Hyejung Won

26.0k total citations · 5 hit papers
45 papers, 4.0k citations indexed

About

Hyejung Won is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Hyejung Won has authored 45 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Genetics and 11 papers in Cognitive Neuroscience. Recurrent topics in Hyejung Won's work include Genetics and Neurodevelopmental Disorders (17 papers), Genomics and Chromatin Dynamics (17 papers) and Genetic Associations and Epidemiology (15 papers). Hyejung Won is often cited by papers focused on Genetics and Neurodevelopmental Disorders (17 papers), Genomics and Chromatin Dynamics (17 papers) and Genetic Associations and Epidemiology (15 papers). Hyejung Won collaborates with scholars based in United States, United Kingdom and South Korea. Hyejung Won's co-authors include Daniel H. Geschwind, Jason L. Stein, Luis de la Torre-Ubieta, Neelroop Parikshak, Won Mah, Steve Horvath, Vijayendran Chandran, Jennifer K. Lowe, Alice Zhang and Rui Luo and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Hyejung Won

44 papers receiving 4.0k citations

Hit Papers

5 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.

Integrative Functional Genomic Analyses Implicate Specific Molecular Pathways and Circuits in Autism

2013 691 citations Neelroop Parikshak, Hyejung Won et al. Cell profile →
Advancing the understanding of autism disease mechanisms through genetics

2016 542 citations Luis de la Torre-Ubieta, Hyejung Won et al. Nature Medicine profile →
Autistic-like social behaviour in Shank2-mutant mice improved by restoring NMDA receptor function

2012 535 citations Hyejung Won, Hye‐Ryeon Lee et al. Nature profile →
Chromosome conformation elucidates regulatory relationships in developing human brain

2016 347 citations Hyejung Won, Luis de la Torre-Ubieta et al. Nature profile →
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights

2018 293 citations Alexander Gusev, Nicholas Mancuso et al. Nature Genetics profile →

Peers

Countries citing papers authored by Hyejung Won

Since Specialization

Citations

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

Fields of papers citing papers by Hyejung Won

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyejung Won. 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 Hyejung Won. The network helps show where Hyejung Won may publish in the future.

