Si‐Jung Jang
About
Si‐Jung Jang is a scholar working on Genetics, Molecular Biology and Surgery.
According to data from OpenAlex, Si‐Jung Jang has authored 27 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Si‐Jung Jang's work include Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Pluripotent Stem Cells Research (7 papers). Si‐Jung Jang is often cited by papers focused on Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Pluripotent Stem Cells Research (7 papers). Si‐Jung Jang collaborates with scholars based in South Korea, Canada and Japan. Si‐Jung Jang's co-authors include Gyu‐Jin Rho, Bong-Wook Park, June‐Ho Byun, Won‐Jae Lee, Young‐Hoon Kang, Sung‐Lim Lee, Ryoung‐Hoon Jeon, Dinesh Bharti, Sharath Belame Shivakumar and Raghavendra Baregundi Subbarao and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Biomacromolecules.
In The Last Decade
Si‐Jung Jang
27 papers receiving 593 citations
Peers
Si‐Jung Jang
Cristiane Valverde Wenceslau Brazil
Gabriella Chirumbolo Italy
Janne L. Simonsen Denmark
María Álvarez‐Viejo Spain
Renza Spelat Italy
Milena Mourdjeva Bulgaria
Jorge Saá Spain
I. V. Arutyunyan Russia
Roberto Berebichez‐Fridman Mexico
Cynthia B. Trygg United States
Citations per year, relative to Si‐Jung Jang Si‐Jung Jang (= 1×)
peers
Cristiane Valverde Wenceslau
Countries citing papers authored by Si‐Jung Jang
Since
Specialization
Citations
This map shows the geographic impact of Si‐Jung Jang'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 Si‐Jung Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Jung Jang more than expected).
Fields of papers citing papers by Si‐Jung Jang
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Si‐Jung Jang. 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 Si‐Jung Jang. The network helps show where Si‐Jung Jang may publish in the future.
Co-authorship network of co-authors of Si‐Jung Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Si‐Jung Jang. A scholar is included among the top collaborators of Si‐Jung Jang 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 Si‐Jung Jang. Si‐Jung Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Son, Young‐Bum, Young‐Hoon Kang, Hyeon‐Jeong Lee, et al.. (2021). Evaluation of odonto/osteogenic differentiation potential from different regions derived dental tissue stem cells and effect of 17β-estradiol on efficiency. BMC Oral Health. 21(1). 15–15.
2.
Jang, Si‐Jung, Ryoung‐Hoon Jeon, Hyeon‐Jeong Lee, et al.. (2020). TATA box binding protein and ribosomal protein 4 are suitable reference genes for normalization during quantitative polymerase chain reaction study in bovine mesenchymal stem cells. Asian-Australasian Journal of Animal Sciences. 33(12). 2021–2030.
3.
Kang, Young‐Hoon, Sharath Belame Shivakumar, Young‐Bum Son, et al.. (2019). Comparative analysis of three different protocols for cholinergic neuron differentiation in vitro using mesenchymal stem cells from human dental pulp. Animal Cells and Systems. 23(4). 275–287.
4.
Subbarao, Raghavendra Baregundi, Sharath Belame Shivakumar, Young‐Bum Son, et al.. (2018). CD105+ Porcine Endometrial Stromal Mesenchymal Stem Cells Possess Differentiation Potential Toward Cardiomyocyte-Like Cells and Insulin-Producing β Cell-Like Cells In Vitro. Reproductive Sciences. 26(5). 669–682.
5.
Shivakumar, Sharath Belame, Dinesh Bharti, Raghavendra Baregundi Subbarao, et al.. (2016). DMSO‐ and Serum‐Free Cryopreservation of Wharton's Jelly Tissue Isolated From Human Umbilical Cord. Journal of Cellular Biochemistry. 117(10). 2397–2412.
6.
Ullah, Imran, Raghavendra Baregundi Subbarao, Eun‐Jin Kim, et al.. (2016). In vitro comparative analysis of human dental stem cells from a single donor and its neuronal differentiation potential evaluated by electrophysiology. Life Sciences. 154. 39–51.
7.
