Ryan J. Petrie

4.6k total citations · 1 hit paper
32 papers, 3.0k citations indexed

About

Ryan J. Petrie is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Ryan J. Petrie has authored 32 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cell Biology, 14 papers in Molecular Biology and 12 papers in Biomedical Engineering. Recurrent topics in Ryan J. Petrie's work include Cellular Mechanics and Interactions (22 papers), 3D Printing in Biomedical Research (11 papers) and Cell Adhesion Molecules Research (5 papers). Ryan J. Petrie is often cited by papers focused on Cellular Mechanics and Interactions (22 papers), 3D Printing in Biomedical Research (11 papers) and Cell Adhesion Molecules Research (5 papers). Ryan J. Petrie collaborates with scholars based in United States, Canada and Japan. Ryan J. Petrie's co-authors include Kenneth M. Yamada, Andrew D. Doyle, Hyun Koo, Núria Gavara, Richard S. Chadwick, Julie P. Deans, Matthew L. Kutys, Kamala D. Patel, Nathalie Lamarche‐Vane and Alba Diz-Muñoz and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Ryan J. Petrie

31 papers receiving 3.0k citations

Hit Papers

Random versus directionally persistent cell migration 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan J. Petrie United States 21 1.8k 1.1k 902 431 351 32 3.0k
Karen A. Beningo United States 23 1.8k 1.0× 731 0.7× 989 1.1× 247 0.6× 468 1.3× 28 2.8k
Michele A. Wozniak United States 18 1.8k 1.0× 1.1k 1.0× 1.1k 1.2× 554 1.3× 540 1.5× 19 3.2k
Kimberly M. Stroka United States 24 1.1k 0.6× 832 0.7× 827 0.9× 361 0.8× 239 0.7× 49 2.2k
P.C. Dave P. Dingal United States 14 1.9k 1.1× 1.8k 1.6× 804 0.9× 313 0.7× 174 0.5× 18 3.3k
Matthew Raab United States 11 1.5k 0.8× 1.1k 1.0× 850 0.9× 213 0.5× 191 0.5× 11 2.5k
Kris A. DeMali United States 30 1.8k 1.0× 1.8k 1.6× 443 0.5× 336 0.8× 768 2.2× 51 3.8k
Elliot L. Botvinick United States 32 1.5k 0.8× 1.6k 1.4× 1.0k 1.2× 370 0.9× 237 0.7× 78 3.8k
Ravi A. Desai United States 22 1.8k 1.0× 1.2k 1.1× 1.6k 1.7× 284 0.7× 241 0.7× 32 3.3k
Alba Diz-Muñoz Germany 22 1.5k 0.8× 987 0.9× 682 0.8× 250 0.6× 193 0.5× 35 2.6k
Colin K. Choi United States 18 1.9k 1.1× 1.1k 1.0× 1.3k 1.4× 302 0.7× 712 2.0× 21 3.2k

Countries citing papers authored by Ryan J. Petrie

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Petrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan J. Petrie

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan J. Petrie. A scholar is included among the top collaborators of Ryan J. Petrie 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 Ryan J. Petrie. Ryan J. Petrie 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.
Whitaker, Ricardo, et al.. (2025). Effects of injury size on local and systemic immune cell dynamics in volumetric muscle loss. npj Regenerative Medicine. 10(1). 9–9. 2 indexed citations
3.
Baird, Michelle A., et al.. (2022). Plectin linkages are mechanosensitive and required for the nuclear piston mechanism of three-dimensional cell migration. Molecular Biology of the Cell. 33(12). ar104–ar104. 10 indexed citations
4.
Gómez, Daniela, Lyndsay Avery, Nathan H. Roy, et al.. (2021). Lymphocyte egress signal sphingosine-1-phosphate promotes ERM-guided, bleb-based migration. The Journal of Cell Biology. 220(6). 21 indexed citations
5.
Petrie, Ryan J., et al.. (2021). Push or pull: how cytoskeletal crosstalk facilitates nuclear movement through 3D environments. Physical Biology. 19(2). 21003–21003. 9 indexed citations
6.
Witherel, Claire E., Becky K. Brisson, Biao Han, et al.. (2021). Regulation of extracellular matrix assembly and structure by hybrid M1/M2 macrophages. Biomaterials. 269. 120667–120667. 158 indexed citations
7.
Petrie, Ryan J., et al.. (2021). Cytoplasmic pressure maintains epithelial integrity and inhibits cell motility. Physical Biology. 18(6). 66003–66003. 2 indexed citations
8.
Chan, Chii Jou, Maria Costanzo, Teresa Ruiz-Herrero, et al.. (2019). Hydraulic control of mammalian embryo size and cell fate. Nature. 571(7763). 112–116. 228 indexed citations
9.
Doyle, Andrew D., et al.. (2019). Myosin II governs intracellular pressure and traction by distinct tropomyosin-dependent mechanisms. Molecular Biology of the Cell. 30(10). 1170–1181. 28 indexed citations
10.
Petrie, Ryan J., et al.. (2018). Intracellular Pressure: A Driver of Cell Morphology and Movement. International review of cell and molecular biology. 337. 185–211. 22 indexed citations
11.
Petrie, Ryan J. & Kenneth M. Yamada. (2015). Fibroblasts Lead the Way: A Unified View of 3D Cell Motility. Trends in Cell Biology. 25(11). 666–674. 68 indexed citations
12.
Petrie, Ryan J., Hyun Koo, & Kenneth M. Yamada. (2014). Generation of compartmentalized pressure by a nuclear piston governs cell motility in a 3D matrix. Science. 345(6200). 1062–1065. 277 indexed citations
13.
Petrie, Ryan J., et al.. (2014). The β-actin mRNA zipcode regulates epithelial adherens junction assembly but not maintenance. RNA. 20(5). 689–701. 14 indexed citations
14.
Petrie, Ryan J. & Kenneth M. Yamada. (2012). At the leading edge of three-dimensional cell migration. Journal of Cell Science. 125(24). 5917–5926. 241 indexed citations
15.
Chevallier, Julien, et al.. (2009). Rab35 regulates neurite outgrowth and cell shape. FEBS Letters. 583(7). 1096–1101. 79 indexed citations
16.
Petrie, Ryan J., Andrew D. Doyle, & Kenneth M. Yamada. (2009). Random versus directionally persistent cell migration. Nature Reviews Molecular Cell Biology. 10(8). 538–549. 732 indexed citations breakdown →
17.
Petrie, Ryan J., et al.. (2008). Compartmentalized DCC signalling is distinct from DCC localized to lipid rafts. Biology of the Cell. 101(2). 77–90. 7 indexed citations
18.
Robert, Amélie, Marie-Claude Landry, Claudia Champagne, et al.. (2006). Adenovirus E4orf4 Hijacks Rho GTPase-dependent Actin Dynamics to Kill Cells: A Role for Endosome-associated Actin Assembly. Molecular Biology of the Cell. 17(7). 3329–3344. 32 indexed citations
19.
Petrie, Ryan J. & Julie P. Deans. (2002). Colocalization of the B Cell Receptor and CD20 Followed by Activation-Dependent Dissociation in Distinct Lipid Rafts. The Journal of Immunology. 169(6). 2886–2891. 69 indexed citations
20.
Petrie, Ryan J., Paul P. M. Schnetkamp, Kamala D. Patel, Manjula Kalia, & Julie P. Deans. (2000). Transient Translocation of the B Cell Receptor and Src Homology 2 Domain-Containing Inositol Phosphatase to Lipid Rafts: Evidence Toward a Role in Calcium Regulation. The Journal of Immunology. 165(3). 1220–1227. 127 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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