Tal Dvir

10.9k total citations · 6 hit papers
72 papers, 7.8k citations indexed

About

Tal Dvir is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Tal Dvir has authored 72 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Biomedical Engineering, 48 papers in Biomaterials and 45 papers in Surgery. Recurrent topics in Tal Dvir's work include Tissue Engineering and Regenerative Medicine (45 papers), Electrospun Nanofibers in Biomedical Applications (42 papers) and 3D Printing in Biomedical Research (27 papers). Tal Dvir is often cited by papers focused on Tissue Engineering and Regenerative Medicine (45 papers), Electrospun Nanofibers in Biomedical Applications (42 papers) and 3D Printing in Biomedical Research (27 papers). Tal Dvir collaborates with scholars based in Israel, Germany and United States. Tal Dvir's co-authors include Daniel S. Kohane, Assaf Shapira, Ron Feiner, Brian P. Timko, Róbert Langer, Sharon Fleischer, Idan Gal, Nadav Noor, Michal Shevach and Reuven Edri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Materials.

In The Last Decade

Tal Dvir

72 papers receiving 7.8k citations

Hit Papers

Nanotechnological strategies for engineering complex tissues 2010 2026 2015 2020 2010 2019 2010 2012 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Dvir Israel 42 5.1k 3.5k 2.4k 1.3k 1.2k 72 7.8k
Mehdi Nikkhah United States 42 6.4k 1.3× 3.3k 0.9× 2.1k 0.9× 720 0.6× 1.0k 0.9× 94 8.7k
Samad Ahadian United States 55 6.0k 1.2× 2.2k 0.6× 1.4k 0.6× 778 0.6× 1.3k 1.1× 154 9.0k
Lichun Lu United States 56 5.9k 1.1× 4.0k 1.1× 2.1k 0.9× 1.3k 1.0× 947 0.8× 175 9.5k
Jeffrey T. Borenstein United States 40 6.3k 1.2× 2.6k 0.7× 1.7k 0.7× 708 0.6× 1.1k 1.0× 146 9.1k
Hojae Bae South Korea 54 8.8k 1.7× 4.5k 1.3× 2.1k 0.9× 762 0.6× 1.8k 1.5× 136 12.5k
Mohsen Akbari Canada 47 5.8k 1.1× 3.5k 1.0× 1.2k 0.5× 516 0.4× 1.1k 1.0× 176 9.5k
Xin Zhao China 60 6.5k 1.3× 3.5k 1.0× 1.9k 0.8× 467 0.4× 1.5k 1.3× 196 11.6k
Seung‐Woo Cho South Korea 56 5.3k 1.0× 3.5k 1.0× 2.9k 1.2× 1.0k 0.8× 2.5k 2.1× 235 10.5k
Ling Wang China 48 3.1k 0.6× 3.1k 0.9× 1.3k 0.5× 546 0.4× 989 0.8× 204 7.0k
Sarah C. Heilshorn United States 66 6.7k 1.3× 3.9k 1.1× 2.1k 0.9× 1.5k 1.2× 3.6k 3.1× 187 14.1k

Countries citing papers authored by Tal Dvir

Since Specialization
Citations

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

Fields of papers citing papers by Tal Dvir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Dvir

