Jae-Yoon Jung

1.3k total citations · 1 hit paper
30 papers, 680 citations indexed

About

Jae-Yoon Jung is a scholar working on Cognitive Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Jae-Yoon Jung has authored 30 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 11 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Jae-Yoon Jung's work include Autism Spectrum Disorder Research (11 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Genomics and Phylogenetic Studies (4 papers). Jae-Yoon Jung is often cited by papers focused on Autism Spectrum Disorder Research (11 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Genomics and Phylogenetic Studies (4 papers). Jae-Yoon Jung collaborates with scholars based in United States, Canada and France. Jae-Yoon Jung's co-authors include Dennis P. Wall, Todd F. DeLuca, Kelley Paskov, Nate Stockham, Rebecca L. Dally, Rhiannon Luyster, Jennifer K. Lowe, Daniel H. Geschwind, Elizabeth K. Ruzzo and Laura Pérez‐Cano and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Jae-Yoon Jung

29 papers receiving 658 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.

Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks

2019 257 citations Elizabeth K. Ruzzo, Laura Pérez‐Cano et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae-Yoon Jung United States	12	342	257	243	89	63	30	680
Kelley Paskov United States	16	333 1.0×	197 0.8×	309 1.3×	105 1.2×	73 1.2×	33	747
Nate Stockham United States	13	330 1.0×	191 0.7×	211 0.9×	102 1.1×	67 1.1×	27	637
Todd F. DeLuca United States	12	346 1.0×	190 0.7×	285 1.2×	148 1.7×	102 1.6×	17	780
Johannes Schumacher Germany	23	184 0.5×	646 2.5×	547 2.3×	98 1.1×	93 1.5×	83	1.9k
Christopher W. Bartlett United States	21	476 1.4×	577 2.2×	276 1.1×	140 1.6×	44 0.7×	58	1.4k
Yuanyue Zhou China	16	177 0.5×	390 1.5×	712 2.9×	41 0.5×	71 1.1×	40	1.4k
Sara Forti Italy	11	354 1.0×	71 0.3×	45 0.2×	78 0.9×	31 0.5×	16	457
Yuji Takano Japan	19	218 0.6×	63 0.2×	234 1.0×	7 0.1×	80 1.3×	80	1.2k
Nallur B. Ramachandra India	14	56 0.2×	254 1.0×	223 0.9×	23 0.3×	54 0.9×	54	528
Yulia Dementieva United States	13	126 0.4×	237 0.9×	277 1.1×	7 0.1×	26 0.4×	21	708

Countries citing papers authored by Jae-Yoon Jung

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Yoon Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Yoon Jung. 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 Jae-Yoon Jung. The network helps show where Jae-Yoon Jung may publish in the future.

Co-authorship network of co-authors of Jae-Yoon Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Yoon Jung. A scholar is included among the top collaborators of Jae-Yoon Jung 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 Jae-Yoon Jung. Jae-Yoon Jung 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

Lee, Phil H., Brenden Tervo‐Clemmens, Richard T. Liu, et al.. (2024). Use of Tobacco Products and Suicide Attempts Among Elementary School–Aged Children. JAMA Network Open. 7(2). e240376–e240376. 5 indexed citations

Cirnigliaro, Matilde, Timothy S. Chang, Laura Pérez‐Cano, et al.. (2023). The contributions of rare inherited and polygenic risk to ASD in multiplex families. Proceedings of the National Academy of Sciences. 120(31). e2215632120–e2215632120. 44 indexed citations

Paskov, Kelley, Brianna Chrisman, Nate Stockham, et al.. (2023). Identifying crossovers and shared genetic material in whole genome sequencing data from families. Genome Research. 33(10). 1747–1756. 2 indexed citations

Varma, Maya, Peter Washington, Brianna Chrisman, et al.. (2022). Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. Journal of Medical Internet Research. 24(2). e31830–e31830. 30 indexed citations

Stockham, Nate, Peter Washington, Brianna Chrisman, et al.. (2022). Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation. JMIR Public Health and Surveillance. 8(7). e31306–e31306. 3 indexed citations

Washington, Peter, Haik Kalantarian, John Kent, et al.. (2022). Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study. JMIR Pediatrics and Parenting. 5(2). e26760–e26760. 17 indexed citations

Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Mining. 14(1). 20–20. 24 indexed citations

Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinformatics. 22(1). 509–509. 8 indexed citations

Paskov, Kelley, Jae-Yoon Jung, Brianna Chrisman, et al.. (2021). Estimating sequencing error rates using families. BioData Mining. 14(1). 27–27. 6 indexed citations

10.

Jung, Jae-Yoon, et al.. (2021). Cross-Disorder Genomics Data Analysis Elucidates a Shared Genetic Basis Between Major Depression and Osteoarthritis Pain. Frontiers in Genetics. 12. 687687–687687. 11 indexed citations

11.

Baek, Minwoo, et al.. (2020). WIND POWER GENERATION PREDICTION BASED ON WEATHER FORECAST DATA USING DEEP NEURAL NETWORKS. ICIC express letters. Part B, Applications. 11(9). 863–868. 1 indexed citations

12.

Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PubMed. 26. 14–25. 17 indexed citations

13.

Sun, Min, Stefano Moretti, Kelley Paskov, et al.. (2020). Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. BMC Bioinformatics. 21(1). 356–356. 11 indexed citations

14.

Ruzzo, Elizabeth K., Laura Pérez‐Cano, Jae-Yoon Jung, et al.. (2019). Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks. Cell. 178(4). 850–866.e26. 257 indexed citations breakdown →

15.

Chrisman, Brianna, Maya Varma, Peter Washington, et al.. (2018). Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. 1470–1477. 2 indexed citations

16.

Gupta, Anika, Min Sun, Kelley Paskov, et al.. (2017). Coalitional game theory as a promising approach to identify candidate autism genes. PubMed. 23. 436–447. 3 indexed citations

17.

Wall, Dennis P., Rebecca L. Dally, Rhiannon Luyster, Jae-Yoon Jung, & Todd F. DeLuca. (2012). Use of Artificial Intelligence to Shorten the Behavioral Diagnosis of Autism. PLoS ONE. 7(8). e43855–e43855. 143 indexed citations

18.

Jung, Jae-Yoon, et al.. (2009). Software Size Measurement from Information Strategy Planning With the Function Point Method. The e-Business Studies. 14(3). 153–168.

19.

Jung, Jae-Yoon & James A. Reggia. (2008). Nested evolution of an autonomous agent using descriptive encoding. 285–286. 1 indexed citations

20.

Jung, Jae-Yoon & James A. Reggia. (2006). Evolutionary Design of Neural Network Architectures Using a Descriptive Encoding Language. IEEE Transactions on Evolutionary Computation. 10(6). 676–688. 21 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.

Explore authors with similar magnitude of impact