Peter M. Crapo

5.4k total citations · 1 hit paper
17 papers, 4.2k citations indexed

About

Peter M. Crapo is a scholar working on Surgery, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Peter M. Crapo has authored 17 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 12 papers in Biomaterials and 6 papers in Biomedical Engineering. Recurrent topics in Peter M. Crapo's work include Tissue Engineering and Regenerative Medicine (14 papers), Electrospun Nanofibers in Biomedical Applications (12 papers) and Bone Tissue Engineering Materials (4 papers). Peter M. Crapo is often cited by papers focused on Tissue Engineering and Regenerative Medicine (14 papers), Electrospun Nanofibers in Biomedical Applications (12 papers) and Bone Tissue Engineering Materials (4 papers). Peter M. Crapo collaborates with scholars based in United States and United Kingdom. Peter M. Crapo's co-authors include Stephen F. Badylak, Thomas W. Gilbert, Yadong Wang, Jin Gao, Christopher J. Medberry, Stephen Tottey, Janet E. Reing, Scott A. Johnson, Kristen E. Jones and Michel Modo and has published in prestigious journals such as Biomaterials, Acta Biomaterialia and Tissue Engineering.

In The Last Decade

Peter M. Crapo

17 papers receiving 4.1k citations

Hit Papers

An overview of tissue and whole organ decellularization p... 2011 2026 2016 2021 2011 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter M. Crapo United States 16 3.4k 2.9k 1.5k 401 292 17 4.2k
Lauren D. Black United States 31 2.9k 0.9× 2.4k 0.8× 2.1k 1.4× 1.1k 2.6× 370 1.3× 68 4.8k
Janet E. Reing United States 27 3.2k 1.0× 2.5k 0.9× 1.3k 0.9× 920 2.3× 195 0.7× 36 4.4k
Donald O. Freytes United States 30 4.2k 1.2× 3.5k 1.2× 2.1k 1.4× 946 2.4× 243 0.8× 62 6.0k
Lisa J. White United Kingdom 32 1.8k 0.5× 2.0k 0.7× 1.9k 1.3× 563 1.4× 215 0.7× 72 4.1k
Nicolas L’Heureux France 26 3.4k 1.0× 3.7k 1.3× 2.4k 1.7× 731 1.8× 109 0.4× 57 5.5k
Matthew T. Wolf United States 28 3.1k 0.9× 2.5k 0.8× 1.9k 1.3× 1.1k 2.7× 237 0.8× 43 5.2k
Neill J. Turner United States 28 2.7k 0.8× 2.0k 0.7× 1.2k 0.8× 1.2k 2.9× 140 0.5× 55 3.8k
Hidekazu Sekine Japan 25 2.3k 0.7× 1.9k 0.7× 2.0k 1.4× 906 2.3× 153 0.5× 61 3.9k
Scott A. Johnson United States 26 2.0k 0.6× 1.5k 0.5× 895 0.6× 452 1.1× 152 0.5× 55 2.7k
Tiffany L. Sellaro United States 9 2.0k 0.6× 1.6k 0.6× 818 0.6× 244 0.6× 66 0.2× 12 2.5k

Countries citing papers authored by Peter M. Crapo

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Crapo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Crapo. 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 Peter M. Crapo. The network helps show where Peter M. Crapo may publish in the future.

