Lay Ling Tan

9 papers receiving 154 citations

Peers

Lay Ling Tan
Comparison fields: 5 of 52
  • Psychiatry and Mental health 59
  • Clinical Psychology 39
  • Biological Psychiatry 3
  • General Health Professions 29
  • Geriatrics and Gerontology 3
Replace Manuel Caldas de Almeida with:
Manuel Caldas de Almeida United Kingdom
Élisabeth Giraud-Baro France
Jean‐Daniel Carrier Canada
Andrea Tortelli France
Jacki Stansfeld United Kingdom
Maya Kulygina Russia
Tamrat Anbesaw Ethiopia
Zehra Babadağı Türkiye
Emma Francis United Kingdom
Barnaby Major United Kingdom
Lay Ling Tan relative to Manuel Caldas de Almeida United Kingdom Manuel Caldas de Almeida's profile →
Citations per field
00.5×1.5×2.4×
Manuel Caldas de Almeida · 1×
Citations per year

Countries citing papers authored by Lay Ling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lay Ling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lay Ling Tan. 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 Lay Ling Tan. The network helps show where Lay Ling Tan may publish in the future.

Co-authors

The 22 scholars most cited alongside Lay Ling Tan, 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 Lay Ling Tan Line = papers co-authored together Lay Ling Tan links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200592
2 200722
3 201916
4 202014
5 20216
6
First presentation psychosis among the elderly in Singapore.
20126
7 20175
8 20214
9 20202
10 20200

About Lay Ling Tan

Lay Ling Tan is a scholar working on Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Social Psychology, General Health Professions and Family Practice, having authored 10 papers that have together received 167 indexed citations. Recurring topics across this work include Innovations in Medical Education (3 papers), Dementia and Cognitive Impairment Research (3 papers), Counseling Practices and Supervision (2 papers), Simulation-Based Education in Healthcare (1 paper), Geriatric Care and Nursing Homes (1 paper), Healthcare professionals’ stress and burnout (1 paper), Educational and Psychological Assessments (1 paper) and Suicide and Self-Harm Studies (1 paper). The work is most often cited by research in Psychiatry and Mental health (59 citations), Clinical Psychology (39 citations), Biological Psychiatry (3 citations), General Health Professions (29 citations) and Geriatrics and Gerontology (3 citations). Lay Ling Tan has collaborated with scholars based in Singapore, Netherlands and Hong Kong. Frequent co-authors include Hwee Bee Wong, Kathryn I. Pollak, Rahul Malhotra, Chetna Malhotra, Philip Yap, Dujeepa D. Samarasekera, Pim W. Teunissen, Wee Shiong Lim, Qian Hui Chew and Kang Sim. Their work appears in journals such as International Psychogeriatrics, BMJ Open, Journal of Pain and Symptom Management, Aging & Mental Health and Annals of the Academy of Medicine Singapore.

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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