Joo Heon Shin

10.6k total citations · 1 hit paper
58 papers, 2.6k citations indexed

About

Joo Heon Shin is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joo Heon Shin has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Genetics and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joo Heon Shin's work include Genetic Associations and Epidemiology (14 papers), Epigenetics and DNA Methylation (13 papers) and RNA Research and Splicing (11 papers). Joo Heon Shin is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Epigenetics and DNA Methylation (13 papers) and RNA Research and Splicing (11 papers). Joo Heon Shin collaborates with scholars based in United States, South Korea and Italy. Joo Heon Shin's co-authors include Daniel R. Weinberger, Thomas M. Hyde, Joel E. Kleinman, Andrew E. Jaffe, Yuan Gao, Ran Tao, Leonardo Collado‐Torres, Bin Xie, Amy Deep‐Soboslay and Guo‐li Ming and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Joo Heon Shin

57 papers receiving 2.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain

2013 538 citations Joo Heon Shin, Yuan Gao et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joo Heon Shin United States	27	1.7k	879	293	277	222	58	2.6k
Ran Tao United States	27	2.2k 1.2×	1.3k 1.5×	367 1.3×	307 1.1×	239 1.1×	110	3.4k
Hsien‐Sung Huang United States	18	1.8k 1.0×	1.1k 1.2×	518 1.8×	387 1.4×	192 0.9×	34	2.5k
Mi‐Hyeon Jang United States	20	1.6k 0.9×	720 0.8×	630 2.2×	227 0.8×	117 0.5×	45	2.6k
Amy Deep‐Soboslay United States	24	1.2k 0.7×	660 0.8×	458 1.6×	326 1.2×	345 1.6×	42	2.2k
James A. Knowles United States	35	1.4k 0.8×	843 1.0×	571 1.9×	350 1.3×	223 1.0×	67	3.5k
Ben Pickard United Kingdom	29	2.0k 1.1×	1.1k 1.2×	439 1.5×	216 0.8×	161 0.7×	58	2.9k
Carlo Colantuoni United States	29	1.7k 1.0×	752 0.9×	845 2.9×	485 1.8×	167 0.8×	54	3.5k
Sagiv Shifman Israel	29	1.3k 0.7×	1.5k 1.7×	230 0.8×	373 1.3×	72 0.3×	64	2.8k
Rami Abou Jamra Germany	29	1.4k 0.8×	1.1k 1.3×	544 1.9×	244 0.9×	127 0.6×	99	2.8k
Nathan Skene United Kingdom	17	2.0k 1.1×	687 0.8×	787 2.7×	440 1.6×	150 0.7×	29	3.8k

Countries citing papers authored by Joo Heon Shin

Since Specialization

Citations

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

Fields of papers citing papers by Joo Heon Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo Heon Shin. 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 Joo Heon Shin. The network helps show where Joo Heon Shin may publish in the future.

Co-authorship network of co-authors of Joo Heon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Joo Heon Shin. A scholar is included among the top collaborators of Joo Heon Shin 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 Joo Heon Shin. Joo Heon Shin 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

White, Julie D., Bryan C. Quach, Shizhong Han, et al.. (2024). Gene expression differences associated with alcohol use disorder in human brain. Molecular Psychiatry. 30(4). 1617–1626. 3 indexed citations

Tran, Matthew N., Robert A. Phillips, Joo Heon Shin, et al.. (2024). TrkB-dependent regulation of molecular signaling across septal cell types. Translational Psychiatry. 14(1). 52–52. 4 indexed citations

Pergola, Giulio, Rahul Bharadwaj, Eugenia Radulescu, et al.. (2023). Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions. Science Advances. 9(15). eade2812–eade2812. 10 indexed citations

Radulescu, Eugenia, Qiang Chen, Giulio Pergola, et al.. (2023). Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia. PLoS Genetics. 19(10). e1010989–e1010989. 1 indexed citations

Jaffe, Andrew E., Ran Tao, Stephanie C. Page, et al.. (2022). Decoding Shared Versus Divergent Transcriptomic Signatures Across Cortico-Amygdala Circuitry in PTSD and Depressive Disorders. American Journal of Psychiatry. 179(9). 673–686. 19 indexed citations

