Yu‐Jung Chang

2.6k total citations · 1 hit paper
66 papers, 2.0k citations indexed

About

Yu‐Jung Chang is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Yu‐Jung Chang has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Health, Toxicology and Mutagenesis and 10 papers in Oncology. Recurrent topics in Yu‐Jung Chang's work include Pluripotent Stem Cells Research (8 papers), Water Treatment and Disinfection (7 papers) and EFL/ESL Teaching and Learning (6 papers). Yu‐Jung Chang is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Water Treatment and Disinfection (7 papers) and EFL/ESL Teaching and Learning (6 papers). Yu‐Jung Chang collaborates with scholars based in Taiwan, South Korea and United States. Yu‐Jung Chang's co-authors include Mark M. Benjamin, Linyi Chen, Junyeop Kim, Jongpil Kim, Hwan Geun Choi, Hongwon Kim, Hanseul Park, Christopher J. Lengner, Chun Li and Miaomiao Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Science & Technology and Nature Neuroscience.

In The Last Decade

Yu‐Jung Chang

65 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modeling G2019S-LRRK2 Sporadic Parkinson's Disease in 3D Midbrain Organoids

2019 260 citations Hongwon Kim, Hwan Geun Choi et al. profile →

Peers

Yu‐Jung Chang

WST

CMN

HTM

Zhen Liu China

Ronghui Li China

Donghai Wu China

Jiwon Yang South Korea

Chao Qu China

Gang Zheng China

Xu Li China

Linlin Yin China

Shibo Zhang China

Zhen Liu China

Yu‐Jung Chang

764 ×0.8

410 ×0.9

353 ×1.1

WST

332 ×1.1

CMN

35 ×0.2

HTM

Citations per year, relative to Yu‐Jung Chang Yu‐Jung Chang (= 1×) peers Zhen Liu

Countries citing papers authored by Yu‐Jung Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Jung Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Jung Chang. 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 Yu‐Jung Chang. The network helps show where Yu‐Jung Chang may publish in the future.

Co-authorship network of co-authors of Yu‐Jung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Jung Chang. A scholar is included among the top collaborators of Yu‐Jung Chang 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 Yu‐Jung Chang. Yu‐Jung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Junyeop, Sumin Kim, Yu‐Jung Chang, et al.. (2023). Transcriptional activation of endogenous Oct4 via the CRISPR/dCas9 activator ameliorates Hutchinson‐Gilford progeria syndrome in mice. Aging Cell. 22(6). e13825–e13825. 11 indexed citations

Chang, Yu‐Jung, Sungwoo Lee, Ji‐Eun Kim, et al.. (2023). Gene Therapy Using Efficient Direct Lineage Reprogramming Technology for Neurological Diseases. Nanomaterials. 13(10). 1680–1680. 3 indexed citations

Chang, Yu‐Jung, et al.. (2021). Electromagnetized Graphene Facilitates Direct Lineage Reprogramming into Dopaminergic Neurons. Advanced Functional Materials. 31(46). 13 indexed citations

Chang, Yu‐Jung, Byounggook Cho, Euiyeon Lee, et al.. (2021). Electromagnetized gold nanoparticles improve neurogenesis and cognition in the aged brain. Biomaterials. 278. 121157–121157. 31 indexed citations

Chang, Yu‐Jung, Junyeop Kim, Hanseul Park, Hwan Geun Choi, & Jongpil Kim. (2020). Modelling neurodegenerative diseases with 3D brain organoids. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 95(5). 1497–1509. 46 indexed citations

Chang, Yu‐Jung, Byounggook Cho, Siyoung Kim, & Jong‐Pil Kim. (2019). Direct conversion of fibroblasts to osteoblasts as a novel strategy for bone regeneration in elderly individuals. Experimental & Molecular Medicine. 51(5). 1–8. 35 indexed citations

Park, Hanseul, Jungju Oh, Gayong Shim, et al.. (2019). In vivo neuronal gene editing via CRISPR–Cas9 amphiphilic nanocomplexes alleviates deficits in mouse models of Alzheimer’s disease. Nature Neuroscience. 22(4). 524–528. 204 indexed citations

Chang, Yu‐Jung, Junsang Yoo, Hongwon Kim, et al.. (2018). Salusin-β mediate neuroprotective effects for Parkinson's disease. Biochemical and Biophysical Research Communications. 503(3). 1428–1433. 9 indexed citations

Kim, Hongwon, Junsang Yoo, Jaein Shin, et al.. (2017). Modelling APOE ɛ3/4 allele-associated sporadic Alzheimer’s disease in an induced neuron. Brain. 140(8). 2193–2209. 26 indexed citations

10.

Yoo, Junsang, Euiyeon Lee, Hee Young Kim, et al.. (2017). Electromagnetized gold nanoparticles mediate direct lineage reprogramming into induced dopamine neurons in vivo for Parkinson's disease therapy. Nature Nanotechnology. 12(10). 1006–1014. 118 indexed citations

11.

Chen, Kuan‐Wei, Yu‐Jung Chang, Chia‐Ming Yeh, et al.. (2016). SH2B1 modulates chromatin state and MyoD occupancy to enhance expressions of myogenic genes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1860(2). 270–281. 4 indexed citations

12.

Tseng, Chia‐Yi, et al.. (2014). Exposure to High-Dose Diesel Exhaust Particles Induces Intracellular Oxidative Stress and Causes Endothelial Apoptosis in Cultured In Vitro Capillary Tube Cells. Cardiovascular Toxicology. 15(4). 345–354. 27 indexed citations

13.

Chang, Yu‐Jung, et al.. (2013). Electrical stimulation promotes nerve growth factor-induced neurite outgrowth and signaling. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(8). 4130–4136. 79 indexed citations

14.

Chang, Yu‐Jung, et al.. (2012). Interplay between Cell Migration and Neurite Outgrowth Determines SH2B1β-Enhanced Neurite Regeneration of Differentiated PC12 Cells. PLoS ONE. 7(4). e34999–e34999. 21 indexed citations

15.

Chang, Yu‐Jung, et al.. (2011). The Adaptor Protein SH2B3 (Lnk) Negatively Regulates Neurite Outgrowth of PC12 Cells and Cortical Neurons. PLoS ONE. 6(10). e26433–e26433. 17 indexed citations

16.

Yang, Xin, et al.. (2009). Removal of natural organic matter using surfactant-modified iron oxide-coated sand. Journal of Hazardous Materials. 174(1-3). 567–572. 36 indexed citations

17.

Chen, Chien‐Jen, et al.. (2009). SH2B1β enhances fibroblast growth factor 1 (FGF1)-induced neurite outgrowth through MEK-ERK1/2-STAT3-Egr1 pathway. Cellular Signalling. 21(7). 1060–1072. 39 indexed citations

18.

Su, Jyan-Gwo J., et al.. (2008). Aldo-keto reductase 1C2 is essential for 1-nitropyrene's but not for benzo[a]pyrene's induction of p53 phosphorylation and apoptosis. Toxicology. 244(2-3). 257–270. 16 indexed citations

19.

Kim, Kyung‐Suk, et al.. (2007). Enhanced Expression of High-affinity Iron Transporters via H-ferritin Production in Yeast. BMB Reports. 40(1). 82–87. 4 indexed citations

20.

Kim, Jaeshin, et al.. (2003). A novel ion exchange process for As removal. American Water Works Association. 95(3). 77–85. 18 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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