Sin U Lam

495 total citations · 1 hit paper
8 papers, 263 citations indexed

About

Sin U Lam is a scholar working on Applied Psychology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Sin U Lam has authored 8 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Psychology, 5 papers in Clinical Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Sin U Lam's work include Digital Mental Health Interventions (5 papers), Mindfulness and Compassion Interventions (5 papers) and Behavioral Health and Interventions (4 papers). Sin U Lam is often cited by papers focused on Digital Mental Health Interventions (5 papers), Mindfulness and Compassion Interventions (5 papers) and Behavioral Health and Interventions (4 papers). Sin U Lam collaborates with scholars based in United States. Sin U Lam's co-authors include Simon B. Goldberg, Otto Simonsson, John Torous, Shufang Sun, Richard J. Davidson, Willoughby B. Britton, Kevin M. Riordan, Donal G. MacCoon, Melissa A. Rosenkranz and Bruce Barrett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Psychology and Mindfulness.

In The Last Decade

Sin U Lam

8 papers receiving 259 citations

Hit Papers

Mobile phone-based interventions for mental health: A sys... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sin U Lam United States 7 164 139 76 54 42 8 263
Nicholas J. Kuvaas United States 10 202 1.2× 75 0.5× 82 1.1× 70 1.3× 29 0.7× 10 358
Moé Kishida United States 8 242 1.5× 62 0.4× 99 1.3× 88 1.6× 16 0.4× 11 339
Peter Meulenbeek Netherlands 9 156 1.0× 109 0.8× 134 1.8× 68 1.3× 28 0.7× 13 293
Rebecca Keyte United Kingdom 12 365 2.2× 84 0.6× 30 0.4× 97 1.8× 22 0.5× 40 439
Ann‐Marie Küchler Germany 9 129 0.8× 104 0.7× 73 1.0× 46 0.9× 35 0.8× 22 228
Sarah Strohmaier United Kingdom 7 184 1.1× 35 0.3× 73 1.0× 55 1.0× 23 0.5× 12 269
Doris Erbe Germany 3 137 0.8× 290 2.1× 165 2.2× 108 2.0× 85 2.0× 6 407
Kerry C. Kelso United States 8 177 1.1× 58 0.4× 138 1.8× 118 2.2× 29 0.7× 14 312
Hanna Wersebe Germany 8 205 1.3× 67 0.5× 135 1.8× 87 1.6× 19 0.5× 8 325
Natalie R. Bruner United States 8 70 0.4× 103 0.7× 71 0.9× 28 0.5× 30 0.7× 9 335

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-authorship network of co-authors of Sin U Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Sin U Lam. A scholar is included among the top collaborators of Sin U Lam 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 Sin U Lam. Sin U Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lam, Sin U, Corrina Frye, Cortland J. Dahl, et al.. (2024). Understanding the Implementation of Informal Meditation Practice in a Smartphone-Based Intervention: A Qualitative Analysis. Mindfulness. 15(2). 479–490. 2 indexed citations
2.
Lam, Sin U, et al.. (2023). Situating Meditation Apps Within the Ecosystem of Meditation Practice: Population-Based Survey Study. JMIR Mental Health. 10. e43565–e43565. 8 indexed citations
3.
Lam, Sin U, Kevin M. Riordan, Otto Simonsson, Richard J. Davidson, & Simon B. Goldberg. (2023). Who Sticks with Meditation? Rates and Predictors of Persistence in a Population-based Sample in the USA. Mindfulness. 14(1). 66–78. 10 indexed citations
4.
Goldberg, Simon B., Sin U Lam, Otto Simonsson, John Torous, & Shufang Sun. (2022). Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials. SHILAP Revista de lepidopterología. 1(1). e0000002–e0000002. 137 indexed citations breakdown →
5.
Lam, Sin U, et al.. (2022). Motivation for Meditation and Its Association with Meditation Practice in a National Sample of Internet Users. Mindfulness. 13(10). 2641–2651. 11 indexed citations
6.
Lam, Sin U, et al.. (2022). Overall and Differential Attrition in Mindfulness-Based Interventions: a Meta-Analysis. Mindfulness. 13(11). 2676–2690. 18 indexed citations
7.
Riordan, Kevin M., Donal G. MacCoon, Bruce Barrett, et al.. (2022). Does meditation training promote pro-environmental behavior? A cross-sectional comparison and a randomized controlled trial. Journal of Environmental Psychology. 84. 101900–101900. 10 indexed citations
8.
Goldberg, Simon B., Sin U Lam, Willoughby B. Britton, & Richard J. Davidson. (2021). Prevalence of meditation-related adverse effects in a population-based sample in the United States. Psychotherapy Research. 32(3). 291–305. 67 indexed citations

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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