Jun Yi Wang

1.2k total citations
26 papers, 908 citations indexed

About

Jun Yi Wang is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jun Yi Wang has authored 26 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 15 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in Jun Yi Wang's work include Genetics and Neurodevelopmental Disorders (20 papers), Mitochondrial Function and Pathology (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Jun Yi Wang is often cited by papers focused on Genetics and Neurodevelopmental Disorders (20 papers), Mitochondrial Function and Pathology (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Jun Yi Wang collaborates with scholars based in United States, Serbia and Australia. Jun Yi Wang's co-authors include Michael D. Devous, Ramon Diaz‐Arrastia, Randi J. Hagerman, Susan M. Rivera, Flora Tassone, Carol Moore, Khamid Bakhadirov, Hervé Abdi, Andrea Schneider and Caryn R. Harper and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Jun Yi Wang

25 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yi Wang United States 15 341 331 312 311 269 26 908
Stephen McGuire United States 16 84 0.2× 89 0.3× 218 0.7× 208 0.7× 95 0.4× 31 855
Sabine Defoort‐Dhellemmes France 22 109 0.3× 65 0.2× 87 0.3× 183 0.6× 433 1.6× 72 1.2k
Ralph A. Crisostomo United States 8 641 1.9× 114 0.3× 100 0.3× 47 0.2× 504 1.9× 11 1.1k
Nathan Dorr United States 7 118 0.3× 199 0.6× 15 0.0× 195 0.6× 182 0.7× 7 535
Melissa M. McClure United States 13 46 0.1× 103 0.3× 80 0.3× 58 0.2× 105 0.4× 13 975
Arthur B. Jenny United States 13 191 0.6× 54 0.2× 56 0.2× 110 0.4× 75 0.3× 20 811
Tianyu Tang China 19 87 0.3× 139 0.4× 367 1.2× 53 0.2× 76 0.3× 43 932
Sigrid Reuter Germany 6 52 0.2× 46 0.1× 175 0.6× 284 0.9× 62 0.2× 6 600
Faez Siddiqi United States 6 19 0.1× 155 0.5× 83 0.3× 172 0.6× 60 0.2× 8 483
Gina Norato United States 14 23 0.1× 93 0.3× 62 0.2× 227 0.7× 127 0.5× 49 627

Countries citing papers authored by Jun Yi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Yi Wang. 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 Jun Yi Wang. The network helps show where Jun Yi Wang may publish in the future.