Lee, Won‐Jae, Jisung Park, Si‐Jung Jang, et al.. (2016). Isolation and Cellular Phenotyping of Mesenchymal Stem Cells Derived from Synovial Fluid and Bone Marrow of Minipigs. Journal of Visualized Experiments.
8.
Ock, Sun‐A, Yeon-Mi Lee, Jisung Park, et al.. (2016). Evaluation of phenotypic, functional and molecular characteristics of porcine mesenchymal stromal/stem cells depending on donor age, gender and tissue source. Journal of Veterinary Medical Science. 78(6). 987–995.
9.
Lee, Yeon-Mi, Taeho Kim, Won‐Jae Lee, et al.. (2016). Overexpression of Oct4 in porcine ovarian stem/stromal cells enhances differentiation of oocyte-like cells in vitro and ovarian follicular formation in vivo. Journal of Ovarian Research. 9(1). 24–24.
10.
Lee, Jin Ho, Dong Kyun Woo, Jun Goo Kang, et al.. (2016). I n vitroand long‐term (2‐year follow‐up)in vivoosteogenic activities of human periosteum‐derived osteoblasts seeded into growth factor‐releasing polycaprolactone/pluronic F127 beads scaffolds. Journal of Biomedical Materials Research Part A. 105(2). 363–376.
11.
Kang, Young‐Hoon, Si‐Jung Jang, June‐Ho Byun, et al.. (2015). Immunomodulatory properties and in vivo osteogenesis of human dental stem cells from fresh and cryopreserved dental follicles. Differentiation. 90(1-3). 48–58.
12.
Subbarao, Raghavendra Baregundi, Imran Ullah, Eun‐Jin Kim, et al.. (2015). Characterization and Evaluation of Neuronal Trans-Differentiation with Electrophysiological Properties of Mesenchymal Stem Cells Isolated from Porcine Endometrium. International Journal of Molecular Sciences. 16(5). 10934–10951.
13.
Kang, Young‐Hoon, June‐Ho Byun, Uk‐Kyu Kim, et al.. (2015). Positive expression of NANOG, mutant p53, and CD44 is directly associated with clinicopathological features and poor prognosis of oral squamous cell carcinoma. BMC Oral Health. 15(1). 153–153.
14.
Shivakumar, Sharath Belame, Dinesh Bharti, Si‐Jung Jang, et al.. (2015). Cryopreservation of Human Wharton’s Jelly-derived Mesenchymal Stem Cells Following Controlled Rate Freezing Protocol Using Different Cryoprotectants; A Comparative Study. International Journal of Stem Cells. 8(2). 155–169.
15.
Lee, Won‐Jae, Si‐Jung Jang, Seung-Chan Lee, et al.. (2015). Selection of reference genes for quantitative real-time polymerase chain reaction in porcine embryos. Reproduction Fertility and Development. 29(2). 357–367.
16.
Lee, Won‐Jae, Ryoung‐Hoon Jeon, Yeon-Mi Lee, et al.. (2014). Development and Gene Expression of Porcine Cloned Embryos Derived from Bone Marrow Stem Cells with Overexpressing Oct4 and Sox2. Cellular Reprogramming. 16(6). 428–438.
17.
Kumar, B. Mohana, Won‐Jae Lee, Ryoung‐Hoon Jeon, et al.. (2013). Multilineage potential and proteomic profiling of human dental stem cells derived from a single donor. Experimental Cell Research. 320(1). 92–107.
18.
Yang, Seok‐Chul, et al.. (2000). Wegener’s Granulomatosis Presenting as Mediastinal Soft Tissue Mass Invading the Tracheal Wall. Clinical Rheumatology. 19(6). 495–498.
19.
Ahn, Myung‐Ju, et al.. (1998). Expression of cyclin D1 and cyclin E in human gastric carcinoma and its clinicopathologic significance. Journal of Korean Medical Science. 13(5). 513–513.
20.
Jang, Si‐Jung, et al.. (1997). Lymphoepithelial carcinoma of the submandibular gland--a case report. Journal of Korean Medical Science. 12(3). 252–252.
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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