Yulia Shandalov
- Molecular Biology
- Biomedical Engineering top 5%
- Surgery top 10%
- Biomaterials top 5%
- Ecology top 10%
- Co-authors
- Shulamit LevenbergMoshe GavishLeo VeenmanShira LandauDana EgoziAlina FreimanTom Ben‐AryeShahar Ben‐Shaul
- Topics
- Tissue Engineering and Regenerative Medicine (11 papers)Electrospun Nanofibers in Biomedical Applications (11 papers)Reconstructive Surgery and Microvascular Techniques (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBiomaterials
In The Last Decade
Yulia Shandalov
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 533
- Biomedical Engineering 482
- Surgery 424
- Biomaterials 377
- Ecology 131
Countries citing papers authored by Yulia Shandalov
This map shows the geographic impact of Yulia Shandalov'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 Yulia Shandalov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Shandalov more than expected).
Fields of papers citing papers by Yulia Shandalov
This network shows the impact of papers produced by Yulia Shandalov. 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 Yulia Shandalov. The network helps show where Yulia Shandalov may publish in the future.
Co-authorship network of co-authors of Yulia Shandalov
This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Shandalov. A scholar is included among the top collaborators of Yulia Shandalov 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 Yulia Shandalov. Yulia Shandalov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 52 | |
| 3 | 26 | |
| 4 | Textured soy protein scaffolds enable the generation of three-dimensional bovine skeletal muscle tissue for cell-based meatbreakdown → | 290 |
| 5 | 19 | |
| 6 | 51 | |
| 7 | 36 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 83 | |
| 11 | 2 | |
| 12 | 85 | |
| 13 | 16 | |
| 14 | 120 | |
| 15 | 168 | |
| 16 | 53 | |
| 17 | 154 | |
| 18 | 38 | |
| 19 | 36 | |
| 20 | 57 |
About Yulia Shandalov
Yulia Shandalov is a scholar working on Biomaterials, Surgery and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (11 papers) and Reconstructive Surgery and Microvascular Techniques (5 papers). The work is most often cited by research in Biomaterials (377 citations), Biomedical Engineering (482 citations) and Automotive Engineering (119 citations). Yulia Shandalov has collaborated with scholars based in Israel, Germany and Australia. Frequent co-authors include Shulamit Levenberg, Moshe Gavish, Leo Veenman, Shira Landau, Dana Egozi, Alina Freiman, Tom Ben‐Arye, Shahar Ben‐Shaul, Jacob Koffler and Neta Lavon. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomaterials.
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.