Steven Chan

53 papers receiving 2.3k citations

Peers

Steven Chan
Comparison fields: 5 of 106
  • Applied Psychology 1.1k
  • General Health Professions 679
  • Public Health, Environmental and Occupational Health 638
  • Experimental and Cognitive Psychology 277
  • Clinical Psychology 289
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Adrián Aguilera United States
Amanda L. Graham United States
Marlene M. Maheu United States
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Kenneth R. Weingardt United States
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Karolina Stasiak New Zealand
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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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 2014181
3 2018144
4 2015127
5 2015124
6 201688
7 201978
8 201878
9 201577
10 201475
11 201970
12 201868
13 201767
14 201766
15 201864
16 201561
17 200159
18 201558
19 202057
20 201055

About Steven Chan

Steven Chan is a scholar working on General Health Professions, Applied Psychology, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management and Health, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (29 papers), Telemedicine and Telehealth Implementation (23 papers), Mobile Health and mHealth Applications (23 papers), Healthcare Systems and Technology (9 papers), Mental Health Research Topics (8 papers), Social Media in Health Education (8 papers), Impact of Technology on Adolescents (4 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Applied Psychology (1.1k citations), General Health Professions (679 citations), Public Health, Environmental and Occupational Health (638 citations), Experimental and Cognitive Psychology (277 citations) and Clinical Psychology (289 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, Robert Boland, James A. Bourgeois, Danielle E. Ramo, Ladson Hinton and Ladson Hinton. Their work appears in journals such as Current Psychiatry Reports, Telemedicine Journal and e-Health, 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.

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