Hyeon‐Ae Jeon

611 total citations
25 papers, 380 citations indexed

About

Hyeon‐Ae Jeon is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hyeon‐Ae Jeon has authored 25 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 8 papers in Developmental and Educational Psychology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hyeon‐Ae Jeon's work include Neurobiology of Language and Bilingualism (9 papers), Functional Brain Connectivity Studies (7 papers) and Reading and Literacy Development (5 papers). Hyeon‐Ae Jeon is often cited by papers focused on Neurobiology of Language and Bilingualism (9 papers), Functional Brain Connectivity Studies (7 papers) and Reading and Literacy Development (5 papers). Hyeon‐Ae Jeon collaborates with scholars based in South Korea, Germany and France. Hyeon‐Ae Jeon's co-authors include Angela D. Friederici, Alfred Anwander, Kyoung Min Lee, Kyoung‐Min Lee, Young-Bo Kim, Young‐Don Son, Zang‐Hee Cho, Dezső Németh, Karolina Janacsek and Minjeong Kim and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Hyeon‐Ae Jeon

25 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeon‐Ae Jeon South Korea 10 270 91 54 48 44 25 380
Jared F. Danker United States 8 467 1.7× 71 0.8× 66 1.2× 50 1.0× 18 0.4× 11 540
Christian DeVita United States 7 417 1.5× 274 3.0× 42 0.8× 40 0.8× 31 0.7× 8 511
Sophie Ferrieux France 11 450 1.7× 174 1.9× 42 0.8× 33 0.7× 43 1.0× 16 519
Hironori Nakatani Japan 10 296 1.1× 30 0.3× 58 1.1× 50 1.0× 52 1.2× 30 415
Adam Steel United States 15 519 1.9× 52 0.6× 58 1.1× 51 1.1× 106 2.4× 26 658
Ilke Öztekin Türkiye 11 590 2.2× 78 0.9× 92 1.7× 53 1.1× 21 0.5× 30 658
Terri L. Scott United States 7 301 1.1× 136 1.5× 65 1.2× 50 1.0× 18 0.4× 13 363
Kiefer J. Forseth United States 9 314 1.2× 88 1.0× 46 0.9× 29 0.6× 36 0.8× 19 370
Apoorva Bhandari United States 11 381 1.4× 60 0.7× 68 1.3× 32 0.7× 32 0.7× 23 556

Countries citing papers authored by Hyeon‐Ae Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon‐Ae Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon‐Ae Jeon. 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 Hyeon‐Ae Jeon. The network helps show where Hyeon‐Ae Jeon may publish in the future.

Co-authorship network of co-authors of Hyeon‐Ae Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon‐Ae Jeon. A scholar is included among the top collaborators of Hyeon‐Ae Jeon 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 Hyeon‐Ae Jeon. Hyeon‐Ae Jeon 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.
Janacsek, Karolina, et al.. (2022). Reduced functional connectivity supports statistical learning of temporally distributed regularities. NeuroImage. 260. 119459–119459. 14 indexed citations
2.
Shim, Miseon, et al.. (2021). Resting-State Functional Connectivity in Mathematical Expertise. Brain Sciences. 11(4). 430–430. 2 indexed citations
3.
Jeon, Hyeon‐Ae, et al.. (2021). The critical role of interference control in metaphor comprehension evidenced by the drift–diffusion model. Scientific Reports. 11(1). 19292–19292. 6 indexed citations
4.
Kim, Keonwoo, Hyeon‐Ae Jeon, Jincheol Seo, et al.. (2020). Evaluation of cognitive function in adult rhesus monkeys using the finger maze test. Applied Animal Behaviour Science. 224. 104945–104945. 4 indexed citations
5.
Jeon, Hyeon‐Ae, et al.. (2020). Potential and efficiency of statistical learning closely intertwined with individuals’ executive functions: a mathematical modeling study. Scientific Reports. 10(1). 18843–18843. 7 indexed citations
6.
Jeon, Hyeon‐Ae, et al.. (2019). Mathematical expertise modulates the architecture of dorsal and cortico-thalamic white matter tracts. Scientific Reports. 9(1). 6825–6825. 10 indexed citations
7.
Luna, Miguel A. Cabra de, et al.. (2019). Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy. Journal of Near Infrared Spectroscopy. 27(3). 191–205. 5 indexed citations
8.
Jeon, Hyeon‐Ae & Angela D. Friederici. (2016). What Does “Being an Expert” Mean to the Brain? Functional Specificity and Connectivity in Expertise. Cerebral Cortex. 27(12). 5603–5615. 19 indexed citations
9.
Jeon, Hyeon‐Ae & Angela D. Friederici. (2015). Degree of automaticity and the prefrontal cortex. Trends in Cognitive Sciences. 19(5). 244–250. 42 indexed citations
10.
Jeon, Hyeon‐Ae. (2014). Hierarchical processing in the prefrontal cortex in a variety of cognitive domains. Frontiers in Systems Neuroscience. 8. 223–223. 59 indexed citations
11.
Jeon, Hyeon‐Ae, Alfred Anwander, & Angela D. Friederici. (2014). Functional Network Mirrored in the Prefrontal Cortex, Caudate Nucleus, and Thalamus: High-Resolution Functional Imaging and Structural Connectivity. Journal of Neuroscience. 34(28). 9202–9212. 44 indexed citations
12.
Jeon, Hyeon‐Ae & Angela D. Friederici. (2013). Two principles of organization in the prefrontal cortex are cognitive hierarchy and degree of automaticity. Nature Communications. 4(1). 2041–2041. 58 indexed citations
13.
Kim, Minjeong, Kyoung‐Min Lee, Young‐Don Son, et al.. (2012). Increased Basal Forebrain Metabolism in Mild Cognitive Impairment: An Evidence for Brain Reserve in Incipient Dementia. Journal of Alzheimer s Disease. 32(4). 927–938. 26 indexed citations
14.
Chung, Jun‐Young, et al.. (2012). Dual routes for verbal repetition: Articulation-based and acoustic–phonetic codes for pseudoword and word repetition, respectively. Brain and Language. 122(1). 1–10. 9 indexed citations
15.
Jeon, Hyeon‐Ae. (2012). Effect of lexical proficiency on reading strategies used for shallow and deep orthographies. Neuroreport. 23(17). 979–983. 2 indexed citations
16.
Kim, Min Jeong, Hyeon‐Ae Jeon, & Kyoung‐Min Lee. (2010). Impairments of syntactic comprehension in Korean and the location of ischemic stroke lesions: a voxel-based lesion-symptom mapping study.. SHILAP Revista de lepidopterología. 22(1-2). 3–10. 3 indexed citations
17.
18.
Jeon, Hyeon‐Ae, et al.. (2009). Neural substrates of semantic relationships: Common and distinct left-frontal activities for generation of synonyms vs. antonyms. NeuroImage. 48(2). 449–457. 29 indexed citations
19.
Jeon, Hyeon‐Ae & Kyoung Min Lee. (2009). Diagnostic utility of sound naming in early Alzheimer’s disease. Journal of the International Neuropsychological Society. 15(2). 231–238. 6 indexed citations
20.
Kim, Min Jeong, et al.. (2008). Neuroimaging features in a case of developmental central auditory processing disorder. Journal of the Neurological Sciences. 277(1-2). 176–180. 9 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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