David R. Maestas

1.4k total citations
17 papers, 924 citations indexed

About

David R. Maestas is a scholar working on Surgery, Biomaterials and Immunology. According to data from OpenAlex, David R. Maestas has authored 17 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Biomaterials and 5 papers in Immunology. Recurrent topics in David R. Maestas's work include Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Immune cells in cancer (4 papers). David R. Maestas is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Immune cells in cancer (4 papers). David R. Maestas collaborates with scholars based in United States, Ireland and China. David R. Maestas's co-authors include Jennifer H. Elisseeff, Franck Housseau, Liam Chung, Ada Tam, Drew M. Pardoll, Matthew T. Wolf, Jin Han, Kaitlyn Sadtler, Patrick Cahan and Alexis N. Peña and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and Advanced Drug Delivery Reviews.

In The Last Decade

David R. Maestas

16 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Maestas United States 11 306 268 244 214 175 17 924
Xichao Zhou China 14 156 0.5× 345 1.3× 317 1.3× 170 0.8× 117 0.7× 23 959
Daniel Abebayehu United States 13 221 0.7× 161 0.6× 254 1.0× 144 0.7× 321 1.8× 24 1.0k
Olwyn R. Mahon Ireland 11 226 0.7× 396 1.5× 202 0.8× 158 0.7× 101 0.6× 14 780
Graciosa Q. Teixeira Germany 16 321 1.0× 178 0.7× 302 1.2× 102 0.5× 150 0.9× 34 1.1k
Forough Azam Sayahpour Iran 17 225 0.7× 258 1.0× 269 1.1× 237 1.1× 55 0.3× 38 834
Daniela P. Vasconcelos Portugal 12 218 0.7× 303 1.1× 168 0.7× 186 0.9× 137 0.8× 16 760
Longmei Zhao China 19 222 0.7× 108 0.4× 251 1.0× 144 0.7× 130 0.7× 38 842
Yang An China 16 340 1.1× 213 0.8× 462 1.9× 186 0.9× 58 0.3× 96 1.2k
Samuel T. LoPresti United States 14 523 1.7× 312 1.2× 182 0.7× 337 1.6× 131 0.7× 16 930
Stefan Zwingenberger Germany 18 488 1.6× 435 1.6× 200 0.8× 123 0.6× 81 0.5× 57 1.2k

Countries citing papers authored by David R. Maestas

Since Specialization
Citations

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

Fields of papers citing papers by David R. Maestas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Maestas. 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 David R. Maestas. The network helps show where David R. Maestas may publish in the future.

Co-authorship network of co-authors of David R. Maestas

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

All Works

17 of 17 papers shown
1.
Maestas, David R., James I. Andorko, Joscelyn C. Mejías, et al.. (2025). Innate and Adaptive Immune Responses to Clinical Hyaluronic Acid Fillers. Journal of Cosmetic Dermatology. 24(7). e70292–e70292. 1 indexed citations
2.
Ye, Sang‐Ho, et al.. (2024). Improving the hemocompatibility of a porohyperelastic layered vascular graft using luminal reversal microflows. Journal of the mechanical behavior of biomedical materials. 157. 106638–106638. 1 indexed citations
3.
Han, Jin, Christopher Cherry, Joscelyn C. Mejías, et al.. (2023). Age‐associated Senescent – T Cell Signaling Promotes Type 3 Immunity that Inhibits the Biomaterial Regenerative Response. Advanced Materials. 36(43). e2310476–e2310476. 9 indexed citations
4.
Sommerfeld, Sven D., Joscelyn C. Mejías, Byoung Chol Oh, et al.. (2023). Biomaterials-based immunomodulation enhances survival of murine vascularized composite allografts. Biomaterials Science. 11(11). 4022–4031. 10 indexed citations
5.
Cottrill, Ethan, Zach Pennington, Matthew T. Wolf, et al.. (2023). Creation and preclinical evaluation of a novel mussel-inspired, biomimetic, bioactive bone graft scaffold: direct comparison with Infuse bone graft using a rat model of spinal fusion. Journal of Neurosurgery Spine. 39(1). 113–121. 5 indexed citations
6.
Peña, Alexis N., Sven D. Sommerfeld, Amy E. Anderson, et al.. (2022). Autologous Protein Solution processing alters lymphoid and myeloid cell populations and modulates gene expression dependent on cell type. Arthritis Research & Therapy. 24(1). 221–221. 5 indexed citations
7.
Wu, I‐Wen, Matthew T. Wolf, David R. Maestas, et al.. (2022). An immunologically active, adipose-derived extracellular matrix biomaterial for soft tissue reconstruction: concept to clinical trial. npj Regenerative Medicine. 7(1). 6–6. 32 indexed citations
8.
Moore, Erika, David R. Maestas, Christopher Cherry, et al.. (2021). Biomaterials direct functional B cell response in a material-specific manner. Science Advances. 7(49). eabj5830–eabj5830. 33 indexed citations
9.
Cherry, Christopher, David R. Maestas, Jin Han, et al.. (2021). Computational reconstruction of the signalling networks surrounding implanted biomaterials from single-cell transcriptomics. Nature Biomedical Engineering. 5(10). 1228–1238. 57 indexed citations
10.
Chung, Liam, David R. Maestas, Andriana Lebid, et al.. (2021). Type 2 immunity induced by bladder extracellular matrix enhances corneal wound healing. Science Advances. 7(16). 30 indexed citations
11.
Moore, Erika, et al.. (2020). The Immune System and Its Contribution to Variability in Regenerative Medicine. Tissue Engineering Part B Reviews. 27(1). 39–47. 26 indexed citations
12.
Chung, Liam, David R. Maestas, Andriana Lebid, et al.. (2020). Interleukin 17 and senescent cells regulate the foreign body response to synthetic material implants in mice and humans. Science Translational Medicine. 12(539). 104 indexed citations
13.
Zhang, Hong, Jin Han, Matthew T. Wolf, et al.. (2020). IL-17 and immunologically induced senescence regulate response to injury in osteoarthritis. Journal of Clinical Investigation. 130(10). 5493–5507. 186 indexed citations
14.
Liou, Jr‐Jiun, David R. Maestas, Marvin J. Slepian, et al.. (2019). Surface Modification of Electrospun Scaffolds for Endothelialization of Tissue-Engineered Vascular Grafts Using Human Cord Blood-Derived Endothelial Cells. Journal of Clinical Medicine. 8(2). 185–185. 30 indexed citations
15.
Sommerfeld, Sven D., Christopher Cherry, Liam Chung, et al.. (2019). Interleukin-36γ–producing macrophages drive IL-17–mediated fibrosis. Science Immunology. 4(40). 122 indexed citations
16.
Chung, Liam, David R. Maestas, Franck Housseau, & Jennifer H. Elisseeff. (2017). Key players in the immune response to biomaterial scaffolds for regenerative medicine. Advanced Drug Delivery Reviews. 114. 184–192. 273 indexed citations
17.
Haskett, Darren, David R. Maestas, Tom Doetschman, et al.. (2016). 2-Photon Characterization of Optical Proteolytic Beacons for Imaging Changes in Matrix-Metalloprotease Activity in a Mouse Model of Aneurysm. Microscopy and Microanalysis. 22(2). 349–360.

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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