Ryan G. Wylie

2.1k total citations
38 papers, 1.6k citations indexed

About

Ryan G. Wylie is a scholar working on Biomedical Engineering, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ryan G. Wylie has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 10 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ryan G. Wylie's work include 3D Printing in Biomedical Research (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Hydrogels: synthesis, properties, applications (6 papers). Ryan G. Wylie is often cited by papers focused on 3D Printing in Biomedical Research (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Hydrogels: synthesis, properties, applications (6 papers). Ryan G. Wylie collaborates with scholars based in Canada, United States and France. Ryan G. Wylie's co-authors include Molly S. Shoichet, Yukie Aizawa, Daniel S. Kohane, Cindi M. Morshead, Karen L. Maxwell, Aoune Barhoumi, Róbert Langer, Gally Reznor, Nic D. Leipzig and Howard Kim and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Ryan G. Wylie

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan G. Wylie Canada 16 876 395 381 362 180 38 1.6k
Jianbin Xu China 24 1.1k 1.3× 549 1.4× 395 1.0× 549 1.5× 98 0.5× 47 2.4k
Siu Hong Dexter Wong Hong Kong 27 1.4k 1.6× 444 1.1× 414 1.1× 678 1.9× 294 1.6× 60 2.3k
Yukiko T. Matsunaga Japan 16 1.3k 1.5× 573 1.5× 170 0.4× 317 0.9× 118 0.7× 45 2.1k
Julieta I. Paez Germany 16 513 0.6× 296 0.7× 167 0.4× 191 0.5× 144 0.8× 36 1.1k
Benhui Hu China 18 613 0.7× 291 0.7× 331 0.9× 185 0.5× 98 0.5× 37 1.3k
Pengchao Zhao China 20 827 0.9× 535 1.4× 287 0.8× 240 0.7× 103 0.6× 37 1.9k
Jonathan M. Zuidema United States 21 703 0.8× 453 1.1× 218 0.6× 269 0.7× 98 0.5× 29 1.4k
Tessa Lühmann Germany 30 621 0.7× 531 1.3× 185 0.5× 806 2.2× 136 0.8× 86 2.2k
Jöns Hilborn Sweden 23 995 1.1× 675 1.7× 132 0.3× 297 0.8× 193 1.1× 41 1.9k
Antonina Lavrentieva Germany 26 946 1.1× 442 1.1× 209 0.5× 573 1.6× 118 0.7× 77 2.1k

Countries citing papers authored by Ryan G. Wylie

Since Specialization
Citations

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

Fields of papers citing papers by Ryan G. Wylie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan G. Wylie

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Wylie. A scholar is included among the top collaborators of Ryan G. Wylie 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 G. Wylie. Ryan G. Wylie 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.
Wylie, Ryan G., et al.. (2024). Rapid Systematic Screening of Bispecific Antibody Surrogate Geometries for T-Cell Engagement Using DNA Nanotechnology. Journal of the American Chemical Society. 146(43). 29824–29835. 2 indexed citations
2.
Jesmer, Alexander H., et al.. (2023). Controlled swelling of biomaterial devices for improved antifouling polymer coatings. Scientific Reports. 13(1). 19950–19950. 3 indexed citations
3.
Jesmer, Alexander H., et al.. (2023). A Modular Antibody‐Oligomer T Cell Engager for Applications in Local Therapies. Advanced Therapeutics. 6(11).
4.
Tatari, Nazanin, Neil Savage, Dillon McKenna, et al.. (2022). Real-time evaluation of a hydrogel delivery vehicle for cancer immunotherapeutics within embedded spheroid cultures. Journal of Controlled Release. 348. 386–396. 5 indexed citations
5.
Jesmer, Alexander H., et al.. (2021). Graft-Then-Shrink: Simultaneous Generation of Antifouling Polymeric Interfaces and Localized Surface Plasmon Resonance Biosensors. ACS Applied Materials & Interfaces. 13(44). 52362–52373. 6 indexed citations
6.
Jesmer, Alexander H. & Ryan G. Wylie. (2020). Controlling Experimental Parameters to Improve Characterization of Biomaterial Fouling. Frontiers in Chemistry. 8. 604236–604236. 12 indexed citations
7.
Ahmed, Rashik, Adree Khondker, Maikel C. Rheinstädter, et al.. (2019). Atomic resolution map of the soluble amyloid beta assembly toxic surfaces. Chemical Science. 10(24). 6072–6082. 55 indexed citations
8.
Ahmed, Rashik, et al.. (2019). Controlled degradation of low-fouling poly(oligo(ethylene glycol)methyl ether methacrylate) hydrogels. RSC Advances. 9(33). 18978–18988. 6 indexed citations
9.
Wylie, Ryan G., et al.. (2018). Competitive Affinity Release for Long‐Term Delivery of Antibodies from Hydrogels. Angewandte Chemie. 130(13). 3464–3468. 19 indexed citations
10.
Wylie, Ryan G., et al.. (2018). Competitive Affinity Release for Long‐Term Delivery of Antibodies from Hydrogels. Angewandte Chemie International Edition. 57(13). 3406–3410. 36 indexed citations
11.
McAlvin, J. Brian, Ryan G. Wylie, Minh-Thuy Nguyen, et al.. (2018). Antibody-modified conduits for highly selective cytokine elimination from blood. JCI Insight. 3(13). 4 indexed citations
12.
Jesmer, Alexander H., et al.. (2018). Influence of Hydrophobic Cross-Linkers on Carboxybetaine Copolymer Stimuli Response and Hydrogel Biological Properties. Langmuir. 35(5). 1631–1641. 19 indexed citations
13.
Wylie, Ryan G., et al.. (2018). Photolithographically assembled polyelectrolyte complexes as shape-directing templates for thermoreversible gels. Journal of Materials Chemistry B. 6(46). 7594–7604. 1 indexed citations
14.
Wylie, Ryan G., et al.. (2015). Selective binding of C-6 OH sulfated hyaluronic acid to the angiogenic isoform of VEGF165. Biomaterials. 77. 130–138. 46 indexed citations
15.
Barhoumi, Aoune, et al.. (2013). Enhanced Photothermal Effect of Plasmonic Nanoparticles Coated with Reduced Graphene Oxide. Nano Letters. 13(9). 4075–4079. 276 indexed citations
16.
Wylie, Ryan G., et al.. (2011). Spatially controlled simultaneous patterning of multiple growth factors in three-dimensional hydrogels. Nature Materials. 10(10). 799–806. 406 indexed citations
17.
18.
Leipzig, Nic D., Ryan G. Wylie, Howard Kim, & Molly S. Shoichet. (2010). Differentiation of neural stem cells in three-dimensional growth factor-immobilized chitosan hydrogel scaffolds. Biomaterials. 32(1). 57–64. 157 indexed citations
19.
Aizawa, Yukie, Ryan G. Wylie, & Molly S. Shoichet. (2010). Endothelial Cell Guidance in 3D Patterned Scaffolds. Advanced Materials. 22(43). 4831–4835. 90 indexed citations
20.
Wylie, Ryan G. & Molly S. Shoichet. (2008). Two-photon micropatterning of amines within an agarose hydrogel. Journal of Materials Chemistry. 18(23). 2716–2716. 60 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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