Jun Cao
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Biological Psychiatry top 5%
Papers in
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- Functional Brain Connectivity Studies 15
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- Suicide and Self-Harm Studies 14
- Co-authors
- Wo Wang (18 shared papers)Jianmei Chen (12 shared papers)Li Kuang (20 shared papers)Ming Ai (13 shared papers)Ke Wei (9 shared papers)Weidong Fang (6 shared papers)Ming Ai (9 shared papers)Zhen Lv (6 shared papers)
In The Last Decade
Jun Cao
55 papers receiving 2.0k citations
Jun Cao's Hit Papers
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 965
- Biological Psychiatry 81
- Experimental and Cognitive Psychology 359
- Clinical Psychology 367
- Psychiatry and Mental health 185
Countries citing papers authored by Jun Cao
This map shows the geographic impact of Jun Cao'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 Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cao more than expected).
Fields of papers citing papers by Jun Cao
This network shows the impact of papers produced by Jun Cao. 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 Cao. The network helps show where Jun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cao, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reduced default mode network functional connectivity in patients with recurrent major depressive disorder Hit paper breakdown → | 2019 | 661 |
| 2 | Disrupted intrinsic functional brain topology in patients with major depressive disorder Hit paper breakdown → | 2021 | 182 |
| 3 | 2016 | 109 | |
| 4 | 2016 | 109 | |
| 5 | 2020 | 93 | |
| 6 | 2020 | 80 | |
| 7 | 2014 | 55 | |
| 8 | 2019 | 52 | |
| 9 | 2020 | 52 | |
| 10 | 2019 | 48 | |
| 11 | 2010 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2020 | 36 | |
| 14 | 2021 | 33 | |
| 15 | 2020 | 32 | |
| 16 | 2014 | 28 | |
| 17 | 2018 | 27 | |
| 18 | 2020 | 25 | |
| 19 | 2014 | 23 | |
| 20 | 2015 | 21 |
About Jun Cao
Jun Cao is a scholar working on Cognitive Neuroscience, Clinical Psychology, Neurology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Suicide and Self-Harm Studies (14 papers), Mental Health Research Topics (4 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Workplace Violence and Bullying (2 papers), Insect and Pesticide Research (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (965 citations), Biological Psychiatry (81 citations), Experimental and Cognitive Psychology (359 citations), Clinical Psychology (367 citations) and Psychiatry and Mental health (185 citations). Jun Cao has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Wo Wang, Jianmei Chen, Li Kuang, Ming Ai, Ke Wei, Weidong Fang, Ming Ai, Zhen Lv, Li Kuang and Suya Wang. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, Psychiatry Research, BMC Psychiatry and Brain Topography.
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.