Sara S. Nunes

3.7k total citations · 2 hit papers
51 papers, 2.8k citations indexed

About

Sara S. Nunes is a scholar working on Surgery, Molecular Biology and Biomaterials. According to data from OpenAlex, Sara S. Nunes has authored 51 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 30 papers in Molecular Biology and 18 papers in Biomaterials. Recurrent topics in Sara S. Nunes's work include Tissue Engineering and Regenerative Medicine (26 papers), Electrospun Nanofibers in Biomedical Applications (18 papers) and 3D Printing in Biomedical Research (16 papers). Sara S. Nunes is often cited by papers focused on Tissue Engineering and Regenerative Medicine (26 papers), Electrospun Nanofibers in Biomedical Applications (18 papers) and 3D Printing in Biomedical Research (16 papers). Sara S. Nunes collaborates with scholars based in Canada, United States and France. Sara S. Nunes's co-authors include Xuetao Sun, Milica Radisic, Gordon Keller, Stéphane Massé, Kumaraswamy Nanthakumar, Boyang Zhang, Michael A. Laflamme, Nimalan Thavandiran, Yun Xiao and Jason W. Miklas and has published in prestigious journals such as Nature Communications, Nature Materials and PLoS ONE.

In The Last Decade

Sara S. Nunes

51 papers receiving 2.7k citations

Hit Papers

Biowire: a platform for m... 2013 2026 2017 2021 2013 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara S. Nunes Canada 25 1.4k 1.3k 1.3k 712 472 51 2.8k
Keith Yeager United States 15 1.3k 1.0× 942 0.7× 749 0.6× 483 0.7× 331 0.7× 27 2.2k
Oscar J. Abilez United States 27 1.2k 0.9× 1.3k 1.0× 1.9k 1.5× 541 0.8× 554 1.2× 52 3.5k
Wolfram H. Zimmermann Germany 20 698 0.5× 1.3k 1.0× 1.2k 1.0× 879 1.2× 238 0.5× 37 2.5k
Jeffrey G. Jacot United States 24 995 0.7× 1.0k 0.8× 668 0.5× 845 1.2× 288 0.6× 54 2.4k
Robert Zweigerdt Germany 40 2.1k 1.5× 2.2k 1.7× 4.0k 3.2× 531 0.7× 505 1.1× 108 5.2k
Atsuhiro Saito Japan 30 1.0k 0.7× 2.0k 1.5× 1.5k 1.2× 1.2k 1.7× 216 0.5× 82 3.4k
Mark Gagliardi Canada 14 889 0.6× 1.2k 0.9× 1.6k 1.3× 429 0.6× 537 1.1× 17 2.4k
Nicolas Christoforou United States 24 769 0.5× 681 0.5× 1.1k 0.9× 364 0.5× 271 0.6× 43 2.3k
Brenda M. Ogle United States 24 920 0.7× 853 0.7× 704 0.6× 518 0.7× 136 0.3× 80 2.1k
Xiaojun Lian United States 25 1.5k 1.1× 1.6k 1.2× 3.4k 2.7× 494 0.7× 657 1.4× 63 4.7k

Countries citing papers authored by Sara S. Nunes

Since Specialization
Citations

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

Fields of papers citing papers by Sara S. Nunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara S. Nunes

