Daniel Li
- Clinical Psychology top 5%
- General Health Professions top 10%
- Applied Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Vincent I. O. AgyapongReham ShalabyMarianne HrabokAndrew J. GreenshawShireen SuroodApril GusnowskiWesley VuongXin‐Min Li
- Topics
- COVID-19 and Mental Health (7 papers)Digital Mental Health Interventions (7 papers)Healthcare professionals’ stress and burnout (4 papers)
- Journals
- Scientific ReportsInternational Journal of Environmental Research and Public HealthDepression and Anxiety
- Partner nations
- CanadaUnited StatesGrenada
In The Last Decade
Daniel Li
18 papers receiving 534 citations
Peers
Comparison fields: 5 of 79
- Clinical Psychology 344
- General Health Professions 145
- Applied Psychology 143
- Experimental and Cognitive Psychology 110
- Social Psychology 94
Countries citing papers authored by Daniel Li
This map shows the geographic impact of Daniel Li'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 Daniel Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Li more than expected).
Fields of papers citing papers by Daniel Li
This network shows the impact of papers produced by Daniel Li. 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 Daniel Li. The network helps show where Daniel Li may publish in the future.
Co-authorship network of co-authors of Daniel Li
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Li. A scholar is included among the top collaborators of Daniel Li 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 Daniel Li. Daniel Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 30 | |
| 6 | 46 | |
| 7 | 39 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 57 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 82 | |
| 14 | 42 | |
| 15 | 13 | |
| 16 | 100 | |
| 17 | 10 | |
| 18 | 0 | |
| 19 | 34 | |
| 20 | Toward an integrative understanding of social phobia. | 24 |
About Daniel Li
Daniel Li is a scholar working on Applied Psychology, Clinical Psychology and Neurology, having authored 21 papers that have together received 550 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (7 papers), Digital Mental Health Interventions (7 papers) and Healthcare professionals’ stress and burnout (4 papers). The work is most often cited by research in Applied Psychology (143 citations), Clinical Psychology (344 citations) and Experimental and Cognitive Psychology (110 citations). Daniel Li has collaborated with scholars based in Canada, United States and Grenada. Frequent co-authors include Vincent I. O. Agyapong, Reham Shalaby, Marianne Hrabok, Andrew J. Greenshaw, Shireen Surood, April Gusnowski, Wesley Vuong, Xin‐Min Li, Kelly Mrklas and Liana Urichuk. Their work appears in journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Depression and Anxiety.
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.