Sun Young Chung

1.6k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Sun Young Chung is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sun Young Chung has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Sun Young Chung's work include Pluripotent Stem Cells Research (2 papers), Bioactive natural compounds (2 papers) and RNA regulation and disease (2 papers). Sun Young Chung is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Bioactive natural compounds (2 papers) and RNA regulation and disease (2 papers). Sun Young Chung collaborates with scholars based in United States, South Korea and Israel. Sun Young Chung's co-authors include Lesly Puspita, Jaewon Shim, Henry Furneaux, Wenjie Ma, Lorenz Studer, Eugene V. Mosharov, Doron Betel, Dimitri Krainc, Tony Taldone and Ana Mrejeru and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Cell stem cell.

In The Last Decade

Sun Young Chung

17 papers receiving 1.1k citations

Hit Papers

Oxidative stress and cellular pathologies in Parkinson’s ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Young Chung United States 9 694 300 234 175 96 18 1.1k
Pingping Song China 12 401 0.6× 372 1.2× 257 1.1× 194 1.1× 171 1.8× 13 973
Guoxiang Liu China 15 406 0.6× 218 0.7× 212 0.9× 194 1.1× 148 1.5× 33 1.0k
Julia C. Fitzgerald Germany 19 591 0.9× 270 0.9× 216 0.9× 200 1.1× 137 1.4× 30 1.0k
Valeria Valsecchi Italy 23 735 1.1× 188 0.6× 335 1.4× 168 1.0× 69 0.7× 44 1.3k
Byoung Dae Lee South Korea 17 487 0.7× 189 0.6× 146 0.6× 183 1.0× 73 0.8× 25 873
Sandro L. Pereira Portugal 18 640 0.9× 248 0.8× 184 0.8× 174 1.0× 90 0.9× 25 1.2k
Seung Jae Hyeon South Korea 18 495 0.7× 221 0.7× 152 0.6× 312 1.8× 109 1.1× 40 1.0k
Dianbo Qu Canada 18 720 1.0× 248 0.8× 219 0.9× 155 0.9× 161 1.7× 33 1.1k
Tonia E. Tse United States 11 657 0.9× 299 1.0× 268 1.1× 276 1.6× 107 1.1× 12 1.2k
Andrew Ferree United States 15 579 0.8× 400 1.3× 354 1.5× 219 1.3× 121 1.3× 20 1.1k

Countries citing papers authored by Sun Young Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sun Young Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun Young Chung

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

All Works

18 of 18 papers shown
1.
Zhang, Chao, Nathalie Saurat, Daniela Cornacchia, et al.. (2025). Identifying Age‐Modulating Compounds Using a Novel Computational Framework for Evaluating Transcriptional Age. Aging Cell. 24(7). e70075–e70075. 1 indexed citations
2.
Chung, Sun Young, et al.. (2025). FACE DROPS. Neurology Clinical Practice. 15(3). e200476–e200476.
3.
Weinberg, Marc S., Colin Magdamo, Sun Young Chung, et al.. (2023). Association of BCG Vaccine Treatment With Death and Dementia in Patients With Non–Muscle-Invasive Bladder Cancer. JAMA Network Open. 6(5). e2314336–e2314336. 19 indexed citations
4.
Weinberg, Marc S., et al.. (2023). Screening, Assessment, and Pharmacologic Treatment of Mild Cognitive Impairment and Early Alzheimer’s Disease. The Primary Care Companion For CNS Disorders. 25(6). 1 indexed citations
5.
Kim, Tae Wan, Jinghua Piao, So Yeon Koo, et al.. (2021). Biphasic Activation of WNT Signaling Facilitates the Derivation of Midbrain Dopamine Neurons from hESCs for Translational Use. Cell stem cell. 28(2). 343–355.e5. 118 indexed citations
6.
Cederquist, G., Jason Tchieu, Chao Zhang, et al.. (2020). A Multiplex Human Pluripotent Stem Cell Platform Defines Molecular and Functional Subclasses of Autism-Related Genes. Cell stem cell. 27(1). 35–49.e6. 49 indexed citations
7.
Cornacchia, Daniela, Chao Zhang, Bastian Zimmer, et al.. (2019). Lipid Deprivation Induces a Stable, Naive-to-Primed Intermediate State of Pluripotency in Human PSCs. Cell stem cell. 25(1). 120–136.e10. 94 indexed citations
8.
Puspita, Lesly, Sun Young Chung, & Jaewon Shim. (2017). Oxidative stress and cellular pathologies in Parkinson’s disease. Molecular Brain. 10(1). 53–53. 365 indexed citations breakdown →
9.
Chung, Sun Young, Sarah Kishinevsky, Joseph R. Mazzulli, et al.. (2016). Parkin and PINK1 Patient iPSC-Derived Midbrain Dopamine Neurons Exhibit Mitochondrial Dysfunction and α-Synuclein Accumulation. Stem Cell Reports. 7(4). 664–677. 159 indexed citations
10.
Chung, Sun Young, Joo Hee, Hak Hee Kim, et al.. (2013). Magnetic Resonance Imaging of Breast Cancer Patients with BRCA Mutation. 17(3). 207–207. 3 indexed citations
11.
Chung, Sun Young, Deok Hee Lee, Jin Woo Choi, et al.. (2010). Use of Self-Expanding Stents for the Treatment of Vertebral Artery Ostial Stenosis: a Single Center Experience. Korean Journal of Radiology. 11(2). 156–156. 17 indexed citations
12.
Cho, Hwa Jin, et al.. (2008). Rapamycin-Induced Cytotoxic Signal Transduction Pathway. Transplantation Proceedings. 40(8). 2737–2739. 8 indexed citations
13.
Kim, Seung Hyun, et al.. (2008). Synthesis of DAAS derivatives and their enhancement of HL-60 leukemia cell differentiation. Archives of Pharmacal Research. 31(3). 300–304. 4 indexed citations
14.
Chung, Sun Young, et al.. (2008). EFFECT OF MYCOPHENOLIC ACID MEDIATED APOPTOSIS IN HUMAN JURKAT CELLS VIA REGULATION OF HEME OXYGENASE-1 EXPRESSION. Transplantation. 86(2S). 634–634. 1 indexed citations
15.
Kim, Seung Hyun, et al.. (2006). Synthesis of diacetoxy acetal derivatives of santonin and their enhancing effects on HL-60 leukemia cell differentiation. Archives of Pharmacal Research. 29(1). 40–45. 5 indexed citations
16.
So, Hong‐Seob, et al.. (1998). Nitric Oxide Inhibits c-Jun N-Terminal Kinase 2 (JNK2) via S-Nitrosylation. Biochemical and Biophysical Research Communications. 247(3). 809–813. 59 indexed citations
17.
Ma, Wenjie, Sun Young Chung, & Henry Furneaux. (1997). The Elav-like proteins bind to AU-rich elements and to the poly(A) tail of mRNA. Nucleic Acids Research. 25(18). 3564–3569. 184 indexed citations
18.
Chung, Sun Young & Jin Yang. (1993). A Study on Types of stress in Nurses. The Journal of Nurses Academic Society. 23(2). 269–269. 4 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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