. (2024). Integrin mechanosensing relies on a pivot-clip mechanism to reinforce cell adhesion. Biophysical Journal. 123(16). 2443–2454. 3 indexed citations
9.
Theologis, Alekos A., et al.. (2023). Understanding the etiopathogenesis of lumbar intervertebral disc herniation: From clinical evidence to basic scientific research. JOR Spine. 7(1). e1289–e1289. 34 indexed citations
10.
Damen, Frederick W., et al.. (2023). Relating in-vivo Strain of the Flexor Digitorum Superficialis Tendon with Grip Force. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 873–876.
11.
Jamali, Amir A., et al.. (2023). Priming chondrocytes during expansion alters cell behavior and improves matrix production in 3D culture. Osteoarthritis and Cartilage. 32(5). 548–560. 7 indexed citations
12.
O’Connell, Grace D., et al.. (2020). Fiber engagement accounts for geometry-dependent annulus fibrosus mechanics: A multiscale, Structure-Based Finite Element Study. Journal of the mechanical behavior of biomedical materials. 115. 104292–104292. 22 indexed citations
13.
O’Connell, Grace D., et al.. (2019). Bovine annulus fibrosus hydration affects rate-dependent failure mechanics in tension. Journal of Biomechanics. 89. 34–39. 30 indexed citations
14.
Liu, Jennifer, et al.. (2019). Effects of ex vivo ionizing radiation on collagen structure and whole-bone mechanical properties of mouse vertebrae. Bone. 128. 115043–115043. 27 indexed citations
15.
Bezci, Semih E., Ananth Eleswarapu, Eric O. Klineberg, & Grace D. O’Connell. (2018). Contribution of facet joints, axial compression, and composition to human lumbar disc torsion mechanics. Journal of Orthopaedic Research®. 36(8). 2266–2273. 13 indexed citations
16.
Li, Alfred, et al.. (2018). High-precision method for cyclic loading of small-animal vertebrae to assess bone quality. Bone Reports. 9. 165–172. 10 indexed citations
17.
Bezci, Semih E. & Grace D. O’Connell. (2017). Osmotic Pressure Alters Time-dependent Recovery Behavior of the Intervertebral Disc. Spine. 43(6). E334–E340. 35 indexed citations
18.
Ponnurangam, Sathish, Grace D. O’Connell, И. В. Чернышова, et al.. (2014). Beneficial Effects of Cerium Oxide Nanoparticles in Development of Chondrocyte-Seeded Hydrogel Constructs and Cellular Response to Interleukin Insults. Tissue Engineering Part A. 20(21-22). 2908–2919. 26 indexed citations
19.
O’Connell, Grace D., Neil R. Malhotra, Edward J. Vresilovic, & Dawn M. Elliott. (2011). The Effect of Nucleotomy and the Dependence of Degeneration of Human Intervertebral Disc Strain in Axial Compression. Spine. 36(21). 1765–1771. 50 indexed citations
20.
O’Connell, Grace D., Edward J. Vresilovic, & Dawn M. Elliott. (2010). Human intervertebral disc internal strain in compression: The effect of disc region, loading position, and degeneration. Journal of Orthopaedic Research®. 29(4). 547–555. 139 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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