Wo Wang
Impact in
- Clinical Psychology top 2%
- COVID-19 and Mental Health
- Suicide and Self-Harm Studies
- Resilience and Mental Health
- Obsessive-Compulsive Spectrum Disorders
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
-
- Suicide and Self-Harm Studies 17
- Obsessive-Compulsive Spectrum Disorders 2
- COVID-19 and Mental Health 2
-
- Functional Brain Connectivity Studies 8
- Co-authors
- Li Kuang (46 shared papers)Ming Ai (14 shared papers)Jianmei Chen (10 shared papers)Liuyi Ran (12 shared papers)Yiting Kong (9 shared papers)Jianmei Chen (12 shared papers)Jun Cao (17 shared papers)Zhen Lv (14 shared papers)
In The Last Decade
Wo Wang
54 papers receiving 1.4k citations
Wo Wang's Hit Papers
Peers
Comparison fields: 5 of 98
- Clinical Psychology 640
- Cognitive Neuroscience 290
- Biological Psychiatry 34
- Neurology 95
- Experimental and Cognitive Psychology 132
Countries citing papers authored by Wo Wang
This map shows the geographic impact of Wo 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 Wo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wo Wang more than expected).
Fields of papers citing papers by Wo Wang
This network shows the impact of papers produced by Wo 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 Wo Wang. The network helps show where Wo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wo 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: A study of the general population in China at the peak of its epidemic Hit paper breakdown → | 2020 | 330 |
| 2 | 2020 | 118 | |
| 3 | 2016 | 99 | |
| 4 | 2016 | 95 | |
| 5 | 2017 | 83 | |
| 6 | 2019 | 63 | |
| 7 | 2014 | 54 | |
| 8 | 2019 | 46 | |
| 9 | 2019 | 35 | |
| 10 | 2020 | 32 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 29 | |
| 13 | 2018 | 28 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 24 | |
| 18 | 2019 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2017 | 21 |
About Wo Wang
Wo Wang is a scholar working on Clinical Psychology, Cognitive Neuroscience, Molecular Biology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (17 papers), Functional Brain Connectivity Studies (8 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), COVID-19 and Mental Health (2 papers), Insect and Pesticide Research (2 papers), Extracellular vesicles in disease (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Clinical Psychology (640 citations), Cognitive Neuroscience (290 citations), Biological Psychiatry (34 citations), Neurology (95 citations) and Experimental and Cognitive Psychology (132 citations). Wo Wang has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Li Kuang, Ming Ai, Jianmei Chen, Liuyi Ran, Yiting Kong, Jianmei Chen, Jun Cao, Zhen Lv, Dongdong Zhou and Xiaoming Xu. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, Journal of Psychiatric Research, Behavioural Brain Research and BMC 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.