Patrick W. Alford

3.0k total citations
47 papers, 2.3k citations indexed

About

Patrick W. Alford is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Patrick W. Alford has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cell Biology, 27 papers in Biomedical Engineering and 13 papers in Molecular Biology. Recurrent topics in Patrick W. Alford's work include Cellular Mechanics and Interactions (25 papers), Elasticity and Material Modeling (17 papers) and 3D Printing in Biomedical Research (13 papers). Patrick W. Alford is often cited by papers focused on Cellular Mechanics and Interactions (25 papers), Elasticity and Material Modeling (17 papers) and 3D Printing in Biomedical Research (13 papers). Patrick W. Alford collaborates with scholars based in United States, Netherlands and South Korea. Patrick W. Alford's co-authors include Kevin Kit Parker, Anna Grosberg, Megan L. McCain, Larry A. Taber, Zaw Win, Sean P. Sheehy, Adam W. Feinberg, Josue A. Goss, Jay D. Humphrey and Paolo P. Provenzano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Patrick W. Alford

43 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick W. Alford United States 22 1.2k 701 553 507 301 47 2.3k
Steven M. Kurtz United States 26 796 0.6× 711 1.0× 511 0.9× 257 0.5× 270 0.9× 58 2.5k
Toshiro OHASHI Japan 26 804 0.6× 785 1.1× 485 0.9× 481 0.9× 143 0.5× 106 2.4k
Adrian Ranga Belgium 23 1.6k 1.3× 550 0.8× 1.1k 2.0× 607 1.2× 158 0.5× 48 2.9k
Jeroen Eyckmans United States 26 1.5k 1.2× 820 1.2× 889 1.6× 697 1.4× 116 0.4× 52 3.0k
Anna Urciuolo Italy 16 797 0.6× 529 0.8× 1.4k 2.4× 729 1.4× 101 0.3× 35 2.8k
Patrick Campbell United States 25 1.2k 1.0× 259 0.4× 552 1.0× 503 1.0× 295 1.0× 37 2.4k
Christopher L. Smith United States 20 518 0.4× 338 0.5× 889 1.6× 480 0.9× 253 0.8× 41 2.0k
Lucas Smith United States 29 626 0.5× 604 0.9× 1.2k 2.2× 477 0.9× 163 0.5× 60 2.6k
Brian P. Helmke United States 22 593 0.5× 941 1.3× 743 1.3× 290 0.6× 237 0.8× 47 2.3k
Robert Mannix United States 17 1.5k 1.2× 1.2k 1.7× 993 1.8× 166 0.3× 72 0.2× 22 3.2k

Countries citing papers authored by Patrick W. Alford

Since Specialization
Citations

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

Fields of papers citing papers by Patrick W. Alford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick W. Alford. 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 Patrick W. Alford. The network helps show where Patrick W. Alford may publish in the future.

Co-authorship network of co-authors of Patrick W. Alford

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick W. Alford. A scholar is included among the top collaborators of Patrick W. Alford 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 Patrick W. Alford. Patrick W. Alford 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.
Alford, Patrick W., et al.. (2025). Microstructural remodeling under single fiber tensional homeostasis recreates distinctive ex vivo mechanical behavior of arteries. Biomechanics and Modeling in Mechanobiology. 24(2). 701–712.
2.
Grosberg, Anna, et al.. (2025). Biaxial length-tension relationship in single cardiac myocytes. Biophysical Journal. 124(17). 2865–2876.
3.
4.
Barocas, Victor H., et al.. (2023). The non-affine fiber network solver: A multiscale fiber network material model for finite-element analysis. Journal of the mechanical behavior of biomedical materials. 144. 105967–105967. 5 indexed citations
5.
Garay, Bayardo I., Phablo Abreu, Man Liu, et al.. (2022). Dual inhibition of MAPK and PI3K/AKT pathways enhances maturation of human iPSC-derived cardiomyocytes. Stem Cell Reports. 17(9). 2005–2022. 25 indexed citations
6.
Amili, Omid, et al.. (2022). Biology and Hemodynamics of Aneurysm Rupture. Neurosurgery Clinics of North America. 33(4). 431–441. 3 indexed citations
7.
Liao, Dezhi, et al.. (2021). Orientation of neurites influences severity of mechanically induced tau pathology. Biophysical Journal. 120(16). 3272–3282. 12 indexed citations
8.
Win, Zaw, et al.. (2020). Large-deformation strain energy density function for vascular smooth muscle cells. Journal of Biomechanics. 111. 110005–110005. 11 indexed citations
9.
Tabdanov, Erdem D., et al.. (2018). Bimodal sensing of guidance cues in mechanically distinct microenvironments. Nature Communications. 9(1). 4891–4891. 47 indexed citations
10.
Wheelwright, Matthew, et al.. (2018). Investigation of human iPSC-derived cardiac myocyte functional maturation by single cell traction force microscopy. PLoS ONE. 13(4). e0194909–e0194909. 45 indexed citations
11.
Ray, Arja, Zaw Win, Rachel Edwards, et al.. (2017). Anisotropic forces from spatially constrained focal adhesions mediate contact guidance directed cell migration. Nature Communications. 8(1). 220 indexed citations
12.
Hall, Jennifer L., et al.. (2015). Vascular smooth muscle cell functional contractility depends on extracellular mechanical properties. Journal of Biomechanics. 48(12). 3044–3051. 58 indexed citations
13.
Win, Zaw, et al.. (2014). Smooth muscle architecture within cell-dense vascular tissues influences functional contractility. Integrative Biology. 6(12). 1201–1210. 18 indexed citations
14.
Alford, Patrick W.. (2014). Elasticity-Based Targeted Growth Models of Morphogenesis. Methods in molecular biology. 1189. 339–350. 1 indexed citations
15.
Alford, Patrick W., et al.. (2013). Smooth Muscle Phenotype Switching in Blast Traumatic Brain Injury-Induced Cerebral Vasospasm. Translational Stroke Research. 5(3). 385–393. 26 indexed citations
16.
Feinberg, Adam W., Patrick W. Alford, Hongwei Jin, et al.. (2012). Controlling the contractile strength of engineered cardiac muscle by hierarchal tissue architecture. Biomaterials. 33(23). 5732–5741. 186 indexed citations
17.
Alford, Patrick W., Adam W. Feinberg, Sean P. Sheehy, & Kevin Kit Parker. (2010). Biohybrid thin films for measuring contractility in engineered cardiovascular muscle. Biomaterials. 31(13). 3613–3621. 133 indexed citations
18.
Alford, Patrick W. & Larry A. Taber. (2008). Computational study of growth and remodelling in the aortic arch. Computer Methods in Biomechanics & Biomedical Engineering. 11(5). 525–538. 45 indexed citations
19.
Alford, Patrick W., Jay D. Humphrey, & Larry A. Taber. (2007). Growth and remodeling in a thick-walled artery model: effects of spatial variations in wall constituents. Biomechanics and Modeling in Mechanobiology. 7(4). 245–262. 130 indexed citations
20.
Voronov, D. A., Patrick W. Alford, Gang Xu, & Larry A. Taber. (2004). The role of mechanical forces in dextral rotation during cardiac looping in the chick embryo. Developmental Biology. 272(2). 339–350. 86 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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