Michael J. McClure

3.1k total citations
49 papers, 2.4k citations indexed

About

Michael J. McClure is a scholar working on Surgery, Biomaterials and Molecular Biology. According to data from OpenAlex, Michael J. McClure has authored 49 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 19 papers in Biomaterials and 14 papers in Molecular Biology. Recurrent topics in Michael J. McClure's work include Tissue Engineering and Regenerative Medicine (20 papers), Electrospun Nanofibers in Biomedical Applications (19 papers) and Muscle Physiology and Disorders (10 papers). Michael J. McClure is often cited by papers focused on Tissue Engineering and Regenerative Medicine (20 papers), Electrospun Nanofibers in Biomedical Applications (19 papers) and Muscle Physiology and Disorders (10 papers). Michael J. McClure collaborates with scholars based in United States, Switzerland and Spain. Michael J. McClure's co-authors include Gary L. Bowlin, Scott A. Sell, David G. Simpson, Koyal Garg, Patricia S. Wolfe, Beat H. Walpoth, Catherine P. Barnes, Zvi Schwartz, Wei-Yin Chen and Benfang Lei and has published in prestigious journals such as Journal of Clinical Investigation, Biomaterials and Advanced Drug Delivery Reviews.

In The Last Decade

Michael J. McClure

47 papers receiving 2.3k citations

Peers

Michael J. McClure

BIOMA

SURGE

Yasushi Tamada Japan

Jisoo Shin South Korea

Haw‐Ming Huang Taiwan

Hwal Suh South Korea

Roel Kuijer Netherlands

Mario Raspanti Italy

Michael S. Sacks United States

Richard M. Shelton United Kingdom

Shifang Zhao China

Kamal Mustafa Norway

Yasushi Tamada Japan

Michael J. McClure

2.6k ×1.7

BIOMA

429 ×0.5

SURGE

1.2k ×1.4

653 ×2.2

215 ×1.3

Citations per year, relative to Michael J. McClure Michael J. McClure (= 1×) peers Yasushi Tamada

Countries citing papers authored by Michael J. McClure

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. McClure

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. McClure. 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 Michael J. McClure. The network helps show where Michael J. McClure may publish in the future.

Co-authorship network of co-authors of Michael J. McClure

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

All Works

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20 of 20 papers shown

Cohen, David J., et al.. (2025). Glycations on Decellularized Muscle Matrix Reduce Muscle Regeneration and Increase Inflammation. Tissue Engineering Part A. 31(19-20). 1199–1212.

Cohen, David J., et al.. (2025). Trophic Factors in Muscle‐Nerve Cross‐Talk Signaling Augment Muscle Fiber and Motor Endplate Development. Journal of Cellular Physiology. 240(2). e70013–e70013.

Cohen, David J., et al.. (2024). Muscle Fibrosis, NF- κ B, and TGF- β Are Differentially Altered in Two Models of Paralysis (Botox Versus Neurectomy). Advances in Wound Care. 14(2). 67–82. 2 indexed citations

Cohen, David J., et al.. (2023). Osseointegration of Titanium Implants in a Botox-Induced Muscle Paralysis Rat Model Is Sensitive to Surface Topography and Semaphorin 3A Treatment. Biomimetics. 8(1). 93–93. 5 indexed citations

Cohen, David J., Gloria Kim, Michael J. McClure, et al.. (2022). Prophylactic administration of miR-451 inhibitor decreases osteoarthritis severity in rats. Scientific Reports. 12(1). 16068–16068. 3 indexed citations

Cohen, David J., et al.. (2021). Differential Effects of Neurectomy and Botox-induced Muscle Paralysis on Bone Phenotype and Titanium Implant Osseointegration. Bone. 153. 116145–116145. 14 indexed citations

McClure, Michael J., et al.. (2018). Decellularized Muscle Supports New Muscle Fibers and Improves Function Following Volumetric Injury. Tissue Engineering Part A. 24(15-16). 1228–1241. 34 indexed citations

