Jacklyn Whitehead

754 total citations
10 papers, 605 citations indexed

About

Jacklyn Whitehead is a scholar working on Genetics, Biomedical Engineering and Surgery. According to data from OpenAlex, Jacklyn Whitehead has authored 10 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Jacklyn Whitehead's work include Mesenchymal stem cell research (7 papers), 3D Printing in Biomedical Research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Jacklyn Whitehead is often cited by papers focused on Mesenchymal stem cell research (7 papers), 3D Printing in Biomedical Research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Jacklyn Whitehead collaborates with scholars based in United States and Russia. Jacklyn Whitehead's co-authors include J. Kent Leach, Dejie Zhou, Kaitlin C. Murphy, Steve S. Ho, Charlotte E. Vorwald, Scott I. Simon, Marissa Gionet‐Gonzales, Jiali Zhang, Gang-yu Liu and Mohamad Sleiman and has published in prestigious journals such as Biomaterials, The Journal of Physical Chemistry B and Acta Biomaterialia.

In The Last Decade

Jacklyn Whitehead

10 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacklyn Whitehead United States 10 290 188 163 161 133 10 605
Tieshi Li United States 16 190 0.7× 134 0.7× 141 0.9× 151 0.9× 221 1.7× 17 767
Dejie Zhou United States 5 196 0.7× 200 1.1× 121 0.7× 149 0.9× 104 0.8× 8 435
Petra Bauer‐Kreisel Germany 12 252 0.9× 218 1.2× 236 1.4× 179 1.1× 158 1.2× 17 615
In‐Su Park South Korea 17 150 0.5× 257 1.4× 170 1.0× 234 1.5× 174 1.3× 32 700
Ektoras Hadjipanayi Germany 14 357 1.2× 120 0.6× 279 1.7× 170 1.1× 123 0.9× 25 815
Zhi Peng China 7 312 1.1× 57 0.3× 148 0.9× 94 0.6× 170 1.3× 12 700
Olwyn R. Mahon Ireland 11 396 1.4× 78 0.4× 158 1.0× 226 1.4× 202 1.5× 14 780
Xiangkai Zhang Japan 17 382 1.3× 63 0.3× 144 0.9× 218 1.4× 156 1.2× 37 803
David R. Maestas United States 11 268 0.9× 87 0.5× 214 1.3× 306 1.9× 244 1.8× 17 924
Rameshwar R. Rao United States 16 440 1.5× 113 0.6× 260 1.6× 245 1.5× 175 1.3× 27 788

Countries citing papers authored by Jacklyn Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Jacklyn Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacklyn Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of Jacklyn Whitehead. A scholar is included among the top collaborators of Jacklyn Whitehead 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 Jacklyn Whitehead. Jacklyn Whitehead 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.
Whitehead, Jacklyn, et al.. (2020). Hydrogel mechanics are a key driver of bone formation by mesenchymal stromal cell spheroids. Biomaterials. 269. 120607–120607. 71 indexed citations
2.
Whitehead, Jacklyn, et al.. (2019). Tunneling nanotubes mediate the expression of senescence markers in mesenchymal stem/stromal cell spheroids. Stem Cells. 38(1). 80–89. 27 indexed citations
3.
Whitehead, Jacklyn, et al.. (2019). Morphogen Delivery by Osteoconductive Nanoparticles Instructs Stromal Cell Spheroid Phenotype. Advanced Biosystems. 3(12). 11 indexed citations
4.
Vorwald, Charlotte E., Steve S. Ho, Jacklyn Whitehead, & J. Kent Leach. (2018). High-Throughput Formation of Mesenchymal Stem Cell Spheroids and Entrapment in Alginate Hydrogels. Methods in molecular biology. 1758. 139–149. 27 indexed citations
5.
Zhang, Jiali, Jacklyn Whitehead, Yang Liu, et al.. (2018). Direct Observation of Tunneling Nanotubes within Human Mesenchymal Stem Cell Spheroids. The Journal of Physical Chemistry B. 122(43). 9920–9926. 17 indexed citations
6.
Murphy, Kaitlin C., Jacklyn Whitehead, Dejie Zhou, Steve S. Ho, & J. Kent Leach. (2017). Engineering fibrin hydrogels to promote the wound healing potential of mesenchymal stem cell spheroids. Acta Biomaterialia. 64. 176–186. 151 indexed citations
7.
Whitehead, Jacklyn, et al.. (2017). Bioreactor culture duration of engineered constructs influences bone formation by mesenchymal stem cells. Biomaterials. 146. 29–39. 64 indexed citations
8.
Leach, J. Kent & Jacklyn Whitehead. (2017). Materials-Directed Differentiation of Mesenchymal Stem Cells for Tissue Engineering and Regeneration. ACS Biomaterials Science & Engineering. 4(4). 1115–1127. 115 indexed citations
9.
Murphy, Kaitlin C., et al.. (2017). Multifactorial Experimental Design to Optimize the Anti-Inflammatory and Proangiogenic Potential of Mesenchymal Stem Cell Spheroids. Stem Cells. 35(6). 1493–1504. 81 indexed citations
10.
Bahl, Vasundhra, et al.. (2015). Cytotoxicity of Thirdhand Smoke and Identification of Acrolein as a Volatile Thirdhand Smoke Chemical That Inhibits Cell Proliferation. Toxicological Sciences. 150(1). 234–246. 41 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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2026