David T. Corr

2.8k total citations
88 papers, 2.0k citations indexed

About

David T. Corr is a scholar working on Biomedical Engineering, Molecular Biology and Cell Biology. According to data from OpenAlex, David T. Corr has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biomedical Engineering, 21 papers in Molecular Biology and 21 papers in Cell Biology. Recurrent topics in David T. Corr's work include 3D Printing in Biomedical Research (23 papers), Cellular Mechanics and Interactions (19 papers) and Tendon Structure and Treatment (11 papers). David T. Corr is often cited by papers focused on 3D Printing in Biomedical Research (23 papers), Cellular Mechanics and Interactions (19 papers) and Tendon Structure and Treatment (11 papers). David T. Corr collaborates with scholars based in United States, Canada and Austria. David T. Corr's co-authors include Douglas B. Chrisey, Nathan R. Schiele, David A. Hart, Thomas M. Best, Yong Huang, Yubing Xie, Andrew D. Dias, David M. Kingsley, Nurazhani Abdul Raof and Ray Vanderby and has published in prestigious journals such as Biomaterials, Langmuir and Oncogene.

In The Last Decade

David T. Corr

84 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David T. Corr United States 26 1.1k 410 402 339 283 88 2.0k
Lisbet Haglund Canada 32 757 0.7× 759 1.9× 169 0.4× 482 1.4× 192 0.7× 89 3.2k
Hai Yao United States 24 1.2k 1.1× 819 2.0× 358 0.9× 472 1.4× 107 0.4× 90 2.8k
Mitchell Kuss United States 29 1.3k 1.2× 546 1.3× 321 0.8× 310 0.9× 83 0.3× 61 2.6k
Qingqiang Yao China 36 2.0k 1.8× 855 2.1× 336 0.8× 564 1.7× 221 0.8× 122 3.7k
Fei Xing China 30 1.5k 1.3× 791 1.9× 268 0.7× 263 0.8× 126 0.4× 108 2.8k
Michael J. Yost United States 28 1.2k 1.1× 814 2.0× 456 1.1× 689 2.0× 53 0.2× 77 2.6k
Edward A. Sander United States 26 981 0.9× 351 0.9× 141 0.4× 138 0.4× 228 0.8× 74 1.9k
Zhonghan Wang China 25 1.3k 1.2× 602 1.5× 232 0.6× 227 0.7× 135 0.5× 62 2.7k
Daping Wang China 33 896 0.8× 743 1.8× 129 0.3× 1.3k 3.8× 225 0.8× 166 3.8k

Countries citing papers authored by David T. Corr

Since Specialization
Citations

This map shows the geographic impact of David T. Corr'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 David T. Corr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Corr more than expected).

Fields of papers citing papers by David T. Corr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Corr. 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 David T. Corr. The network helps show where David T. Corr may publish in the future.

Co-authorship network of co-authors of David T. Corr

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Corr. A scholar is included among the top collaborators of David T. Corr 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 David T. Corr. David T. Corr 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.
Lee, Yeon‐Ju, Na Rae Park, David M. Hudson, et al.. (2024). Characterization of TGFβ1-induced tendon-like structure in the scaffold-free three-dimensional tendon cell culture system. Scientific Reports. 14(1). 9495–9495. 4 indexed citations
2.
Dordick, Jonathan S., et al.. (2024). Synergistic Treatment of Breast Cancer by Combining the Antimicrobial Peptide Piscidin with a Modified Glycolipid. ACS Omega. 9(31). 33408–33424. 2 indexed citations
3.
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
4.
Szczesny, Spencer E. & David T. Corr. (2023). Tendon cell and tissue culture: Perspectives and recommendations. Journal of Orthopaedic Research®. 41(10). 2093–2104. 7 indexed citations
5.
Kingsley, David M., et al.. (2023). Sophorolipid Candidates Demonstrate Cytotoxic Efficacy against 2D and 3D Breast Cancer Models. Journal of Natural Products. 86(5). 1159–1170. 4 indexed citations
6.
Barroso, Margarida, et al.. (2022). Non-Destructive Evaluation of Regional Cell Density Within Tumor Aggregates Following Drug Treatment. Journal of Visualized Experiments. 6 indexed citations
7.
Corr, David T., et al.. (2022). Sophorolipids: Anti-cancer activities and mechanisms. Bioorganic & Medicinal Chemistry. 65. 116787–116787. 24 indexed citations
8.
Kingsley, David M., et al.. (2020). Non-Destructive Tumor Aggregate Morphology and Viability Quantification at Cellular Resolution, During Development and in Response to Drug. Acta Biomaterialia. 117. 322–334. 19 indexed citations
9.
Kingsley, David M., et al.. (2019). On-Demand Radial Electrodeposition of Alginate Tubular Structures. ACS Biomaterials Science & Engineering. 5(7). 3184–3189. 7 indexed citations
10.
Corr, David T., et al.. (2018). Cyclic Uniaxial Tensile Strain Enhances the Mechanical Properties of Engineered, Scaffold-Free Tendon Fibers. Tissue Engineering Part A. 24(23-24). 1808–1817. 27 indexed citations
11.
D’Amato, Anthony R., et al.. (2018). Solvent Retention in Electrospun Fibers Affects Scaffold Mechanical Properties. PubMed. 2(1). 15–28. 29 indexed citations
12.
Lee, Ming‐Song, Sarah Duenwald-Kuehl, Jarred Kaiser, et al.. (2016). Advanced quantitative imaging and biomechanical analyses of periosteal fibers in accelerated bone growth. Bone. 92. 201–213. 3 indexed citations
13.
Corr, David T., et al.. (2015). 3D brown adipogenesis to create “Brown-Fat-in-Microstrands”. Biomaterials. 75. 123–134. 20 indexed citations
14.
Schiele, Nathan R., Ryan A. Koppes, Douglas B. Chrisey, & David T. Corr. (2013). Engineering Cellular Fibers for Musculoskeletal Soft Tissues Using Directed Self-Assembly. Tissue Engineering Part A. 19(9-10). 1223–1232. 18 indexed citations
15.
Corr, David T. & David A. Hart. (2013). Biomechanics of Scar Tissue and Uninjured Skin. Advances in Wound Care. 2(2). 37–43. 96 indexed citations
16.
White, Neil J., et al.. (2013). Locked plate fixation of the comminuted distal fibula: a biomechanical study. Canadian Journal of Surgery. 56(1). 35–40. 29 indexed citations
17.
Phamduy, Theresa B., Nurazhani Abdul Raof, Nathan R. Schiele, et al.. (2012). Laser direct-write of single microbeads into spatially-ordered patterns. Biofabrication. 4(2). 25006–25006. 24 indexed citations
18.
Schiele, Nathan R., Douglas B. Chrisey, & David T. Corr. (2010). Gelatin-Based Laser Direct-Write Technique for the Precise Spatial Patterning of Cells. Tissue Engineering Part C Methods. 17(3). 289–298. 69 indexed citations
19.
Beveridge, Jillian E., et al.. (2008). A comparison of passive flexion–extension to normal gait in the ovine stifle joint. Journal of Biomechanics. 41(4). 854–860. 18 indexed citations
20.
Corr, David T., Glen Leverson, Ray Vanderby, & Thomas M. Best. (2001). The effects of stretch rate and stimulation state on the mechanical behavior of skeletal muscle. 50. 421–422. 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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