Juebin Huang

1.7k total citations
25 papers, 712 citations indexed

About

Juebin Huang is a scholar working on Psychiatry and Mental health, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Juebin Huang has authored 25 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 6 papers in Neurology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Juebin Huang's work include Dementia and Cognitive Impairment Research (8 papers), Epilepsy research and treatment (5 papers) and Alzheimer's disease research and treatments (4 papers). Juebin Huang is often cited by papers focused on Dementia and Cognitive Impairment Research (8 papers), Epilepsy research and treatment (5 papers) and Alzheimer's disease research and treatments (4 papers). Juebin Huang collaborates with scholars based in United States, China and Netherlands. Juebin Huang's co-authors include Alexander P. Auchus, Robert P. Friedland, Munir Chowdhury, John Stirling Meyer, Rebecca F. Gottesman, Emily L. Johnson, Andrea L.C. Schneider, Anna Kucharska‐Newton, Gregory L. Krauss and Alexandra K. Lee and has published in prestigious journals such as Neurology, Annals of the New York Academy of Sciences and Neurobiology of Aging.

In The Last Decade

Juebin Huang

25 papers receiving 699 citations

Peers

Juebin Huang
Owen A. Williams United States
Dong‐Won Yang South Korea
Frank-Erik de Leeuw Netherlands
Thomas D. Parker United Kingdom
Cheng-Hsien Lu Taiwan
Evan Fletcher United States
Rikke Beese Dalby Denmark
Lauren E. Salminen United States
Vanessa A. Guzman United States
Lesley Ritchie Canada
Owen A. Williams United States
Juebin Huang
Citations per year, relative to Juebin Huang Juebin Huang (= 1×) peers Owen A. Williams

Countries citing papers authored by Juebin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Juebin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juebin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Juebin Huang. A scholar is included among the top collaborators of Juebin Huang 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 Juebin Huang. Juebin Huang 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.
Schneider, Andrea L.C., Rebecca F. Gottesman, Gregory L. Krauss, et al.. (2024). Posttraumatic Epilepsy and Dementia Risk. JAMA Neurology. 81(4). 346–346. 6 indexed citations
2.
Gugger, James J., Alexa E. Walter, Ramon Diaz‐Arrastia, et al.. (2023). Association between structural brain MRI abnormalities and epilepsy in older adults. Annals of Clinical and Translational Neurology. 11(2). 342–354. 6 indexed citations
3.
Shrestha, Srishti, Kevin Sullivan, Chad Blackshear, et al.. (2023). Association of Olfaction and Microstructural Integrity of Brain Tissue in Community-Dwelling Adults. Neurology. 101(13). e1328–e1340. 3 indexed citations
4.
Huang, Juebin, et al.. (2023). Cognitive Aspects of COVID-19. Current Neurology and Neuroscience Reports. 23(9). 531–538. 5 indexed citations
5.
Schneider, Andrea L.C., Rebecca F. Gottesman, Gregory L. Krauss, et al.. (2021). Association of Head Injury With Late-Onset Epilepsy. Neurology. 98(8). e808–e817. 8 indexed citations
6.
Huang, Juebin, Mark L. Cohen, Jiri Safar, & Alexander P. Auchus. (2021). Variably Protease-sensitive Prionopathy in a Middle-aged Man With Rapidly Progressive Dementia. Cognitive and Behavioral Neurology. 34(3). 220–225. 4 indexed citations
7.
Mei, Hao, Adrienne Tin, Jan Bressler, et al.. (2021). Whole Exome Sequence Study of Mild Cognitive Impairment in African and European Americans; the Atherosclerosis Risk in Communities‐Neurocognitive Study. Alzheimer s & Dementia. 17(S12). 1 indexed citations
8.
9.
Johnson, Emily L., Gregory L. Krauss, Alexandra K. Lee, et al.. (2019). Association between white matter hyperintensities, cortical volumes, and late-onset epilepsy. Neurology. 92(9). e988–e995. 33 indexed citations
10.
Power, Melinda C., Aozhou Wu, Robert I. Reid, et al.. (2019). Association of white matter microstructural integrity with cognition and dementia. Neurobiology of Aging. 83. 63–72. 39 indexed citations
11.
Ahmed, Anwar, et al.. (2018). [123I]Ioflupane imaging in Caucasians and non-Caucasians: Are there any differences?. Journal of the Neurological Sciences. 395. 159–163. 3 indexed citations
12.
Zhang, Zhenxin, et al.. (2011). Mortality of dementia and its major subtypes in urban and rural communities of Beijing.. PubMed. 24(5). 483–90. 9 indexed citations
13.
Huang, Juebin, et al.. (2009). Early Cognitive Predictors of Vascular Dementia: A Population-based Longitudinal Study in Chinese Elderly. Zenodo (CERN European Organization for Nuclear Research). 2(1). 1 indexed citations
14.
Huang, Juebin, Robert P. Friedland, & Alexander P. Auchus. (2007). Diffusion Tensor Imaging of Normal-Appearing White Matter in Mild Cognitive Impairment and Early Alzheimer Disease: Preliminary Evidence of Axonal Degeneration in the Temporal Lobe. American Journal of Neuroradiology. 28(10). 1943–1948. 190 indexed citations
15.
Meyer, John Stirling, Juebin Huang, & Munir Chowdhury. (2007). MRI confirms mild cognitive impairments prodromal for Alzheimer's, vascular and Parkinson-Lewy body dementias. Journal of the Neurological Sciences. 257(1-2). 97–104. 49 indexed citations
16.
Huang, Juebin & Alexander P. Auchus. (2007). Diffusion Tensor Imaging of Normal Appearing White Matter and Its Correlation with Cognitive Functioning in Mild Cognitive Impairment and Alzheimer's Disease. Annals of the New York Academy of Sciences. 1097(1). 259–264. 83 indexed citations
17.
Meyer, John Stirling, Juebin Huang, & Munir Chowdhury. (2005). MRI Abnormalities Associated with Mild Cognitive Impairments of Vascular (VMCI) Versus Neurodegenerative (NMCI) Types Prodromal for Vascular and Alzheimers Dementias. Current Alzheimer Research. 2(5). 579–585. 13 indexed citations
18.
Huang, Juebin, John Stirling Meyer, Zhenxin Zhang, et al.. (2005). Progression of Mild Cognitive Impairment to Alzheimers or Vascular Dementia Versus Normative Aging Among Elderly Chinese. Current Alzheimer Research. 2(5). 571–578. 30 indexed citations
19.
Meyer, John Stirling, Minh Quach, John Thornby, Munir Chowdhury, & Juebin Huang. (2004). MRI identifies MCI subtypes: vascular versus neurodegenerative. Journal of the Neurological Sciences. 229-230. 121–129. 17 indexed citations
20.
Zhang, Zhenxin, Dallas W. Anderson, Juebin Huang, et al.. (2003). Prevalence of Parkinson's disease and related disorders in the elderly population of greater Beijing, China. Movement Disorders. 18(7). 764–772. 40 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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