Jeong Eun Song

2.3k total citations
125 papers, 1.8k citations indexed

About

Jeong Eun Song is a scholar working on Biomaterials, Biomedical Engineering and Urology. According to data from OpenAlex, Jeong Eun Song has authored 125 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Biomaterials, 41 papers in Biomedical Engineering and 24 papers in Urology. Recurrent topics in Jeong Eun Song's work include Silk-based biomaterials and applications (38 papers), Bone Tissue Engineering Materials (35 papers) and Periodontal Regeneration and Treatments (23 papers). Jeong Eun Song is often cited by papers focused on Silk-based biomaterials and applications (38 papers), Bone Tissue Engineering Materials (35 papers) and Periodontal Regeneration and Treatments (23 papers). Jeong Eun Song collaborates with scholars based in South Korea, Italy and Portugal. Jeong Eun Song's co-authors include Gilson Khang, Joo Hee Choi, Muthukumar Thangavelu, Nirmalya Tripathy, Dae Hoon Lee, Rui L. Reis, Chan Hum Park, Dongwon Lee, Cristiano Carlomagno and Min Joung Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Journal of Controlled Release.

In The Last Decade

Jeong Eun Song

123 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong Eun Song South Korea 24 703 700 259 236 194 125 1.8k
Rogério P. Pirraco Portugal 30 888 1.3× 915 1.3× 431 1.7× 391 1.7× 138 0.7× 71 2.1k
Beom‐Su Kim South Korea 29 688 1.0× 1.1k 1.5× 467 1.8× 302 1.3× 190 1.0× 87 2.4k
Junli Hu China 27 1.2k 1.8× 886 1.3× 200 0.8× 191 0.8× 319 1.6× 71 2.5k
Ferdinand Brandl Germany 21 1.1k 1.5× 869 1.2× 331 1.3× 339 1.4× 158 0.8× 29 2.6k
Juin‐Yih Lai Taiwan 25 1.1k 1.6× 994 1.4× 255 1.0× 178 0.8× 231 1.2× 66 2.2k
Akbar Karkhaneh Iran 28 1.2k 1.8× 1.3k 1.9× 205 0.8× 329 1.4× 163 0.8× 84 2.4k
Anna Maria Piras Italy 28 1.3k 1.9× 1.1k 1.6× 497 1.9× 342 1.4× 160 0.8× 88 2.7k
Calogero Fiorica Italy 25 844 1.2× 590 0.8× 202 0.8× 201 0.9× 170 0.9× 91 1.8k
Michaela Schulz‐Siegmund Germany 24 649 0.9× 702 1.0× 602 2.3× 393 1.7× 94 0.5× 80 2.0k
Nathalie Bock Australia 23 1.1k 1.6× 1.4k 2.0× 259 1.0× 323 1.4× 175 0.9× 58 2.5k

Countries citing papers authored by Jeong Eun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Eun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeong Eun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Eun Song. A scholar is included among the top collaborators of Jeong Eun 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 Jeong Eun Song. Jeong Eun 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.
You, Hong, et al.. (2025). Scrub typhus association with autoimmune biomarkers and clinical implications. PLoS neglected tropical diseases. 19(1). e0012766–e0012766. 3 indexed citations
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Lee, Han Ah, Hae Lim Lee, Jeong Eun Song, et al.. (2023). The efficacy of treatment for hepatocellular carcinoma in elderly patients. SHILAP Revista de lepidopterología. 23(2). 362–376. 4 indexed citations
5.
Choi, Joo Hee, et al.. (2023). Modified gellan gum-based hydrogel with enhanced mechanical properties for application as a cell carrier for cornea endothelial cells. International Journal of Biological Macromolecules. 236. 123878–123878. 21 indexed citations
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Song, Jeong Eun, Sun Kyung Hwang, Jae Hyun Park, & Jin Young Kim. (2021). A Thin In2S3 Interfacial Layer for Reducing Defects and Roughness of Cu2ZnSn(S,Se)4 Thin‐Film Solar Cells. ChemSusChem. 15(4). e202102350–e202102350. 13 indexed citations
9.
Song, Jeong Eun, et al.. (2021). Biomimetic sponge using duck’s feet derived collagen and hydroxyapatite to promote bone regeneration. Journal of Biomaterials Science Polymer Edition. 33(6). 769–782. 3 indexed citations
10.
Hwang, Sun Kyung, Jae Hyun Park, Se Won Seo, et al.. (2020). Improved interfacial properties of electrodeposited Cu2ZnSn(S,Se)4 thin‐film solar cells by a facile post‐heat treatment process. Progress in Photovoltaics Research and Applications. 28(12). 1345–1354. 40 indexed citations
11.
Kim, Jin Woo, et al.. (2020). Elution Behavior of Nizatidine Immediate Release Tablets According to Lactose and Microcrystalline Cellulose Content. Polymer Korea. 44(4). 566–571. 1 indexed citations
12.
Choi, Joo Hee, et al.. (2020). Characterization and Potential of a Bilayered Hydrogel of Gellan Gum and Demineralized Bone Particles for Osteochondral Tissue Engineering. ACS Applied Materials & Interfaces. 12(31). 34703–34715. 21 indexed citations
13.
Kim, Won Kyung, et al.. (2019). Evaluation of cartilage regeneration of chondrocyte encapsulated gellan gum-based hyaluronic acid blended hydrogel. International Journal of Biological Macromolecules. 141. 51–59. 49 indexed citations
14.
Choi, Joo Hee, Do Kyung Kim, Jeong Eun Song, et al.. (2018). Silk Fibroin-Based Scaffold for Bone Tissue Engineering. Advances in experimental medicine and biology. 1077. 371–387. 48 indexed citations
15.
Kim, Hye Min, Soo Min Kim, Do Kyung Kim, et al.. (2016). Osteogenesis Differentiation of Rabbit Bone Marrow-mesenchymal Stem Cells in Silk Scaffold Loaded with Various Ratios of Hydroxyapatite. Polymer Korea. 40(6). 915–915. 2 indexed citations
16.
Han, Kap-Soo, et al.. (2014). Effect of demineralized bone particle/poly(lactic-co-glycolic acid) scaffolds on the attachment and proliferation of mesenchymal stem cells. Journal of Biomaterials Science Polymer Edition. 26(2). 92–110. 8 indexed citations
17.
Lee, Jong Seok, et al.. (2014). Inonotus obliquus-derived polysaccharide inhibits the migration and invasion of human non-small cell lung carcinoma cells via suppression of MMP-2 and MMP-9. International Journal of Oncology. 45(6). 2533–2540. 32 indexed citations
18.
Song, Jeong Eun. (2012). A Study on the Reduction of Volatile Organic Compounds by Fatsia japonica and Ardisia pusilla. KIEAE Journal. 12(4). 77–82. 1 indexed citations
19.
Kim, Soon Hee, Jeong Eun Song, Dongwon Lee, & Gilson Khang. (2012). Demineralized Bone Particle Impregnated Poly(l-Lactide-co-Glycolide) Scaffold for Application in Tissue-Engineered Intervertebral Discs. Journal of Biomaterials Science Polymer Edition. 23(17). 2153–2170. 7 indexed citations
20.
Lee, DY, et al.. (2001). Characterization of Cu(In1-xGax)Se-2 films prepared by three-stage coevaporation and their application to CIGS solar cells for a 14.48 % efficiency. Journal of the Korean Physical Society. 39(4). 7 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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