Co-authorship network of co-authors of Jun Yi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yi Wang. A scholar is included among the top collaborators of Jun Yi Wang 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 Jun Yi Wang. Jun Yi Wang 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.
Wang, Jun Yi, Laia Rodríguez‐Revenga, Kyoungmi Kim, et al.. (2024). Enlarged perivascular spaces and their association with motor, cognition, MRI markers and cerebrovascular risk factors in male fragile X premutation carriers. Journal of the Neurological Sciences. 461. 123056–123056. 1 indexed citations
2.
3.
Giulivi, Cecilia, Jun Yi Wang, & Randi J. Hagerman. (2022). Artificial neural network applied to fragile X-associated tremor/ataxia syndrome stage diagnosis based on peripheral mitochondrial bioenergetics and brain imaging outcomes. Scientific Reports. 12(1). 21382–21382. 4 indexed citations
4.
Wang, Jun Yi, Jim Grigsby, Hongjiang Wei, et al.. (2022). Clinical and Molecular Correlates of Abnormal Changes in the Cerebellum and Globus Pallidus in Fragile X Premutation. Frontiers in Neurology. 13. 797649–797649. 9 indexed citations
5.
Salcedo‐Arellano, María Jimena, Jun Yi Wang, Yingratana McLennan, et al.. (2021). Case Report: Coexistence of Alzheimer-Type Neuropathology in Fragile X-Associated Tremor Ataxia Syndrome. Frontiers in Neuroscience. 15. 720253–720253. 7 indexed citations
6.
Schneider, Andrea, Dragana Protić, Jun Yi Wang, et al.. (2020). <p>Rapidly Progressing Neurocognitive Disorder in a Male with FXTAS and Alzheimer’s Disease</p>. Clinical Interventions in Aging. Volume 15. 285–292. 6 indexed citations
7.
Wang, Jun Yi, Yiming Xia, Kyoungmi Kim, et al.. (2020). Cortical gyrification and its relationships with molecular measures and cognition in children with the FMR1 premutation. Scientific Reports. 10(1). 16059–16059. 3 indexed citations
8.
Bartolotti, James, et al.. (2020). Cerebellar-cortical function and connectivity during sensorimotor behavior in aging FMR1 gene premutation carriers. NeuroImage Clinical. 27. 102332–102332. 9 indexed citations
9.
Wang, Jun Yi, et al.. (2020). Developmental aspects of FXAND in a man with the FMR1 premutation. Molecular Genetics & Genomic Medicine. 8(2). e1050–e1050. 3 indexed citations
10.
11.
Wang, Jun Yi, David Hessl, Flora Tassone, et al.. (2019). Interaction between ventricular expansion and structural changes in the corpus callosum and putamen in males with FMR1 normal and premutation alleles. Neurobiology of Aging. 86. 27–38. 11 indexed citations
12.
Wang, Jun Yi, David Hessl, Randi J. Hagerman, et al.. (2017). Abnormal trajectories in cerebellum and brainstem volumes in carriers of the fragile X premutation. Neurobiology of Aging. 55. 11–19. 41 indexed citations
13.
Pham, Thang, Jun Yin, John Eid, et al.. (2016). Single-locus enrichment without amplification for sequencing and direct detection of epigenetic modifications. Molecular Genetics and Genomics. 291(3). 1491–1504. 16 indexed citations
14.
Wang, Jun Yi, et al.. (2016). Robust Machine Learning-Based Correction on Automatic Segmentation of the Cerebellum and Brainstem. PLoS ONE. 11(5). e0156123–e0156123. 17 indexed citations
15.
Wang, Jun Yi, David Hessl, Andrea Schneider, et al.. (2013). Fragile X–Associated Tremor/Ataxia Syndrome. JAMA Neurology. 70(8). 1022–1022. 62 indexed citations
16.
Wang, Jun Yi, David Hessl, Randi J. Hagerman, Flora Tassone, & Susan M. Rivera. (2012). Age-Dependent Structural Connectivity Effects in Fragile X Premutation. Archives of Neurology. 69(4). 482–9. 51 indexed citations
17.
Wang, Jun Yi, David Hessl, Christine Iwahashi, et al.. (2012). Influence of the fragile X mental retardation (FMR1) gene on the brain and working memory in men with normal FMR1 alleles. NeuroImage. 65. 288–298. 33 indexed citations
18.
Wang, Jun Yi, Hervé Abdi, Khamid Bakhadirov, Ramon Diaz‐Arrastia, & Michael D. Devous. (2011). A comprehensive reliability assessment of quantitative diffusion tensor tractography. NeuroImage. 60(2). 1127–1138. 106 indexed citations
19.
Warner, Matthew A., Carlos Marquez de la Plata, Jeffrey S. Spence, et al.. (2010). Assessing Spatial Relationships between Axonal Integrity, Regional Brain Volumes, and Neuropsychological Outcomes after Traumatic Axonal Injury. Journal of Neurotrauma. 27(12). 2121–2130. 106 indexed citations
20.
Plata, Carlos D. Marquez de la, Fan Yang, Jun Yi Wang, et al.. (2010). Diffusion Tensor Imaging Biomarkers for Traumatic Axonal Injury: Analysis of Three Analytic Methods. Journal of the International Neuropsychological Society. 17(1). 24–35. 34 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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