Steven Chan
- Applied Psychology top 0.5%
- Digital Mental Health Interventions 28
- General Health Professions top 1%
- Mobile Health and mHealth Applications 23
- Patient Satisfaction in Healthcare 5
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- Mental Health Research Topics 7
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- Telemedicine and Telehealth Implementation 24
- Clinical Psychology top 5%
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- Healthcare Systems and Technology 9
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- Social Media in Health Education 8
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- Impact of Technology on Adolescents 5
- Co-authors
- Peter YellowleesJohn TorousDonald M. HiltyJohn LuoMichelle Burke ParishJames A. BourgeoisDanielle E. RamoRobert Boland
- Journals
- Telemedicine Journal and e-Health (6 papers)Current Psychiatry Reports (6 papers)Psychiatric Clinics of North America (4 papers)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
Steven Chan
47 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Applied Psychology 1.1k
- General Health Professions 851
- Experimental and Cognitive Psychology 350
- Public Health, Environmental and Occupational Health 685
- Clinical Psychology 380
Countries citing papers authored by Steven Chan
This map shows the geographic impact of Steven Chan'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 Steven Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Chan more than expected).
Fields of papers citing papers by Steven Chan
This network shows the impact of papers produced by Steven Chan. 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 Steven Chan. The network helps show where Steven Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Chan, 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 | 2023 | 9 | |
| 2 | 2022 | 21 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 20 | |
| 7 | 2019 | 66 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 59 | |
| 10 | 2019 | 12 | |
| 11 | Mental Health Apps: What to Tell Patients: An Evaluation Model Created Specifically for Such Apps Can Help Guide Your Discussions | 2018 | 4 |
| 12 | 2018 | 11 | |
| 13 | 2017 | 64 | |
| 14 | 2017 | 25 | |
| 15 | 2017 | 58 | |
| 16 | 2015 | 55 | |
| 17 | 2015 | 28 | |
| 18 | 2015 | 54 | |
| 19 | 2015 | 106 | |
| 20 | 2014 | 170 |
About Steven Chan
Steven Chan is a scholar working on Applied Psychology, General Health Professions and Health, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (28 papers), Telemedicine and Telehealth Implementation (24 papers), Mobile Health and mHealth Applications (23 papers), Healthcare Systems and Technology (9 papers), Social Media in Health Education (8 papers), Mental Health Research Topics (7 papers), Patient Satisfaction in Healthcare (5 papers) and Impact of Technology on Adolescents (5 papers). The work is most often cited by research in Applied Psychology (1.1k citations), General Health Professions (851 citations) and Experimental and Cognitive Psychology (350 citations). Steven Chan has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Peter Yellowlees, John Torous, Donald M. Hilty, John Luo, Michelle Burke Parish, James A. Bourgeois, Danielle E. Ramo, Robert Boland, Ladson Hinton and Ladson Hinton. Their work appears in journals such as Telemedicine Journal and e-Health, Current Psychiatry Reports, Psychiatric Clinics of North America, Academic Psychiatry and International Review of 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.