Steven Chan

47 papers receiving 2.1k citations

Peers

Steven Chan
Comparison fields: 5 of 103
  • Applied Psychology 932
  • General Health Professions 586
  • Public Health, Environmental and Occupational Health 539
  • Experimental and Cognitive Psychology 223
  • Health 95
Replace Adrián Aguilera with:
Adrián Aguilera United States
Mia Liza A. Lustria United States
Marlene M. Maheu United States
Julie Prescott United Kingdom
Kenneth R. Weingardt United States
Amit Baumel Israel
Andrea K. Graham United States
Andrew J. Winzelberg United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Steven Chan Line = papers co-authored together Steven Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017173
2 2014171
3 2018135
4 2015113
5 2015108
6 201681
7 201871
8 201967
9 201467
10 201565
11 201864
12 201764
13 201962
14 201860
15 201758
16 201556
17 201556
18 200155
19 201054
20 202052

About Steven Chan

Steven Chan is a scholar working on Applied Psychology, General Health Professions, Public Health, Environmental and Occupational Health, Health and Organizational Behavior and Human Resource Management, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (27 papers), Telemedicine and Telehealth Implementation (22 papers), Mobile Health and mHealth Applications (21 papers), Healthcare Systems and Technology (7 papers), Social Media in Health Education (7 papers), Mental Health Research Topics (6 papers), Impact of Technology on Adolescents (4 papers) and Patient Satisfaction in Healthcare (3 papers). The work is most often cited by research in Applied Psychology (932 citations), General Health Professions (586 citations), Public Health, Environmental and Occupational Health (539 citations), Experimental and Cognitive Psychology (223 citations) and Health (95 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, Robert Boland, Danielle E. Ramo, 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, International Review of Psychiatry and Academic 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.

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