Yin Wu
- Clinical Psychology top 5%
- Social Psychology top 5%
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Brett D. ThombsBrooke LevisAndrea BenedettiDipika NeupaneAnkur KrishnanZelalem NegeriParash Mani BhandariYing Sun
- Topics
- Cardiovascular and exercise physiology (3 papers)Mental Health Research Topics (3 papers)Physical Activity and Health (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yin Wu
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Clinical Psychology 374
- Social Psychology 200
- General Health Professions 165
- Public Health, Environmental and Occupational Health 130
- Experimental and Cognitive Psychology 126
Countries citing papers authored by Yin Wu
This map shows the geographic impact of Yin Wu'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 Yin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Wu more than expected).
Fields of papers citing papers by Yin Wu
This network shows the impact of papers produced by Yin Wu. 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 Yin Wu. The network helps show where Yin Wu may publish in the future.
Co-authorship network of co-authors of Yin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yin Wu. A scholar is included among the top collaborators of Yin Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yin Wu. Yin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | Systemic sclerosis and COVID-19 vaccines: a SPIN Cohort study | 9 |
| 8 | 13 | |
| 9 | Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysisbreakdown → | 138 |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 151 | |
| 14 | Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depressionbreakdown → | 330 |
| 15 | 59 | |
| 16 | 35 | |
| 17 | 17 | |
| 18 | 4 | |
| 19 | 27 | |
| 20 | Clinical and EEG features of ischemic stroke patients with abnormal discharges | 0 |
About Yin Wu
Yin Wu is a scholar working on Neuropsychology and Physiological Psychology, Applied Psychology and Complementary and alternative medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (3 papers), Mental Health Research Topics (3 papers) and Physical Activity and Health (3 papers). The work is most often cited by research in Clinical Psychology (374 citations), Applied Psychology (67 citations) and Biological Psychiatry (30 citations). Yin Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Brett D. Thombs, Brooke Levis, Andrea Benedetti, Dipika Neupane, Ankur Krishnan, Zelalem Negeri, Parash Mani Bhandari, Ying Sun, Zhiqin Sang and Xiao-Chi Zhang. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.
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.