Young Hye Song

1.3k total citations
25 papers, 997 citations indexed

About

Young Hye Song is a scholar working on Surgery, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Young Hye Song has authored 25 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Biomaterials and 9 papers in Biomedical Engineering. Recurrent topics in Young Hye Song's work include Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (10 papers) and Nerve injury and regeneration (7 papers). Young Hye Song is often cited by papers focused on Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (10 papers) and Nerve injury and regeneration (7 papers). Young Hye Song collaborates with scholars based in United States, Germany and Canada. Young Hye Song's co-authors include Christine E. Schmidt, Claudia Fischbach, Sahba Mobini, Siyoung Choi, Nikunj Agrawal, Rebecca A. Wachs, Ling Lu, Bo Ri Seo, Lara A. Estroff and Mengrou Shan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Young Hye Song

24 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Hye Song United States 17 456 315 303 189 152 25 997
Brian A. Aguado United States 12 680 1.5× 242 0.8× 296 1.0× 267 1.4× 96 0.6× 13 1.2k
Paola Occhetta Italy 18 949 2.1× 307 1.0× 160 0.5× 277 1.5× 245 1.6× 46 1.4k
Widya Mulyasasmita United States 8 557 1.2× 238 0.8× 488 1.6× 296 1.6× 124 0.8× 9 1.2k
James Su United States 8 480 1.1× 310 1.0× 205 0.7× 576 3.0× 112 0.7× 9 1.6k
Rukmani Sridharan Ireland 13 800 1.8× 493 1.6× 427 1.4× 342 1.8× 128 0.8× 17 1.7k
Bauer L. LeSavage United States 14 647 1.4× 140 0.4× 234 0.8× 318 1.7× 130 0.9× 18 1.2k
Pengzhen Cheng China 16 468 1.0× 200 0.6× 235 0.8× 205 1.1× 106 0.7× 29 951
In Sook Kim South Korea 19 710 1.6× 265 0.8× 331 1.1× 378 2.0× 268 1.8× 34 1.5k
Barbara Klotz Germany 11 727 1.6× 273 0.9× 299 1.0× 186 1.0× 42 0.3× 19 1.3k
Varitsara Bunpetch China 20 739 1.6× 401 1.3× 427 1.4× 321 1.7× 36 0.2× 29 1.7k

Countries citing papers authored by Young Hye Song

Since Specialization
Citations

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

Fields of papers citing papers by Young Hye Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Hye Song. 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 Young Hye Song. The network helps show where Young Hye Song may publish in the future.

Co-authorship network of co-authors of Young Hye Song

This figure shows the co-authorship network connecting the top 25 collaborators of Young Hye Song. A scholar is included among the top collaborators of Young Hye Song 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 Young Hye Song. Young Hye Song 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.
Jamshidi‐Parsian, Azemat, et al.. (2025). Pancreatic cancer extracellular vesicles stimulate Schwann cell activation and perineural invasion in vitro via IL-8/CCL2. PubMed. 4(1). 45–58. 1 indexed citations
2.
Song, Young Hye, et al.. (2024). Investigation of neuro-regenerative therapeutic potential of nerve composite matrix hydrogels embedded with adipose-derived stem cells. SHILAP Revista de lepidopterología. 24. 100165–100165. 1 indexed citations
3.
4.
David, Gabriel, et al.. (2023). Neuro-regenerative behavior of adipose-derived stem cells in aligned collagen I hydrogels. Materials Today Bio. 22. 100762–100762. 14 indexed citations
5.
Kandhola, Gurshagan, Sunho Park, Young Hye Song, et al.. (2023). Nanomaterial-Based Scaffolds for Tissue Engineering Applications: A Review on Graphene, Carbon Nanotubes and Nanocellulose. Tissue Engineering and Regenerative Medicine. 20(3). 411–433. 29 indexed citations
6.
Wachs, Rebecca A., Steven M. Wellman, Stacy Porvasnik, et al.. (2022). Apoptosis-Decellularized Peripheral Nerve Scaffold Allows Regeneration across Nerve Gap. Cells Tissues Organs. 212(6). 512–522. 6 indexed citations
7.
Williams, Taylor, et al.. (2022). Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications. Biochimie. 207. 33–48. 30 indexed citations
8.
Song, Young Hye, et al.. (2021). Decellularized peripheral nerve as an injectable delivery vehicle for neural applications. Journal of Biomedical Materials Research Part A. 110(3). 595–611. 20 indexed citations
9.
Seo, Bo Ri, Xingyu Chen, Ling Lu, et al.. (2020). Collagen microarchitecture mechanically controls myofibroblast differentiation. Proceedings of the National Academy of Sciences. 117(21). 11387–11398. 137 indexed citations
10.
Mobini, Sahba, et al.. (2020). Decellularized tissues as platforms for in vitro modeling of healthy and diseased tissues. Acta Biomaterialia. 111. 1–19. 72 indexed citations
11.
David, Gabriel, et al.. (2020). The biology and engineered modeling strategies of cancer-nerve crosstalk. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1874(2). 188406–188406. 15 indexed citations
12.
Song, Young Hye, et al.. (2019). Novel Sodium Deoxycholate-Based Chemical Decellularization Method for Peripheral Nerve. Tissue Engineering Part C Methods. 26(1). 23–36. 50 indexed citations
13.
Agrawal, Nikunj, Peter B. Allen, Young Hye Song, et al.. (2019). Oligonucleotide-functionalized hydrogels for sustained release of small molecule (aptamer) therapeutics. Acta Biomaterialia. 102. 315–325. 19 indexed citations
14.
Choi, Siyoung, Jens Friedrichs, Young Hye Song, et al.. (2018). Intrafibrillar, bone-mimetic collagen mineralization regulates breast cancer cell adhesion and migration. Biomaterials. 198. 95–106. 60 indexed citations
15.
Song, Young Hye, et al.. (2018). Recent advances in nanotherapeutic strategies for spinal cord injury repair. Advanced Drug Delivery Reviews. 148. 38–59. 92 indexed citations
16.
Cornelison, R. Chase, Steven M. Wellman, Stacy Porvasnik, et al.. (2018). Development of an apoptosis-assisted decellularization method for maximal preservation of nerve tissue structure. Acta Biomaterialia. 77. 116–126. 43 indexed citations
17.
Mobini, Sahba, et al.. (2018). Advances in ex vivo models and lab-on-a-chip devices for neural tissue engineering. Biomaterials. 198. 146–166. 50 indexed citations
18.
Song, Young Hye, Sung Jin Choi, Siyoung Choi, et al.. (2016). Breast cancer-derived extracellular vesicles stimulate myofibroblast differentiation and pro-angiogenic behavior of adipose stem cells. Matrix Biology. 60-61. 190–205. 57 indexed citations
19.
DelNero, Peter, Young Hye Song, & Claudia Fischbach. (2013). Microengineered tumor models: insights & opportunities from a physical sciences-oncology perspective. Biomedical Microdevices. 15(4). 583–593. 31 indexed citations
20.
Kim, Jinku, Sean McBride, Young Hye Song, et al.. (2012). Rapid-prototyped PLGA/β-TCP/hydroxyapatite nanocomposite scaffolds in a rabbit femoral defect model. Biofabrication. 4(2). 25003–25003. 117 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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