Sin U Lam

547 citations
9 papers · 314 · 1 hit paper · h-index 7

Impact in

Papers in

Sin U Lam

8 papers receiving 307 citations

Sin U Lam's Hit Papers

Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials 2022 · 153 citations
1530+1+2Years since publication50100150

Peers

Sin U Lam
Comparison fields: 5 of 51
  • Applied Psychology 116
  • Clinical Psychology 166
  • Experimental and Cognitive Psychology 48
  • Complementary and alternative medicine 18
  • Social Psychology 48
Replace Alison M. Christie with:
Alison M. Christie Australia
Noemi Walder Switzerland
Moé Kishida United States
Rebecca Keyte United Kingdom
Shane McIver Australia
Alexandra L. Silverman United States
Danelle Pettman United Kingdom
Jurrijn A. Koelen Netherlands
Sónia Gregório Portugal
Naomi Ruth Fisher United Kingdom
Sin U Lam relative to Alison M. Christie Australia Alison M. Christie's profile →
Citations per field
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Alison M. Christie · 1×
Citations per year

Countries citing papers authored by Sin U Lam

Since Specialization
Citations

This map shows the geographic impact of Sin U Lam'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 Sin U Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin U Lam more than expected).

Fields of papers citing papers by Sin U Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin U Lam. 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 Sin U Lam. The network helps show where Sin U Lam may publish in the future.

Co-authors

The 16 scholars most cited alongside Sin U Lam, 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 Sin U Lam Line = papers co-authored together Sin U Lam links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials
Hit paper breakdown →
2022153
2 202179
3 202227
4 202214
5 202314
6 202312
7 202211
8 20244
9 20260

About Sin U Lam

Sin U Lam is a scholar working on Clinical Psychology, Applied Psychology, Management, Monitoring, Policy and Law, Health, Toxicology and Mutagenesis and Sociology and Political Science, having authored 9 papers that have together received 314 indexed citations. Recurring topics across this work include Mindfulness and Compassion Interventions (6 papers), Behavioral Health and Interventions (2 papers), Digital Mental Health Interventions (1 paper), Impact of Technology on Adolescents (1 paper), Environmental Education and Sustainability (1 paper) and Urban Green Space and Health (1 paper). The work is most often cited by research in Applied Psychology (116 citations), Clinical Psychology (166 citations), Experimental and Cognitive Psychology (48 citations), Complementary and alternative medicine (18 citations) and Social Psychology (48 citations). Sin U Lam has collaborated with scholars based in United States. Frequent co-authors include Simon Benjamin Goldberg, Otto Simonsson, John Blake Torous, Shufang Sun, Richard J. Davidson, Willoughby B. Britton, Kevin M. Riordan, Donal G. MacCoon, Melissa A. Rosenkranz and Bruce P. Barrett. Their work appears in journals such as Mindfulness, JMIR Mental Health, Psychotherapy Research, Journal of Environmental Psychology and Counselling Psychology Quarterly.

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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