Thomas S. Wilems

860 total citations
18 papers, 721 citations indexed

About

Thomas S. Wilems is a scholar working on Biomedical Engineering, Biomaterials and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas S. Wilems has authored 18 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Biomaterials and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas S. Wilems's work include 3D Printing in Biomedical Research (7 papers), Nerve injury and regeneration (6 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Thomas S. Wilems is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Nerve injury and regeneration (6 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Thomas S. Wilems collaborates with scholars based in United States, Australia and India. Thomas S. Wilems's co-authors include Shelly E. Sakiyama‐Elbert, Elizabeth Cosgriff‐Hernandez, Mary Beth Browning, Mariah S. Hahn, Nisha Iyer, Stacy Cereceres, Jennifer Pardieck, Laura A. Smith Callahan, Hyun Ju Lim and Dany J. Munoz‐Pinto and has published in prestigious journals such as Biomaterials, Journal of Controlled Release and Acta Biomaterialia.

In The Last Decade

Thomas S. Wilems

18 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas S. Wilems United States 14 279 238 172 124 123 18 721
Laura M. Marquardt United States 14 287 1.0× 222 0.9× 284 1.7× 207 1.7× 134 1.1× 18 708
Anjana Jain United States 12 277 1.0× 229 1.0× 308 1.8× 122 1.0× 156 1.3× 12 858
Katarina Vulic Canada 7 183 0.7× 234 1.0× 181 1.1× 82 0.7× 168 1.4× 8 635
Nikolaos Mitrousis Canada 8 247 0.9× 181 0.8× 180 1.0× 122 1.0× 204 1.7× 10 644
Darice Y. Wong United States 11 234 0.8× 181 0.8× 153 0.9× 91 0.7× 166 1.3× 16 644
Karin S. Straley United States 5 141 0.5× 226 0.9× 214 1.2× 107 0.9× 84 0.7× 7 517
Guoxin Tan China 11 278 1.0× 250 1.1× 157 0.9× 221 1.8× 98 0.8× 16 801
Junquan Lin Singapore 13 179 0.6× 256 1.1× 230 1.3× 132 1.1× 240 2.0× 23 643
Xiaojun Yu United States 9 449 1.6× 271 1.1× 175 1.0× 151 1.2× 102 0.8× 13 745
Yunfan Kong United States 15 322 1.2× 257 1.1× 185 1.1× 224 1.8× 134 1.1× 22 831

Countries citing papers authored by Thomas S. Wilems

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Wilems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas S. Wilems

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

All Works

18 of 18 papers shown
1.
Cereceres, Stacy, Ziyang Lan, Laura K. Bryan, et al.. (2019). Bactericidal activity of 3D-printed hydrogel dressing loaded with gallium maltolate. APL Bioengineering. 3(2). 26102–26102. 28 indexed citations
2.
Cereceres, Stacy, Ziyang Lan, Laura K. Bryan, et al.. (2019). In Vivo Characterization of Poly(ethylene glycol) Hydrogels with Thio-β Esters. Annals of Biomedical Engineering. 48(3). 953–967. 12 indexed citations
3.
Wilems, Thomas S., et al.. (2019). The influence of microenvironment and extracellular matrix molecules in driving neural stem cell fate within biomaterials. Brain Research Bulletin. 148. 25–33. 36 indexed citations
4.
Lundin, Jeffrey G., Allix M. Sanders, Karli A. Gold, et al.. (2018). Hemostatic and Absorbent PolyHIPE–Kaolin Composites for 3D Printable Wound Dressing Materials. Macromolecular Bioscience. 18(5). e1700414–e1700414. 54 indexed citations
5.
Whitely, Michael, Stacy Cereceres, Prachi Dhavalikar, et al.. (2018). Improved in situ seeding of 3D printed scaffolds using cell-releasing hydrogels. Biomaterials. 185. 194–204. 62 indexed citations
6.
Lim, Hyun Ju, et al.. (2018). Mechanical stabilization of proteolytically degradable polyethylene glycol dimethacrylate hydrogels through peptide interaction. Acta Biomaterialia. 71. 271–278. 11 indexed citations
7.
8.
Sears, Nicholas A., Thomas S. Wilems, Karli A. Gold, et al.. (2018). Hydrocolloid Inks for 3D Printing of Porous Hydrogels. Advanced Materials Technologies. 4(2). 26 indexed citations
9.
10.
Kishan, Alysha, et al.. (2017). Synthesis and Characterization of Plug-and-Play Polyurethane Urea Elastomers as Biodegradable Matrixes for Tissue Engineering Applications. ACS Biomaterials Science & Engineering. 3(12). 3493–3502. 29 indexed citations
11.
Wilems, Thomas S., et al.. (2017). Effects of free radical initiators on polyethylene glycol dimethacrylate hydrogel properties and biocompatibility. Journal of Biomedical Materials Research Part A. 105(11). 3059–3068. 43 indexed citations
12.
Lim, Hyun Ju, Thomas S. Wilems, Sukhen C. Ghosh, et al.. (2016). Response to di-functionalized hyaluronic acid with orthogonal chemistry grafting at independent modification sites in rodent models of neural differentiation and spinal cord injury. Journal of Materials Chemistry B. 4(42). 6865–6875. 13 indexed citations
13.
Iyer, Nisha, Thomas S. Wilems, & Shelly E. Sakiyama‐Elbert. (2016). Stem cells for spinal cord injury: Strategies to inform differentiation and transplantation. Biotechnology and Bioengineering. 114(2). 245–259. 47 indexed citations
14.
Wilems, Thomas S. & Shelly E. Sakiyama‐Elbert. (2015). Sustained dual drug delivery of anti-inhibitory molecules for treatment of spinal cord injury. Journal of Controlled Release. 213. 103–111. 57 indexed citations
15.
Wilems, Thomas S., Jennifer Pardieck, Nisha Iyer, & Shelly E. Sakiyama‐Elbert. (2015). Combination therapy of stem cell derived neural progenitors and drug delivery of anti-inhibitory molecules for spinal cord injury. Acta Biomaterialia. 28. 23–32. 54 indexed citations
16.
McCreedy, Dylan A., Thomas S. Wilems, Hao Xu, et al.. (2014). Survival, differentiation, and migration of high-purity mouse embryonic stem cell-derived progenitor motor neurons in fibrin scaffolds after sub-acute spinal cord injury. Biomaterials Science. 2(11). 1672–1682. 51 indexed citations
17.
Browning, Mary Beth, Thomas S. Wilems, Mariah S. Hahn, & Elizabeth Cosgriff‐Hernandez. (2011). Compositional control of poly(ethylene glycol) hydrogel modulus independent of mesh size. Journal of Biomedical Materials Research Part A. 98A(2). 268–273. 80 indexed citations
18.
Cosgriff‐Hernandez, Elizabeth, Mariah S. Hahn, Brooke Russell, et al.. (2010). Bioactive hydrogels based on Designer Collagens. Acta Biomaterialia. 6(10). 3969–3977. 92 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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