Zhiqiang Sha
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 9
- Hemispheric Asymmetry in Neuroscience 6
- Neural dynamics and brain function 3
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- Mental Health Research Topics 3
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- Genetics and Neurodevelopmental Disorders 4
- Genetic Associations and Epidemiology 3
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- Stress Responses and Cortisol 3
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- Bioinformatics and Genomic Networks 3
- Co-authors
- Yong HeTor D. WagerAndrea MechelliClyde FrancksDick SchijvenSimon E. FisherAmaia Carrión-CastilloMarc Joliot
- Journals
- Proceedings of the National Academy of Sciences (2 papers)American Journal of Psychiatry (1 paper)Biological Psychiatry (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Zhiqiang Sha
23 papers receiving 653 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 450
- Experimental and Cognitive Psychology 153
- Biological Psychiatry 17
- Neurology 48
- Psychiatry and Mental health 88
Countries citing papers authored by Zhiqiang Sha
This map shows the geographic impact of Zhiqiang Sha'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 Zhiqiang Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiqiang Sha more than expected).
Fields of papers citing papers by Zhiqiang Sha
This network shows the impact of papers produced by Zhiqiang Sha. 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 Zhiqiang Sha. The network helps show where Zhiqiang Sha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhiqiang Sha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 66 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 71 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 37 | |
| 17 | 2018 | 222 | |
| 18 | 2017 | 17 | |
| 19 | 2015 | 5 | |
| 20 | 2013 | 40 |
About Zhiqiang Sha
Zhiqiang Sha is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Anatomy, having authored 24 papers that have together received 653 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Hemispheric Asymmetry in Neuroscience (6 papers), Genetics and Neurodevelopmental Disorders (4 papers), Stress Responses and Cortisol (3 papers), Genetic Associations and Epidemiology (3 papers), Neural dynamics and brain function (3 papers), Bioinformatics and Genomic Networks (3 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Cognitive Neuroscience (450 citations), Experimental and Cognitive Psychology (153 citations) and Biological Psychiatry (17 citations). Zhiqiang Sha has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yong He, Tor D. Wager, Andrea Mechelli, Clyde Francks, Dick Schijven, Simon E. Fisher, Amaia Carrión-Castillo, Marc Joliot, Fabrice Crivello and Bernard Mazoyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Psychiatry and Biological Psychiatry.
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.