Charles S. Wallace

522 total citations
10 papers, 432 citations indexed

About

Charles S. Wallace is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Charles S. Wallace has authored 10 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Biomaterials and 4 papers in Biomedical Engineering. Recurrent topics in Charles S. Wallace's work include Electrospun Nanofibers in Biomedical Applications (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cell Adhesion Molecules Research (3 papers). Charles S. Wallace is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cell Adhesion Molecules Research (3 papers). Charles S. Wallace collaborates with scholars based in United States and India. Charles S. Wallace's co-authors include George A. Truskey, Melissa A. Brown, Mathew G. Angelos, W.M. Reichert, John C. Champion, Myles Brown, Zhengyu Pang, Laura E. Niklason, Thomas Stäbler and Hardean E. Achneck and has published in prestigious journals such as The Lancet, Biomaterials and Acta Biomaterialia.

In The Last Decade

Charles S. Wallace

10 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles S. Wallace United States 9 186 160 149 135 51 10 432
Christopher Yu United States 10 173 0.9× 171 1.1× 212 1.4× 116 0.9× 94 1.8× 11 668
Takatora Takada Japan 5 260 1.4× 216 1.4× 108 0.7× 83 0.6× 141 2.8× 6 685
A. Aguilar Cuba 9 213 1.1× 126 0.8× 89 0.6× 46 0.3× 31 0.6× 15 524
Francine Goulet Canada 14 166 0.9× 169 1.1× 207 1.4× 290 2.1× 92 1.8× 36 747
Seung‐Ki Min South Korea 15 176 0.9× 168 1.1× 63 0.4× 80 0.6× 31 0.6× 27 534
Qiaozhi Lu United States 14 162 0.9× 280 1.8× 115 0.8× 141 1.0× 37 0.7× 16 640
K M DeFife United States 6 115 0.6× 152 0.9× 117 0.8× 114 0.8× 44 0.9× 8 508
Donny Hanjaya‐Putra United States 12 222 1.2× 169 1.1× 118 0.8× 118 0.9× 88 1.7× 23 605
Melanie Kunze Canada 15 119 0.6× 174 1.1× 71 0.5× 179 1.3× 22 0.4× 37 596
Anne Gigout Germany 12 162 0.9× 79 0.5× 65 0.4× 113 0.8× 42 0.8× 27 490

Countries citing papers authored by Charles S. Wallace

Since Specialization
Citations

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

Fields of papers citing papers by Charles S. Wallace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles S. Wallace

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

All Works

10 of 10 papers shown
1.
Vernekar, Varadraj N., et al.. (2014). Bi-ligand surfaces with oriented and patterned protein for real-time tracking of cell migration. Colloids and Surfaces B Biointerfaces. 123. 225–235. 3 indexed citations
2.
Fernández, Cristina E., et al.. (2013). Late-outgrowth endothelial progenitors from patients with coronary artery disease: Endothelialization of confluent stromal cell layers. Acta Biomaterialia. 10(2). 893–900. 9 indexed citations
3.
Achneck, Hardean E., Ryan M. Jamiolkowski, J. Haseltine, et al.. (2010). The biocompatibility of titanium cardiovascular devices seeded with autologous blood-derived endothelial progenitor cells. Biomaterials. 32(1). 10–18. 69 indexed citations
4.
Wallace, Charles S. & George A. Truskey. (2010). Direct-contact co-culture between smooth muscle and endothelial cells inhibits TNF-α-mediated endothelial cell activation. American Journal of Physiology-Heart and Circulatory Physiology. 299(2). H338–H346. 43 indexed citations
5.
Brown, Melissa A., Charles S. Wallace, Mathew G. Angelos, & George A. Truskey. (2009). Characterization of Umbilical Cord Blood–Derived Late Outgrowth Endothelial Progenitor Cells Exposed to Laminar Shear Stress. Tissue Engineering Part A. 15(11). 3575–3587. 66 indexed citations
6.
Wallace, Charles S., et al.. (2007). Smooth muscle cell rigidity and extracellular matrix organization influence endothelial cell spreading and adhesion formation in coculture. American Journal of Physiology-Heart and Circulatory Physiology. 293(3). H1978–H1986. 25 indexed citations
8.
Wallace, Charles S., John C. Champion, & George A. Truskey. (2006). Adhesion and Function of Human Endothelial Cells Co-cultured on Smooth Muscle Cells. Annals of Biomedical Engineering. 35(3). 375–386. 46 indexed citations
9.
Pang, Zhengyu, et al.. (2005). A system for the direct co-culture of endothelium on smooth muscle cells. Biomaterials. 26(22). 4642–4653. 65 indexed citations
10.
Wallace, Charles S.. (1967). PROBABLE GALLBLADDER INFECTION IN CONVALESCENT CHOLERA PATIENTS. The Lancet. 289(7495). 865–868. 22 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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