McClure, Michael J., et al.. (2018). Platelet-rich plasma and alignment enhance myogenin via ERK mitogen activated protein kinase signaling. Biomedical Materials. 13(5). 55009–55009. 6 indexed citations

Zhao, Lin, Michael J. McClure, Junjun Zhao, et al.. (2018). MicroRNA Contents in Matrix Vesicles Produced by Growth Plate Chondrocytes are Cell Maturation Dependent. Scientific Reports. 8(1). 3609–3609. 28 indexed citations

10.

McClure, Michael J., Sharon L. Hyzy, Charles E. Chalfant, et al.. (2016). Role of integrin α7β1 signaling in myoblast differentiation on aligned polydioxanone scaffolds. Acta Biomaterialia. 39. 44–54. 30 indexed citations

11.

McClure, Michael J., et al.. (2015). Intrathoracic Migration of a Breast Implant After Minimally Invasive Cardiac Surgery. Annals of Plastic Surgery. 74(3). 274–276. 4 indexed citations

12.

McClure, Michael J., David G. Simpson, & Gary L. Bowlin. (2012). Tri-layered vascular grafts composed of polycaprolactone, elastin, collagen, and silk: Optimization of graft properties. Journal of the mechanical behavior of biomedical materials. 10. 48–61. 76 indexed citations

13.

Yin, Anlin, Kuihua Zhang, Michael J. McClure, et al.. (2012). Electrospinning collagen/chitosan/poly(L‐lactic acid‐co‐ϵ‐caprolactone) to form a vascular graft: Mechanical and biological characterization. Journal of Biomedical Materials Research Part A. 101A(5). 1292–1301. 99 indexed citations

14.

McClure, Michael J., Patricia S. Wolfe, David G. Simpson, Scott A. Sell, & Gary L. Bowlin. (2011). The use of air-flow impedance to control fiber deposition patterns during electrospinning. Biomaterials. 33(3). 771–779. 60 indexed citations

15.

McClure, Michael J., Scott A. Sell, David G. Simpson, Beat H. Walpoth, & Gary L. Bowlin. (2011). Tri-layered Electrospinning to Mimic Native Arterial Architecture using Polycaprolactone, Elastin, and Collagen: A Preliminary Study. Journal of Visualized Experiments. 4 indexed citations

16.

McClure, Michael J., Scott A. Sell, David G. Simpson, Beat H. Walpoth, & Gary L. Bowlin. (2010). A three-layered electrospun matrix to mimic native arterial architecture using polycaprolactone, elastin, and collagen: A preliminary study. Acta Biomaterialia. 6(7). 2422–2433. 206 indexed citations

17.

Sell, Scott A., Michael J. McClure, Koyal Garg, Patricia S. Wolfe, & Gary L. Bowlin. (2009). Electrospinning of collagen/biopolymers for regenerative medicine and cardiovascular tissue engineering. Advanced Drug Delivery Reviews. 61(12). 1007–1019. 354 indexed citations

18.

Liu, Mengyao, Michael J. McClure, Hui Zhu, Gary Xie, & Benfang Lei. (2008). The Two-Component Regulatory System VicRK is Important to Virulence of Streptococcus equi Subspecies equi. The Open Microbiology Journal. 2(1). 89–93. 8 indexed citations

19.

Nygaard, Tyler K., Mengyao Liu, Michael J. McClure, & Benfang Lei. (2006). Identification and characterization of the heme-binding proteins SeShp and SeHtsA of Streptococcus equi subspecies equi. BMC Microbiology. 6(1). 82–82. 24 indexed citations

20.

Liu, Mengyao, et al.. (2005). ABC transporter FtsABCD of Streptococcus pyogenes mediates uptake of ferric ferrichrome. BMC Microbiology. 5(1). 62–62. 49 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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