Hallock, Henry L., Kristen R. Maynard, Gregory R. Hamersky, et al.. (2020). Molecularly Defined Hippocampal Inputs Regulate Population Dynamics in the Prelimbic Cortex to Suppress Context Fear Memory Retrieval. Biological Psychiatry. 88(7). 554–565. 17 indexed citations

Jaffe, Andrew E., Daniel J. Hoeppner, Takeshi Saito, et al.. (2020). Profiling gene expression in the human dentate gyrus granule cell layer reveals insights into schizophrenia and its genetic risk. Nature Neuroscience. 23(4). 510–519. 61 indexed citations

Araki, Yoichi, et al.. (2020). SynGAP isoforms differentially regulate synaptic plasticity and dendritic development. eLife. 9. 55 indexed citations

Park, Jin Woo, Jae‐Kyung Won, Jeong Mo Bae, et al.. (2020). Clinicopathological findings of pediatric NTRK fusion mesenchymal tumors. Diagnostic Pathology. 15(1). 114–114. 21 indexed citations

10.

Choi, In Young, Hosuk Lee, Peter Andersen, et al.. (2020). Novel culture system via wirelessly controllable optical stimulation of the FGF signaling pathway for human and pig pluripotency. Biomaterials. 269. 120222–120222. 7 indexed citations

11.

Price, Amanda J., Taeyoung Hwang, Ran Tao, et al.. (2019). Characterizing the nuclear and cytoplasmic transcriptomes in developing and mature human cortex uncovers new insight into psychiatric disease gene regulation. Genome Research. 30(1). 1–11. 23 indexed citations

12.

Semick, Stephen A., Rahul Bharadwaj, Leonardo Collado‐Torres, et al.. (2019). Integrated DNA methylation and gene expression profiling across multiple brain regions implicate novel genes in Alzheimer’s disease. Acta Neuropathologica. 137(4). 557–569. 78 indexed citations

13.

Semick, Stephen A., Leonardo Collado‐Torres, Christina A. Markunas, et al.. (2018). Developmental effects of maternal smoking during pregnancy on the human frontal cortex transcriptome. Molecular Psychiatry. 25(12). 3267–3277. 16 indexed citations

14.

Jaffe, Andrew E., Richard E. Straub, Joo Heon Shin, et al.. (2018). Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis. Nature Neuroscience. 21(8). 1117–1125. 211 indexed citations

15.

Rosenberg, Avi Z., Carrie Wright, Karen Fox-Talbot, et al.. (2018). xMD-miRNA-seq to generate near in vivo miRNA expression estimates in colon epithelial cells. Scientific Reports. 8(1). 9783–9783. 7 indexed citations

16.

Punzi, Giovanna, Gianluca Ursini, Eugenia Radulescu, et al.. (2018). Association of a Noncoding RNA Postmortem With Suicide by Violent Means and In Vivo With Aggressive Phenotypes. Biological Psychiatry. 85(5). 417–424. 23 indexed citations

17.

Jaffe, Andrew E., Ran Tao, Alexis L. Norris, et al.. (2017). qSVA framework for RNA quality correction in differential expression analysis. Proceedings of the National Academy of Sciences. 114(27). 7130–7135. 59 indexed citations

18.

Li, Ming, Andrew E. Jaffe, Richard E. Straub, et al.. (2016). A human-specific AS3MT isoform and BORCS7 are molecular risk factors in the 10q24.32 schizophrenia-associated locus. Nature Medicine. 22(6). 649–656. 108 indexed citations

19.

Ohi, Kazutaka, Gianluca Ursini, Ming Li, et al.. (2015). DEGS2 polymorphism associated with cognition in schizophrenia is associated with gene expression in brain. Translational Psychiatry. 5(4). e550–e550. 20 indexed citations

20.

Świniarski, Roman W., et al.. (2006). Independent Component Analysis, Princpal Component Analysis and Rough Sets in Hybrid Mammogram Classification. IPCV. 640. 13 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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