Co-authorship network of co-authors of Peter M. Crapo

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

All Works

17 of 17 papers shown
1.
Molina, Catalina Pineda, Brian M. Sicari, Ricardo Londoño, et al.. (2018). Comparison of the host macrophage response to synthetic and biologic surgical meshes used for ventral hernia repair. 3. 13–25. 20 indexed citations
2.
Carruthers, Christopher A., Christopher L. Dearth, Janet E. Reing, et al.. (2014). Histologic Characterization of Acellular Dermal Matrices in a Porcine Model of Tissue Expander Breast Reconstruction. Tissue Engineering Part A. 21(1-2). 35–44. 44 indexed citations
3.
Crapo, Peter M., Stephen Tottey, Peter F. Slivka, & Stephen F. Badylak. (2013). Effects of Biologic Scaffolds on Human Stem Cells and Implications for CNS Tissue Engineering. Tissue Engineering Part A. 20(1-2). 313–323. 75 indexed citations
4.
Wolf, Matthew T., Christopher A. Carruthers, Christopher L. Dearth, et al.. (2013). Polypropylene surgical mesh coated with extracellular matrix mitigates the host foreign body response. Journal of Biomedical Materials Research Part A. 102(1). 234–246. 110 indexed citations
5.
Crapo, Peter M., Christopher J. Medberry, Janet E. Reing, et al.. (2012). Biologic scaffolds composed of central nervous system extracellular matrix. Biomaterials. 33(13). 3539–3547. 206 indexed citations
6.
Bible, Ellen, Flavio Dell’Acqua, Bhavana Solanky, et al.. (2012). Non-invasive imaging of transplanted human neural stem cells and ECM scaffold remodeling in the stroke-damaged rat brain by 19F- and diffusion-MRI. Biomaterials. 33(10). 2858–2871. 139 indexed citations
7.
Sicari, Brian M., Scott A. Johnson, Bernard F. Siu, et al.. (2012). The effect of source animal age upon the in vivo remodeling characteristics of an extracellular matrix scaffold. Biomaterials. 33(22). 5524–5533. 109 indexed citations
8.
Medberry, Christopher J., Peter M. Crapo, Bernard F. Siu, et al.. (2012). Hydrogels derived from central nervous system extracellular matrix. Biomaterials. 34(4). 1033–1040. 220 indexed citations
9.
Crapo, Peter M., Thomas W. Gilbert, & Stephen F. Badylak. (2011). An overview of tissue and whole organ decellularization processes. Biomaterials. 32(12). 3233–3243. 2654 indexed citations breakdown →
10.
Crapo, Peter M. & Yadong Wang. (2011). Hydrostatic pressure independently increases elastin and collagen co‐expression in small‐diameter engineered arterial constructs. Journal of Biomedical Materials Research Part A. 96A(4). 673–681. 11 indexed citations
11.
Tottey, Stephen, Scott A. Johnson, Peter M. Crapo, et al.. (2010). The effect of source animal age upon extracellular matrix scaffold properties. Biomaterials. 32(1). 128–136. 102 indexed citations
12.
Crapo, Peter M. & Yadong Wang. (2009). Physiologic compliance in engineered small-diameter arterial constructs based on an elastomeric substrate. Biomaterials. 31(7). 1626–1635. 88 indexed citations
13.
Crapo, Peter M. & Yadong Wang. (2009). Small intestinal submucosa gel as a potential scaffolding material for cardiac tissue engineering. Acta Biomaterialia. 6(6). 2091–2096. 35 indexed citations
14.
Gao, Jin, Peter M. Crapo, Robert M. Nerem, & Yadong Wang. (2008). Co‐expression of elastin and collagen leads to highly compliant engineered blood vessels. Journal of Biomedical Materials Research Part A. 85A(4). 1120–1128. 59 indexed citations
15.
Crapo, Peter M., Jin Gao, & Yadong Wang. (2007). Seamless tubular poly(glycerol sebacate) scaffolds: High‐yield fabrication and potential applications. Journal of Biomedical Materials Research Part A. 86A(2). 354–363. 40 indexed citations
16.
Gao, Jin, Peter M. Crapo, & Yadong Wang. (2006). Macroporous Elastomeric Scaffolds with Extensive Micropores for Soft Tissue Engineering. Tissue Engineering. 12(4). 917–925. 171 indexed citations
17.
Goodman, P., et al.. (2005). Computational Model of Device-Induced Thrombosis and Thromboembolism. Annals of Biomedical Engineering. 33(6). 780–797. 81 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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