Kevin Sheets

708 total citations
19 papers, 525 citations indexed

About

Kevin Sheets is a scholar working on Biomedical Engineering, Genetics and Developmental Neuroscience. According to data from OpenAlex, Kevin Sheets has authored 19 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Genetics and 7 papers in Developmental Neuroscience. Recurrent topics in Kevin Sheets's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Glioma Diagnosis and Treatment (6 papers) and 3D Printing in Biomedical Research (5 papers). Kevin Sheets is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Glioma Diagnosis and Treatment (6 papers) and 3D Printing in Biomedical Research (5 papers). Kevin Sheets collaborates with scholars based in United States, Czechia and United Kingdom. Kevin Sheets's co-authors include Amrinder S. Nain, Shawn Hingtgen, Robert W. Fox, Paul Gatenholm, Juli R. Bagó, Colin Ng, Puja Sharma, Subbiah Elankumaran, C. Ryan Miller and Feng‐Chang Lin and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Journal of Controlled Release.

In The Last Decade

Kevin Sheets

19 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Sheets United States 12 288 262 119 94 77 19 525
Mathilde Roger United Kingdom 10 210 0.7× 174 0.7× 51 0.4× 207 2.2× 96 1.2× 13 525
Kayla J. Wolf United States 11 227 0.8× 112 0.4× 147 1.2× 168 1.8× 89 1.2× 14 567
Alireza Sohrabi United States 14 390 1.4× 156 0.6× 174 1.5× 154 1.6× 115 1.5× 23 753
Aaron Short United States 6 219 0.8× 112 0.4× 99 0.8× 53 0.6× 49 0.6× 7 351
Bryan A. Sutermaster United States 4 238 0.8× 113 0.4× 82 0.7× 135 1.4× 36 0.5× 5 454
Arshia Ehsanipour United States 10 190 0.7× 89 0.3× 76 0.6× 115 1.2× 65 0.8× 11 469
Yen P. Kong United States 14 269 0.9× 139 0.5× 97 0.8× 173 1.8× 53 0.7× 19 527
Silvana Prokoph Germany 9 279 1.0× 295 1.1× 241 2.0× 202 2.1× 37 0.5× 10 746
Hsin-Hsin Shen Taiwan 14 188 0.7× 140 0.5× 43 0.4× 165 1.8× 34 0.4× 26 605
Marian H. Hettiaratchi United States 17 341 1.2× 215 0.8× 144 1.2× 219 2.3× 104 1.4× 29 887

Countries citing papers authored by Kevin Sheets

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Sheets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Sheets. 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 Kevin Sheets. The network helps show where Kevin Sheets may publish in the future.

Co-authorship network of co-authors of Kevin Sheets

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

All Works

19 of 19 papers shown
1.
Bagó, Juli R., et al.. (2021). Cytotoxic Engineered Induced Neural Stem Cells as an Intravenous Therapy for Primary Non–Small Cell Lung Cancer and Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 20(11). 2291–2301. 2 indexed citations
2.
Bomba, Hunter N., et al.. (2021). Use of FLOSEAL ® as a scaffold and its impact on induced neural stem cell phenotype, persistence, and efficacy. Bioengineering & Translational Medicine. 7(2). e10283–e10283. 7 indexed citations
3.
Detta, A., Garth Cruickshank, C. Ryan Miller, et al.. (2020). Development and in vivo evaluation of Irinotecan-loaded Drug Eluting Seeds (iDES) for the localised treatment of recurrent glioblastoma multiforme. Journal of Controlled Release. 324. 1–16. 14 indexed citations
4.
Sheets, Kevin, Matthew G. Ewend, Mahsa Mohiti‐Asli, et al.. (2020). Developing Implantable Scaffolds to Enhance Neural Stem Cell Therapy for Post-Operative Glioblastoma. Molecular Therapy. 28(4). 1056–1067. 25 indexed citations
5.
Bomba, Hunter N., Kevin Sheets, Simon Khagi, et al.. (2020). Personalized‐induced neural stem cell therapy: Generation, transplant, and safety in a large animal model. Bioengineering & Translational Medicine. 6(1). e10171–e10171. 13 indexed citations
6.
Graham-Gurysh, Elizabeth G., Kathryn M. Moore, Andrew Satterlee, et al.. (2018). Sustained Delivery of Doxorubicin via Acetalated Dextran Scaffold Prevents Glioblastoma Recurrence after Surgical Resection. Molecular Pharmaceutics. 15(3). 1309–1318. 50 indexed citations
7.
Sheets, Kevin, et al.. (2018). Image-Guided Resection of Glioblastoma and Intracranial Implantation of Therapeutic Stem Cell-seeded Scaffolds. Journal of Visualized Experiments. 6 indexed citations
8.
Irvin, David, Juli R. Bagó, Kevin Sheets, et al.. (2018). Intra-cavity stem cell therapy inhibits tumor progression in a novel murine model of medulloblastoma surgical resection. PLoS ONE. 13(7). e0198596–e0198596. 10 indexed citations
9.
Sheets, Kevin, Juli R. Bagó, & Shawn Hingtgen. (2018). Delivery of Cytotoxic Mesenchymal Stem Cells with Biodegradable Scaffolds for Treatment of Postoperative Brain Cancer. Methods in molecular biology. 1831. 49–58. 11 indexed citations
10.
Sheets, Kevin, et al.. (2018). Image-Guided Resection of Glioblastoma and Intracranial Implantation of Therapeutic Stem Cell-seeded Scaffolds. Journal of Visualized Experiments. 3 indexed citations
11.
Sheets, Kevin, et al.. (2017). Nanonet force microscopy for measuring forces in single smooth muscle cells of the human aorta. Molecular Biology of the Cell. 28(14). 1894–1900. 11 indexed citations
12.
Sheets, Kevin, Ji Wang, Wei Zhao, Rakesh K. Kapania, & Amrinder S. Nain. (2016). Nanonet Force Microscopy for Measuring Cell Forces. Biophysical Journal. 111(1). 197–207. 31 indexed citations
13.
Bagó, Juli R., Kevin Sheets, & Shawn Hingtgen. (2015). Neural stem cell therapy for cancer. Methods. 99. 37–43. 51 indexed citations
14.
Sharma, Puja, Ahram Kim, Ji Wang, et al.. (2014). Aligned and suspended fiber force probes for drug testing at single cell resolution. Biofabrication. 6(4). 45006–45006. 6 indexed citations
15.
Sheets, Kevin, et al.. (2013). Shape-dependent cell migration and focal adhesion organization on suspended and aligned nanofiber scaffolds. Acta Biomaterialia. 9(7). 7169–7177. 89 indexed citations
16.
Sharma, Puja, Kevin Sheets, Subbiah Elankumaran, & Amrinder S. Nain. (2013). The mechanistic influence of aligned nanofibers on cell shape, migration and blebbing dynamics of glioma cells. Integrative Biology. 5(8). 1036–1044. 44 indexed citations
17.
Sheets, Kevin, et al.. (2013). Cell-Fiber Interactions on Aligned and Suspended Nanofiber Scaffolds. Journal of Biomaterials and Tissue Engineering. 3(4). 355–368. 24 indexed citations
18.
Johnson, Nicholas, et al.. (2012). Modeling the effect of exogenous melatonin on the sleep-wake switch.. PubMed. 48. 202–9. 2 indexed citations
19.
Sheets, Kevin, et al.. (2009). Biomimetic design of a bacterial cellulose/hydroxyapatite nanocomposite for bone healing applications. Materials Science and Engineering C. 31(1). 43–49. 126 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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