Jun Yi Wang
Impact in
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
- Functional Brain Connectivity Studies
Papers in
- Genetics 20
- Genetics and Neurodevelopmental Disorders 20
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- Mitochondrial Function and Pathology 8
- Congenital heart defects research 4
- Co-authors
- Randi J. Hagerman (18 shared papers)Michael D. Devous (5 shared papers)Ramon Diaz‐Arrastia (5 shared papers)Susan M. Rivera (11 shared papers)Flora Tassone (12 shared papers)Carol Moore (4 shared papers)Khamid Bakhadirov (3 shared papers)Hervé Abdi (2 shared papers)
- Journals
- Scientific Reports (2 papers)NeuroImage (2 papers)Journal of Neurotrauma (2 papers)Movement Disorders (2 papers)Neurobiology of Aging (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jun Yi Wang
25 papers receiving 894 citations
Peers
Comparison fields: 5 of 71
- Neurology 311
- Cognitive Neuroscience 262
- Radiology, Nuclear Medicine and Imaging 312
- Genetics 341
- Epidemiology 331
Countries citing papers authored by Jun Yi Wang
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
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-authors
The 25 scholars most cited alongside Jun Yi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 151 | |
| 2 | 2010 | 106 | |
| 3 | 2011 | 106 | |
| 4 | 2008 | 100 | |
| 5 | 2014 | 67 | |
| 6 | 2013 | 62 | |
| 7 | 2012 | 51 | |
| 8 | 2017 | 41 | |
| 9 | 2010 | 34 | |
| 10 | 2012 | 33 | |
| 11 | 2018 | 28 | |
| 12 | 2013 | 28 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2019 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 6 |
About Jun Yi Wang
Jun Yi Wang is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 26 papers that have together received 908 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (20 papers), Mitochondrial Function and Pathology (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Autism Spectrum Disorder Research (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Congenital heart defects research (4 papers), Traumatic Brain Injury Research (4 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Neurology (311 citations), Cognitive Neuroscience (262 citations), Radiology, Nuclear Medicine and Imaging (312 citations), Genetics (341 citations) and Epidemiology (331 citations). Jun Yi Wang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Randi J. Hagerman, Michael D. Devous, Ramon Diaz‐Arrastia, Susan M. Rivera, Flora Tassone, Carol Moore, Khamid Bakhadirov, Hervé Abdi, Andrea Schneider and Caryn R. Harper. Their work appears in journals such as Scientific Reports, NeuroImage, Journal of Neurotrauma, Movement Disorders and Neurobiology of Aging.
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.