Jun Hua
Impact in
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Advanced MRI Techniques and Applications 55
-
- Genetic Neurodegenerative Diseases 8
- Cerebrospinal fluid and hydrocephalus 6
- Co-authors
- Peter C.M. van Zijl (52 shared papers)Jinyuan Zhou (7 shared papers)Craig Jones (10 shared papers)Jaishri O'Neill Blakeley (3 shared papers)James J. Pekar (18 shared papers)Qin Qin (13 shared papers)Alan J. Huang (5 shared papers)Hanzhang Lu (10 shared papers)
- Journals
- Magnetic Resonance in Medicine (12 papers)NeuroImage (8 papers)NMR in Biomedicine (6 papers)Journal of Magnetic Resonance Imaging (5 papers)Neurodegenerative Diseases (4 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Jun Hua
89 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 2.1k
- Genetics 173
- Neurology 135
- Cellular and Molecular Neuroscience 246
- Cognitive Neuroscience 274
Countries citing papers authored by Jun Hua
This map shows the geographic impact of Jun Hua'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 Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hua more than expected).
Fields of papers citing papers by Jun Hua
This network shows the impact of papers produced by Jun Hua. 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 Hua. The network helps show where Jun Hua may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hua, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 293 | |
| 2 | 2013 | 286 | |
| 3 | 2010 | 242 | |
| 4 | 2007 | 196 | |
| 5 | 2011 | 187 | |
| 6 | 2016 | 163 | |
| 7 | 2015 | 156 | |
| 8 | 2015 | 126 | |
| 9 | 2015 | 99 | |
| 10 | 2018 | 89 | |
| 11 | 2017 | 87 | |
| 12 | 2012 | 72 | |
| 13 | 2016 | 65 | |
| 14 | 2011 | 61 | |
| 15 | 2011 | 59 | |
| 16 | 2013 | 59 | |
| 17 | 2011 | 52 | |
| 18 | 2018 | 51 | |
| 19 | 2012 | 47 | |
| 20 | 2013 | 44 |
About Jun Hua
Jun Hua is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Sensory Systems, Genetics and Cognitive Neuroscience, having authored 96 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (55 papers), Genetic Neurodegenerative Diseases (8 papers), Functional Brain Connectivity Studies (8 papers), Glioma Diagnosis and Treatment (7 papers), Cerebrospinal fluid and hydrocephalus (6 papers), Olfactory and Sensory Function Studies (6 papers), Multiple Sclerosis Research Studies (6 papers) and Schizophrenia research and treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Genetics (173 citations), Neurology (135 citations), Cellular and Molecular Neuroscience (246 citations) and Cognitive Neuroscience (274 citations). Jun Hua has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Peter C.M. van Zijl, Jinyuan Zhou, Craig Jones, Jaishri O'Neill Blakeley, James J. Pekar, Qin Qin, Alan J. Huang, Hanzhang Lu, Jay J. Pillai and John Laterra. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, NMR in Biomedicine, Journal of Magnetic Resonance Imaging and Neurodegenerative Diseases.
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.