Jun Ke
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neurology top 10%
- Vestibular and auditory disorders
- Transcranial Magnetic Stimulation Studies
Papers in ⓘ
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- Functional Brain Connectivity Studies 25
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- Advanced Neuroimaging Techniques and Applications 9
- Advanced MRI Techniques and Applications 5
- Co-authors
- Guangming Lu (21 shared papers)Rongfeng Qi (21 shared papers)Qiang Xu (18 shared papers)Feng Chen (11 shared papers)Hongru Zhao (12 shared papers)Yuan Zhong (11 shared papers)Long Jiang Zhang (5 shared papers)Yuan Zhong (6 shared papers)
- Journals
- Brain Imaging and Behavior (6 papers)The Journal of Headache and Pain (4 papers)Neuroradiology (2 papers)Frontiers in Psychiatry (2 papers)Acta Radiologica (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jun Ke
43 papers receiving 610 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 318
- Neurology 117
- Behavioral Neuroscience 40
- Psychiatry and Mental health 147
- Gastroenterology 53
Countries citing papers authored by Jun Ke
This map shows the geographic impact of Jun Ke'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 Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ke more than expected).
Fields of papers citing papers by Jun Ke
This network shows the impact of papers produced by Jun Ke. 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 Ke. The network helps show where Jun Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ke, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 46 | |
| 2 | 2016 | 45 | |
| 3 | 2015 | 42 | |
| 4 | 2018 | 35 | |
| 5 | 2018 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2018 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2016 | 14 |
About Jun Ke
Jun Ke is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Neurology and Epidemiology, having authored 50 papers that have together received 617 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (25 papers), Migraine and Headache Studies (10 papers), Traumatic Brain Injury Research (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Posttraumatic Stress Disorder Research (9 papers), Vestibular and auditory disorders (6 papers), Advanced MRI Techniques and Applications (5 papers) and Olfactory and Sensory Function Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (318 citations), Neurology (117 citations), Behavioral Neuroscience (40 citations), Psychiatry and Mental health (147 citations) and Gastroenterology (53 citations). Jun Ke has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Guangming Lu, Rongfeng Qi, Qiang Xu, Feng Chen, Hongru Zhao, Yuan Zhong, Long Jiang Zhang, Yuan Zhong, Fangyu Wang and Chang Liu. Their work appears in journals such as Brain Imaging and Behavior, The Journal of Headache and Pain, Neuroradiology, Frontiers in Psychiatry and Acta Radiologica.
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.