Co-authorship network of co-authors of Hyejung Won

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Myelination across the autism spectrum: therapeutic targeting of the oligodendrocyte lineage and myelination defects 2025 ·Neuropsychopharmacology ·Hyejung Won, Brady J. Maher	0
2	Massively parallel reporter assay investigates shared genetic variants of eight psychiatric disorders 2025 ·Cell ·(unknown), Jessica C. McAfee, Jiseok Lee, Alejandro Gómez, (unknown), Declan Clarke, (unknown), Mark Gerstein, Alan P. Boyle, Patrick F. Sullivan, Adriana S. Beltrán, Hyejung Won	7
3	Just a SNP away: The future of in vivo massively parallel reporter assay 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Hyejung Won	3
4	The genetic relationships between brain structure and schizophrenia 2023 ·Nature Communications ·(unknown), Richard A. I. Bethlehem, Lena Dorfschmidt, Hyejung Won, Varun Warrier, Edward T. Bullmore	19
5	Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features 2023 ·Genome Research ·(unknown), Eric S. Davis, Ivana Yoseli Quiroga, (unknown), Manjari Kiran, Michael I. Love, Hyejung Won, Douglas H. Phanstiel	2
6	Systematic investigation of allelic regulatory activity of schizophrenia-associated common variants 2023 ·Cell Genomics ·Jessica C. McAfee, (unknown), Jiseok Lee, (unknown), Oleh Krupa, Jessica E. Davis, Kimberly D. Insigne, (unknown), (unknown), Alan P. Boyle, Douglas H. Phanstiel, Michael I. Love, Jason L. Stein, W. Brad Ruzicka, José Dávila-Velderrain, Sriram Kosuri, Hyejung Won	17
7	Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription 2022 ·Cell Reports ·(unknown), Eric S. Davis, (unknown), (unknown), (unknown), Ivana Yoseli Quiroga, (unknown), (unknown), Isaac B. Hilton, Hyejung Won, Michael I. Love, Douglas H. Phanstiel	21
8	Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex 2022 ·Genome Medicine ·Shuang Liu, Hyejung Won, Declan Clarke, Nana Matoba, Saniya Khullar, (unknown), Daifeng Wang, Mark Gerstein	9
9	Common genetic risk variants identified in the SPARK cohort support DDHD2 as a candidate risk gene for autism 2020 ·Translational Psychiatry ·Nana Matoba, Dan Liang, (unknown), Nil Aygün, Jessica C. McAfee, Jessica E. Davis, Laura M. Raffield, Huijun Qian, Joseph Piven, Yun Li, (unknown), Hyejung Won, Jason L. Stein	50
10	Regulatory landscape in brain development and disease 2020 ·Current Opinion in Genetics & Development ·(unknown), Hyejung Won	9
11	Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism 2020 ·Nature Communications ·Gokul Ramaswami, Hyejung Won, Michael J. Gandal, Jillian R. Haney, (unknown), Chloe C. Y. Wong, Wenjie Sun, Shyam Prabhakar, Jonathan Mill, Daniel H. Geschwind	61
12	Social and non-social autism symptoms and trait domains are genetically dissociable 2019 ·Communications Biology ·Varun Warrier, Roberto Toro, Hyejung Won, Claire S. Leblond, Freddy Cliquet, Richard Delorme, Ward De Witte, Janita Bralten, Bhismadev Chakrabarti, Anders D. Børglum, Jakob Grove, Geert Poelmans, David A. Hinds, Thomas Bourgeron, Simon Baron‐Cohen	55
13	Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights breakdown → 2018 ·Nature Genetics ·Alexander Gusev, Nicholas Mancuso, Hyejung Won, Maria Kousi, Hilary K. Finucane, Yakir Reshef, Lingyun Song, Alexias Safi, Steven A. McCarroll, Benjamin M. Neale, Roel A. Ophoff, Michael O’Donovan, Gregory E. Crawford, Daniel H. Geschwind, Nicholas Katsanis, Patrick F. Sullivan, Bogdan Paşaniuc, Alkes L. Price	293
14	De novo mutations in regulatory elements in neurodevelopmental disorders 2018 ·Nature ·Patrick Short, Jeremy F. McRae, Giuseppe Gallone, Alejandro Sifrim, Hyejung Won, Daniel H. Geschwind, Caroline F. Wright, Helen V. Firth, David Fitzpatrick, Jeffrey C. Barrett, Matthew E. Hurles	128
15	ASD restricted and repetitive behaviors associated at 17q21.33: genes prioritized by expression in fetal brains 2017 ·Molecular Psychiatry ·Rita M. Cantor, (unknown), Hyejung Won, Rebecca L. Walker, Jennifer K. Lowe, Daniel H. Geschwind	14
16	Widespread Allelic Heterogeneity in Complex Traits 2017 ·The American Journal of Human Genetics ·Farhad Hormozdiari, (unknown), Gleb Kichaev, Chelsea J.‐T. Ju, Ayellet V. Segrè, Jong Wha J. Joo, Hyejung Won, Sriram Sankararaman, Bogdan Paşaniuc, Sagiv Shifman, Eleazar Eskin	47
17	The road to precision psychiatry: translating genetics into disease mechanisms 2016 ·Nature Neuroscience ·Michael J. Gandal, Virpi Leppä, Hyejung Won, Neelroop Parikshak, Daniel H. Geschwind	135
18	Advancing the understanding of autism disease mechanisms through genetics breakdown → 2016 ·Nature Medicine ·Luis de la Torre-Ubieta, Hyejung Won, Jason L. Stein, Daniel H. Geschwind	542
19	Autistic-like social behaviour in Shank2-mutant mice improved by restoring NMDA receptor function breakdown → 2012 ·Nature ·Hyejung Won, Hye‐Ryeon Lee, Heon Yung Gee, Won Mah, Jae‐Ick Kim, Jiseok Lee, Seungmin Ha, Changuk Chung, Eun Suk Jung, Yi Sul Cho, (unknown), Jungsoo Lee, Kyungmin Lee, Daesoo Kim, Yong Chul Bae, Bong‐Kiun Kaang, Min Goo Lee, Eunjoon Kim	535
20	Enhanced NMDA Receptor-Mediated Synaptic Transmission, Enhanced Long-Term Potentiation, and Impaired Learning and Memory in Mice Lacking IRSp53 2009 ·Journal of Neuroscience ·Myoung‐Hwan Kim, Jeonghoon Choi, Jinhee Yang, Woosuk Chung, Ji‐Hyun Kim, Sang Kyoo Paik, Karam Kim, Seungnam Han, Hyejung Won, (unknown), Sukhee Cho, Jinsoo Seo, Yong Chul Bae, Se‐Young Choi, Eunjoon Kim	121

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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