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Dvir. A scholar is included among the top collaborators of Tal Dvir 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 Tal Dvir. Tal Dvir 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.
Cohen, Roni, et al.. (2025). One‐Step Coordinated Multi‐Kinetic 4D Printing of Human Vascularized Cardiac Tissues with Selective Fast‐Shrinking Capillaries. Advanced Materials. 38(3). e12879–e12879. 2 indexed citations
2.
Omar, Rawan, Walaa Saliba, Muhammad Khatib, et al.. (2024). Biodegradable, Biocompatible, and Implantable Multifunctional Sensing Platform for Cardiac Monitoring. ACS Sensors. 9(1). 126–138. 23 indexed citations
3.
Cohen, Roni, et al.. (2023). Modified ECM-Based Bioink for 3D Printing of Multi-Scale Vascular Networks. Gels. 9(10). 792–792. 10 indexed citations
4.
Xu, Dongxin, Jiaru Fang, Moran Yadid, et al.. (2022). A universal, multimodal cell-based biosensing platform for optimal intracellular action potential recording. Biosensors and Bioelectronics. 206. 114122–114122. 16 indexed citations
5.
Chakraborty, Priyadarshi, Hadas Oved, Darya Bychenko, et al.. (2021). Nanoengineered Peptide‐Based Antimicrobial Conductive Supramolecular Biomaterial for Cardiac Tissue Engineering. Advanced Materials. 33(26). e2008715–e2008715. 117 indexed citations
6.
Yadid, Moran, et al.. (2021). Bioengineering approaches to treat the failing heart: from cell biology to 3D printing. Nature Reviews Cardiology. 19(2). 83–99. 62 indexed citations
7.
Feiner, Ron & Tal Dvir. (2020). Engineering Smart Hybrid Tissues with Built-In Electronics. iScience. 23(2). 100833–100833. 23 indexed citations
8.
Chakraborty, Priyadarshi, Yiming Tang, Tomoya Yamamoto, et al.. (2020). Unusual Two‐Step Assembly of a Minimalistic Dipeptide‐Based Functional Hypergelator. Advanced Materials. 32(9). e1906043–e1906043. 87 indexed citations
9.
Gal, Idan, et al.. (2020). Injectable Cardiac Cell Microdroplets for Tissue Regeneration. Small. 16(8). e1904806–e1904806. 30 indexed citations
10.
Wertheim, Lior, Assaf Shapira, Roey J. Amir, & Tal Dvir. (2018). A microfluidic chip containing multiple 3D nanofibrous scaffolds for culturing human pluripotent stem cells. Nanotechnology. 29(13). 13LT01–13LT01. 3 indexed citations
11.
Fleischer, Sharon, Ron Feiner, & Tal Dvir. (2017). Cutting-edge platforms in cardiac tissue engineering. Current Opinion in Biotechnology. 47. 23–29. 26 indexed citations
12.
Fleischer, Sharon, et al.. (2015). Effect of fiber diameter on the assembly of functional 3D cardiac patches. Nanotechnology. 26(29). 291002–291002. 43 indexed citations
13.
Baranes, Koby, Michal Shevach, Orit Shefi, & Tal Dvir. (2015). Gold Nanoparticle-Decorated Scaffolds Promote Neuronal Differentiation and Maturation. Nano Letters. 16(5). 2916–2920. 173 indexed citations
14.
Shapira, Assaf, Ron Feiner, & Tal Dvir. (2015). Composite biomaterial scaffolds for cardiac tissue engineering. International Materials Reviews. 61(1). 1–19. 99 indexed citations
15.
Shevach, Michal, et al.. (2014). Fabrication of omentum-based matrix for engineering vascularized cardiac tissues. Biofabrication. 6(2). 24101–24101. 32 indexed citations
16.
Fleischer, Sharon, Ron Feiner, Assaf Shapira, et al.. (2013). Spring-like fibers for cardiac tissue engineering. Biomaterials. 34(34). 8599–8606. 99 indexed citations
17.
Shevach, Michal, Ben M. Maoz, Ron Feiner, Assaf Shapira, & Tal Dvir. (2013). Nanoengineering gold particle composite fibers for cardiac tissue engineering. Journal of Materials Chemistry B. 1(39). 5210–5210. 125 indexed citations
18.
Shachar, Michal, Orna Tsur‐Gang, Tal Dvir, Jonathan Leor, & Smadar Cohen. (2010). The effect of immobilized RGD peptide in alginate scaffolds on cardiac tissue engineering. Acta Biomaterialia. 7(1). 152–162. 168 indexed citations
19.
Ruvinov, Emil, Tal Dvir, Jonathan Leor, & Smadar Cohen. (2008). Myocardial repair: from salvage to tissue reconstruction. Expert Review of Cardiovascular Therapy. 6(5). 669–686. 29 indexed citations
20.
Dvir, Tal, Orna Tsur‐Gang, & Smadar Cohen. (2005). “Designer” scaffolds for tissue engineering and regeneration. Israel Journal of Chemistry. 45(4). 487–494. 23 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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