Ryan S. Stowers

3.7k total citations · 3 hit papers
24 papers, 3.0k citations indexed

About

Ryan S. Stowers is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Ryan S. Stowers has authored 24 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cell Biology, 13 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Ryan S. Stowers's work include Cellular Mechanics and Interactions (14 papers), 3D Printing in Biomedical Research (11 papers) and Microtubule and mitosis dynamics (4 papers). Ryan S. Stowers is often cited by papers focused on Cellular Mechanics and Interactions (14 papers), 3D Printing in Biomedical Research (11 papers) and Microtubule and mitosis dynamics (4 papers). Ryan S. Stowers collaborates with scholars based in United States, Sweden and Canada. Ryan S. Stowers's co-authors include Ovijit Chaudhuri, Thomas L. Schwarz, Sungmin Nam, Yan Xia, Junzhe Lou, Elizabeth E Glater, Laura J. Suggs, Jolanta Górska‐Andrzejak, Ian A. Meinertzhagen and Shane C. Allen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Ryan S. Stowers

20 papers receiving 3.0k citations

Hit Papers

Axonal transport of mitochondria requires milton to recru... 2006 2026 2012 2019 2006 2017 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan S. Stowers United States 17 1.2k 1.1k 1.0k 534 469 24 3.0k
Xiang Yao China 29 1.7k 1.5× 746 0.7× 1.4k 1.3× 837 1.6× 485 1.0× 71 4.0k
Bo Ri Seo United States 24 580 0.5× 536 0.5× 1.5k 1.4× 629 1.2× 216 0.5× 30 3.5k
Dmitry Shvartsman United States 17 979 0.8× 768 0.7× 1.3k 1.2× 667 1.2× 125 0.3× 21 2.8k
Adrian Ranga Belgium 23 1.1k 0.9× 550 0.5× 1.6k 1.6× 379 0.7× 231 0.5× 48 2.9k
Roland Kaunas United States 26 721 0.6× 1.3k 1.1× 2.5k 2.4× 659 1.2× 145 0.3× 47 3.9k
Stephanie K. Seidlits United States 27 548 0.5× 388 0.3× 941 0.9× 570 1.1× 790 1.7× 52 2.5k
Richard G. LeBaron United States 29 1.2k 1.1× 1.2k 1.1× 507 0.5× 510 1.0× 196 0.4× 53 3.2k
Christopher M. Madl United States 21 539 0.5× 522 0.5× 1.3k 1.3× 732 1.4× 234 0.5× 31 2.4k
Anna Urciuolo Italy 16 1.4k 1.2× 529 0.5× 797 0.8× 445 0.8× 204 0.4× 35 2.8k
Nicolas Broguière Switzerland 23 821 0.7× 375 0.3× 1.4k 1.3× 313 0.6× 184 0.4× 34 2.5k

Countries citing papers authored by Ryan S. Stowers

Since Specialization
Citations

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

Fields of papers citing papers by Ryan S. Stowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan S. Stowers

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan S. Stowers. A scholar is included among the top collaborators of Ryan S. Stowers 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 S. Stowers. Ryan S. Stowers 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.
Moore, Jill E., et al.. (2025). Extracellular Matrix Viscoelasticity Regulates Mammary Branching Morphogenesis. Advanced Science. 13(3). e12873–e12873.
3.
Stowers, Ryan S., et al.. (2024). Viscoelastic and phototunable GelMA-alginate hydrogels for 3D cell culture. MRS Advances. 9(8). 505–511. 11 indexed citations
4.
Pitenis, Angela A., et al.. (2024). Stress relaxation rates of myocardium from failing and non-failing hearts. Biomechanics and Modeling in Mechanobiology. 24(1). 265–280. 1 indexed citations
5.
Gionet‐Gonzales, Marissa, et al.. (2023). Engineering viscoelastic alginate hydrogels for hiPSC cardiomyocyte culture. Biophysical Journal. 122(3). 454a–454a.
6.
Stowers, Ryan S.. (2021). Advances in Extracellular Matrix-Mimetic Hydrogels to Guide Stem Cell Fate. Cells Tissues Organs. 211(6). 703–720. 26 indexed citations
7.
Stowers, Ryan S., et al.. (2021). Engineering hydrogels for personalized disease modeling and regenerative medicine. Acta Biomaterialia. 132. 4–22. 48 indexed citations
8.
Nam, Sungmin, Ryan S. Stowers, Junzhe Lou, Yan Xia, & Ovijit Chaudhuri. (2019). Varying PEG density to control stress relaxation in alginate-PEG hydrogels for 3D cell culture studies. Biomaterials. 200. 15–24. 229 indexed citations
9.
Stowers, Ryan S., Anna Shcherbina, Johnny Israeli, et al.. (2019). Matrix stiffness induces a tumorigenic phenotype in mammary epithelium through changes in chromatin accessibility. Nature Biomedical Engineering. 3(12). 1009–1019. 165 indexed citations
10.
Lee, Hong-Pyo, Ryan S. Stowers, & Ovijit Chaudhuri. (2019). Volume expansion and TRPV4 activation regulate stem cell fate in three-dimensional microenvironments. Nature Communications. 10(1). 529–529. 190 indexed citations
11.
Lee, Joanna Y., Antonia A. Dominguez, Sungmin Nam, et al.. (2019). Identification of cell context-dependent YAP-associated proteins reveals β1 and β4 integrin mediate YAP translocation independently of cell spreading. Scientific Reports. 9(1). 17188–17188. 16 indexed citations
12.
Lou, Junzhe, Ryan S. Stowers, Sungmin Nam, Yan Xia, & Ovijit Chaudhuri. (2017). Stress relaxing hyaluronic acid-collagen hydrogels promote cell spreading, fiber remodeling, and focal adhesion formation in 3D cell culture. Biomaterials. 154. 213–222. 426 indexed citations breakdown →
13.
Madl, Christopher M., Bauer L. LeSavage, Ruby E. Dewi, et al.. (2017). Maintenance of neural progenitor cell stemness in 3D hydrogels requires matrix remodelling. Nature Materials. 16(12). 1233–1242. 338 indexed citations breakdown →
14.
Stowers, Ryan S., Shane C. Allen, Karla Sanchez, et al.. (2016). Extracellular Matrix Stiffening Induces a Malignant Phenotypic Transition in Breast Epithelial Cells. Cellular and Molecular Bioengineering. 10(1). 114–123. 50 indexed citations
15.
Stowers, Ryan S., Shane C. Allen, & Laura J. Suggs. (2015). Dynamic phototuning of 3D hydrogel stiffness. Proceedings of the National Academy of Sciences. 112(7). 1953–1958. 267 indexed citations
16.
Chung, Eunna, Laura M. Ricles, Ryan S. Stowers, et al.. (2012). Multifunctional nanoscale strategies for enhancing and monitoring blood vessel regeneration. Nano Today. 7(6). 514–531. 16 indexed citations
17.
Shanmuganathan, S, Shanmugasundaram Natesan, Ryan S. Stowers, et al.. (2011). A PEGylated fibrin-based wound dressing with antimicrobial and angiogenic activity. Acta Biomaterialia. 7(7). 2787–2796. 49 indexed citations
19.
Busygina, Valeria, et al.. (2004). Hypermutability in a Drosophila model for multiple endocrine neoplasia type 1. Human Molecular Genetics. 13(20). 2399–2408. 46 indexed citations
20.
Stowers, Ryan S., et al.. (2002). Axonal Transport of Mitochondria to Synapses Depends on Milton, a Novel Drosophila Protein. Neuron. 36(6). 1063–1077. 498 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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