Joon‐Yong An

9.3k total citations
49 papers, 982 citations indexed

About

Joon‐Yong An is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Joon‐Yong An has authored 49 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Genetics and 15 papers in Cognitive Neuroscience. Recurrent topics in Joon‐Yong An's work include Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (15 papers) and Genomics and Rare Diseases (12 papers). Joon‐Yong An is often cited by papers focused on Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (15 papers) and Genomics and Rare Diseases (12 papers). Joon‐Yong An collaborates with scholars based in South Korea, United States and Japan. Joon‐Yong An's co-authors include Charles Claudianos, Stephan Sanders, Kevin J. Bender, Alexandre S. Cristino, Roy Ben‐Shalom, Caroline M. Keeshen, Kiara N. Berríos, Mark A. Bellgrove, S. M. Williams and Jae‐Min Park and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Joon‐Yong An

43 papers receiving 968 citations

Peers

Joon‐Yong An
Simone Gupta United States
Kimberly Chambert United States
Stanley F. Nelson United States
Susan Walker Canada
Leisheng Shi China
Mads E. Hauberg Denmark
Stan F. Nelson United States
Seungtai Yoon United States
Marjelo A. Mines United States
Florence Molinari France
Simone Gupta United States
Joon‐Yong An
Citations per year, relative to Joon‐Yong An Joon‐Yong An (= 1×) peers Simone Gupta

Countries citing papers authored by Joon‐Yong An

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Yong An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon‐Yong An. 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 Joon‐Yong An. The network helps show where Joon‐Yong An may publish in the future.

Co-authorship network of co-authors of Joon‐Yong An

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Yong An. A scholar is included among the top collaborators of Joon‐Yong An 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 Joon‐Yong An. Joon‐Yong An 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.
Ryu, Yong‐Woon, et al.. (2025). Proteogenomic Analysis on RNA m6A Modification-Associated Genes Identifies a Distinct Subgroup with High IGF2BPs Expression Across Cancer Types. International Journal of Medical Sciences. 22(15). 3815–3827.
2.
Cho, Byoung-Kyu, Eugene C. Yi, Joon‐Yong An, et al.. (2025). CD99-mediated immunological synapse formation potentiates CAR-T cell function. Nature Communications. 16(1). 7987–7987.
3.
Kim, Jeong‐Min, Dong Mun Shin, Jihyun Kim, et al.. (2025). Uncovering potential causal genes for undiagnosed congenital anomalies using an in-house pipeline for trio-based whole-genome sequencing. Human Genomics. 19(1). 1–1. 1 indexed citations
4.
An, Joon‐Yong, et al.. (2025). Advancing precision diagnosis in autism: Insights from large-scale genomic studies. Molecules and Cells. 48(8). 100248–100248. 1 indexed citations
5.
Jeong, Jiwon, Hee Jeong Yoo, Joon‐Yong An, & Sunjoo Jeong. (2025). Dysregulated RNA-binding proteins and alternative splicing: Emerging roles in autism spectrum disorder. Molecules and Cells. 48(8). 100237–100237.
6.
Kim, Sungmin, et al.. (2025). Lessons from national biobank projects utilizing whole-genome sequencing for population-scale genomics. Genomics & Informatics. 23(1). 8–8. 2 indexed citations
7.
Lee, Jeewon, Ji Son, Eunjoon Kim, et al.. (2025). Evaluation of familial phenotype deviation to measure the impact of de novo mutations in autism. Genome Medicine. 17(1). 93–93.
8.
Jeong, Minwoo, Jae Hyun Kim, Il Bin Kim, et al.. (2024). CWAS-Plus: estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data. Briefings in Bioinformatics. 25(4). 5 indexed citations
9.
Kim, Hyun Jung, et al.. (2024). An integrative single-cell atlas for exploring the cellular and temporal specificity of genes related to neurological disorders during human brain development. Experimental & Molecular Medicine. 56(10). 2271–2282. 8 indexed citations
10.
An, Joon‐Yong, et al.. (2023). Characterization of De Novo Promoter Variants in Autism Spectrum Disorder with Massively Parallel Reporter Assays. International Journal of Molecular Sciences. 24(4). 3509–3509. 8 indexed citations
11.
Kim, Sungsoo, Subrata Chowdhury, Carrie J. Shawber, et al.. (2023). Angiopoietin-2–Dependent Spatial Vascular Destabilization Promotes T-cell Exclusion and Limits Immunotherapy in Melanoma. Cancer Research. 83(12). 1968–1983. 24 indexed citations
12.
Park, Gaeun, Edson Luck Gonzales, Seunghwan Choi, et al.. (2023). Dysregulation of the Wnt/β-catenin signaling pathway via Rnf146 upregulation in a VPA-induced mouse model of autism spectrum disorder. Experimental & Molecular Medicine. 55(8). 1783–1794. 18 indexed citations
13.
Kim, Il Bin, Junehawk Lee, Jonghun Kim, et al.. (2022). Non-coding de novo mutations in chromatin interactions are implicated in autism spectrum disorder. Molecular Psychiatry. 27(11). 4680–4694. 13 indexed citations
14.
Georgakopoulos‐Soares, Ilias, Guillermo E. Parada, Vikram Agarwal, et al.. (2022). High-throughput characterization of the role of non-B DNA motifs on promoter function. Cell Genomics. 2(4). 100111–100111. 36 indexed citations
15.
Park, Jae‐Min, et al.. (2021). Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes. Molecules and Cells. 44(7). 433–443. 115 indexed citations
16.
Genç, Özgür, Joon‐Yong An, Richard D. Fetter, et al.. (2020). Homeostatic plasticity fails at the intersection of autism-gene mutations and a novel class of common genetic modifiers. eLife. 9. 15 indexed citations
17.
Williams, Sarah, Joon‐Yong An, Janette Edson, et al.. (2018). An integrative analysis of non-coding regulatory DNA variations associated with autism spectrum disorder. Molecular Psychiatry. 24(11). 1707–1719. 58 indexed citations
18.
An, Joon‐Yong, Alexandre S. Cristino, Qiongyi Zhao, et al.. (2014). Towards a molecular characterization of autism spectrum disorders: an exome sequencing and systems approach. Translational Psychiatry. 4(6). e394–e394. 50 indexed citations
19.
Cristino, Alexandre S., S. M. Williams, Ziarih Hawi, et al.. (2013). Neurodevelopmental and neuropsychiatric disorders represent an interconnected molecular system. Molecular Psychiatry. 19(3). 294–301. 160 indexed citations
20.
An, Joon‐Yong, et al.. (2009). A Study on the Evaluations and Issues of Rail Container Transport in Korea Railway. Journal of the Korean society for railway. 12(5). 751–760. 1 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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