Kara E. McCloskey

1.7k total citations
50 papers, 1.3k citations indexed

About

Kara E. McCloskey is a scholar working on Biomedical Engineering, Molecular Biology and Cell Biology. According to data from OpenAlex, Kara E. McCloskey has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 26 papers in Molecular Biology and 15 papers in Cell Biology. Recurrent topics in Kara E. McCloskey's work include 3D Printing in Biomedical Research (21 papers), Pluripotent Stem Cells Research (15 papers) and Angiogenesis and VEGF in Cancer (13 papers). Kara E. McCloskey is often cited by papers focused on 3D Printing in Biomedical Research (21 papers), Pluripotent Stem Cells Research (15 papers) and Angiogenesis and VEGF in Cancer (13 papers). Kara E. McCloskey collaborates with scholars based in United States, Israel and France. Kara E. McCloskey's co-authors include Jeffrey J. Chalmers, Maciej Zborowski, Robert M. Nerem, Lee R. Moore, Michelle Khine, Silin Sa, Mauricio Hoyos, Shlomo Margel, Steven L. Stice and Jonathan Pegan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Kara E. McCloskey

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kara E. McCloskey United States 22 827 476 232 178 168 50 1.3k
Giovanni S. Offeddu United States 20 870 1.1× 279 0.6× 155 0.7× 357 2.0× 156 0.9× 29 1.5k
Kyung E. Sung United States 22 1.1k 1.4× 326 0.7× 115 0.5× 184 1.0× 278 1.7× 47 1.6k
Silviya P. Zustiak United States 25 997 1.2× 290 0.6× 270 1.2× 627 3.5× 311 1.9× 74 2.0k
Guillaume Blin United Kingdom 18 449 0.5× 873 1.8× 138 0.6× 227 1.3× 217 1.3× 30 1.6k
R. Iyer United States 21 675 0.8× 317 0.7× 658 2.8× 462 2.6× 90 0.5× 42 1.6k
Wong Cheng Lee Singapore 14 2.3k 2.8× 245 0.5× 172 0.7× 420 2.4× 80 0.5× 16 2.7k
Xinlong Wang Japan 22 830 1.0× 341 0.7× 183 0.8× 382 2.1× 277 1.6× 45 1.6k
Haijiao Liu Canada 16 446 0.5× 271 0.6× 131 0.6× 97 0.5× 336 2.0× 27 877
Vernella Vickerman United States 10 1.0k 1.3× 481 1.0× 214 0.9× 156 0.9× 250 1.5× 11 1.4k
Keith H.K. Wong United States 17 1.0k 1.2× 438 0.9× 171 0.7× 199 1.1× 109 0.6× 40 1.6k

Countries citing papers authored by Kara E. McCloskey

Since Specialization
Citations

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

Fields of papers citing papers by Kara E. McCloskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kara E. McCloskey. 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 Kara E. McCloskey. The network helps show where Kara E. McCloskey may publish in the future.

Co-authorship network of co-authors of Kara E. McCloskey

This figure shows the co-authorship network connecting the top 25 collaborators of Kara E. McCloskey. A scholar is included among the top collaborators of Kara E. McCloskey 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 Kara E. McCloskey. Kara E. McCloskey 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.
McCloskey, Kara E., et al.. (2025). Cannabidiol Toxicity Driven by Hydroxyquinone Formation. Chemical Research in Toxicology. 38(2). 231–235.
2.
McCloskey, Kara E., et al.. (2024). An Endothelial Cell Is Not Simply an Endothelial Cell. Stem Cells and Development. 33(19-20). 517–527.
4.
McCloskey, Kara E., et al.. (2022). Tuning three-dimensional nano-assembly in the mesoscale via bis(imino)pyridine molecular functionalization. Scientific Reports. 12(1). 844–844. 1 indexed citations
5.
McCloskey, Kara E., et al.. (2020). Affordable, high-resolution bioprinting with embedded concentration gradients. Bioprinting. 21. e00113–e00113. 19 indexed citations
6.
Happe, Cassandra, et al.. (2019). Substrate stiffness directs diverging vascular fates. Acta Biomaterialia. 96. 321–329. 37 indexed citations
7.
McCloskey, Kara E., et al.. (2019). Differentiation and expansion of endothelial cells requires pre-optimization of KDR+ expression kinetics. Stem Cell Research. 42. 101685–101685. 6 indexed citations
8.
Lin, Zhiqiang, et al.. (2018). Co-Emergence of Specialized Endothelial Cells from Embryonic Stem Cells. Stem Cells and Development. 27(5). 326–335. 4 indexed citations
9.
McCloskey, Kara E., et al.. (2017). Development of Mural Cells: From In Vivo Understanding to In Vitro Recapitulation. Stem Cells and Development. 26(14). 1020–1041. 10 indexed citations
10.
Singh, Simar, et al.. (2017). Metabolic shift in density-dependent stem cell differentiation. Cell Communication and Signaling. 15(1). 44–44. 16 indexed citations
11.
Turner, William S., Nicholas White, Samuel Reyes, et al.. (2016). Multifactorial Optimizations for Directing Endothelial Fate from Stem Cells. PLoS ONE. 11(12). e0166663–e0166663. 14 indexed citations
12.
Turner, William S., et al.. (2014). Tissue Engineering: Construction of a Multicellular 3D Scaffold for the Delivery of Layered Cell Sheets. Journal of Visualized Experiments. e51044–e51044. 2 indexed citations
13.
McCloskey, Kara E., et al.. (2014). Specialized mouse embryonic stem cells for studying vascular development. PubMed. 7. 79–79. 5 indexed citations
14.
Luna, Jesus I., et al.. (2013). Endothelial cells derived from embryonic stem cells respond to cues from topographical surface patterns. Journal of Biological Engineering. 7(1). 18–18. 15 indexed citations
15.
McCloskey, Kara E., et al.. (2012). Specialized Tip/Stalk-Like and Phalanx-Like Endothelial Cells from Embryonic Stem Cells. Stem Cells and Development. 22(9). 1398–1407. 25 indexed citations
16.
Luna, Jesus I., Jesús Ciriza, Marcos E. García‐Ojeda, et al.. (2011). Multiscale Biomimetic Topography for the Alignment of Neonatal and Embryonic Stem Cell-Derived Heart Cells. Tissue Engineering Part C Methods. 17(5). 579–588. 63 indexed citations
17.
McCloskey, Kara E., et al.. (2009). Can shear stress direct stem cell fate?. Biotechnology Progress. 25(1). 10–19. 151 indexed citations
18.
McCloskey, Kara E., Steven L. Stice, & Robert M. Nerem. (2006). In Vitro Derivation and Expansion of Endothelial Cells From Embryonic Stem Cells. Humana Press eBooks. 330. 287–302. 22 indexed citations
19.
McCloskey, Kara E., Kristin Comella, Jeffrey J. Chalmers, Shlomo Margel, & Maciej Zborowski. (2001). Mobility measurements of immunomagnetically labeled cells allow quantitation of secondary antibody binding amplification. Biotechnology and Bioengineering. 75(6). 642–655. 25 indexed citations
20.
Chalmers, Jeffrey J., Seungjoo Haam, Yang Zhao, et al.. (1999). Quantification of cellular properties from external fields and resulting induced velocity: Cellular hydrodynamic diameter. Biotechnology and Bioengineering. 64(5). 509–518. 20 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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