This figure shows the co-authorship network connecting the top 25 collaborators of Sara S. Nunes. A scholar is included among the top collaborators of Sara S. Nunes 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 Sara S. Nunes. Sara S. Nunes 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
3.
Vohra, Shabana, et al.. (2024). Single-Cell Meta-Analysis Uncovers the Pancreatic Endothelial Cell Transcriptomic Signature and Reveals a Key Role for NKX2-3 in PLVAP Expression. Arteriosclerosis Thrombosis and Vascular Biology. 44(12). 2596–2615. 2 indexed citations
4.
Li, Mengyuan, Ruilin Wu, Angela Zhou, et al.. (2022). A human model of arteriovenous malformation (AVM)-on-a-chip reproduces key disease hallmarks and enables drug testing in perfused human vessel networks. Biomaterials. 288. 121729–121729. 19 indexed citations
5.
Benson, D. Frank, et al.. (2022). State of the field: cellular and exosomal therapeutic approaches in vascular regeneration. American Journal of Physiology-Heart and Circulatory Physiology. 322(4). H647–H680. 18 indexed citations
6.
Sun, Xuetao, Yasaman Aghazadeh, & Sara S. Nunes. (2022). Isolation of ready-made rat microvessels and its applications in effective in vivo vascularization and in angiogenic studies in vitro. Nature Protocols. 17(12). 2721–2738. 9 indexed citations
7.
Funakoshi, Shunsuke, Ian Fernandes, Olya Mastikhina, et al.. (2021). Generation of mature compact ventricular cardiomyocytes from human pluripotent stem cells. Nature Communications. 12(1). 3155–3155. 105 indexed citations
8.
Sun, Xuetao, Jun Wu, Beiping Qiang, et al.. (2020). Transplanted microvessels improve pluripotent stem cell–derived cardiomyocyte engraftment and cardiac function after infarction in rats. Science Translational Medicine. 12(562). 67 indexed citations
9.
Hatkar, Rupal, et al.. (2019). Type I Diabetes Delays Perfusion and Engraftment of 3D Constructs by Impinging on Angiogenesis; Which can be Rescued by Hepatocyte Growth Factor Supplementation. Cellular and Molecular Bioengineering. 12(5). 443–454. 14 indexed citations
10.
Mastikhina, Olya, Byeong‐Ui Moon, Kenneth Williams, et al.. (2019). Human cardiac fibrosis-on-a-chip model recapitulates disease hallmarks and can serve as a platform for drug testing. Biomaterials. 233. 119741–119741. 133 indexed citations
12.
Sun, Xuetao & Sara S. Nunes. (2015). Overview of hydrogel-based strategies for application in cardiac tissue regeneration. Biomedical Materials. 10(3). 34005–34005. 26 indexed citations
13.
Miklas, Jason W., Sara S. Nunes, Boyang Zhang, & Milica Radisic. (2014). Design and Fabrication of Biological Wires. Methods in molecular biology. 1181. 157–165. 2 indexed citations
14.
Miklas, Jason W., Sara S. Nunes, Aarash Y. N. Sofla, et al.. (2014). Bioreactor for modulation of cardiac microtissue phenotype by combined static stretch and electrical stimulation. Biofabrication. 6(2). 24113–24113. 52 indexed citations
15.
Nunes, Sara S., Jason W. Miklas, Jie Liu, et al.. (2013). Biowire: a platform for maturation of human pluripotent stem cell–derived cardiomyocytes. Nature Methods. 10(8). 781–787. 726 indexed citations breakdown →
17.
Boyd, Nolan L., Sara S. Nunes, Jenny D. Jokinen, et al.. (2011). Microvascular Mural Cell Functionality of Human Embryonic Stem Cell-Derived Mesenchymal Cells. Tissue Engineering Part A. 17(11-12). 1537–1548. 23 indexed citations
18.
Alves, Tércia, Anna Carolina Carvalho da Fonseca, Sara S. Nunes, et al.. (2011). Tenascin-C in the extracellular matrix promotes the selection of highly proliferative and tubulogenesis-defective endothelial cells. Experimental Cell Research. 317(15). 2073–2085. 19 indexed citations
19.
Chang, Carlos C., Sara S. Nunes, Scott C. Sibole, et al.. (2009). Angiogenesis in a Microvascular Construct for Transplantation Depends on the Method of Chamber Circulation. Tissue Engineering Part A. 16(3). 795–805. 30 indexed citations
20.
Nunes, Sara S., Luiz Juliano, Helena B. Nader, et al.. (2007). Syndecan‐4 contributes to endothelial tubulogenesis through interactions with two motifs inside the pro‐angiogenic N‐terminal domain of thrombospondin‐1. Journal of Cellular Physiology. 214(3). 828–837. 49 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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