Phyllis Lun

406 citations
11 papers · 260 · h-index 5

Impact in

    • COVID-19 and Mental Health
    • Resilience and Mental Health
    • Posttraumatic Stress Disorder Research
    • Vaccine Coverage and Hesitancy
    • Health disparities and outcomes

Papers in

    • Vaccine Coverage and Hesitancy 3
    • Health disparities and outcomes 2
    • Resilience and Mental Health 1
    • Family and Disability Support Research 1
    • COVID-19 and Mental Health 1

Phyllis Lun

10 papers receiving 258 citations

Peers

Phyllis Lun
Comparison fields: 5 of 51
  • Clinical Psychology 106
  • Health 36
  • Applied Psychology 16
  • Modeling and Simulation 9
  • Experimental and Cognitive Psychology 24
Replace Alberto Ciancio with:
Alberto Ciancio United States
Megan M. Himes United States
Óscar Armando Esparza Del Villar Mexico
Safaa M. El-Zoghby Egypt
Enayat M. Soltan Egypt
Musu Jambai Sierra Leone
Zulvia Syarif United Kingdom
Abiodun Musbau Lawal Nigeria
Joya Hampton-Anderson United States
Elena Bermejo‐Martins Spain
Phyllis Lun relative to Alberto Ciancio United States Alberto Ciancio's profile →
Citations per field
00.5×3.1×
Alberto Ciancio · 1×
Citations per year

Countries citing papers authored by Phyllis Lun

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Lun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phyllis Lun. 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 Phyllis Lun. The network helps show where Phyllis Lun may publish in the future.

Co-authors

The 25 scholars most cited alongside Phyllis Lun, 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 Phyllis Lun Line = papers co-authored together Phyllis Lun links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020208
2 202018
3 202313
4 20237
5 20195
6 20233
7 20243
8 20251
9 20241
10 20231
11 20250

About Phyllis Lun

Phyllis Lun is a scholar working on Health, Clinical Psychology, Pediatrics, Perinatology and Child Health, Infectious Diseases and Social Psychology, having authored 11 papers that have together received 260 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (3 papers), Health disparities and outcomes (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Psychological Well-being and Life Satisfaction (1 paper), Resilience and Mental Health (1 paper), Family and Disability Support Research (1 paper), COVID-19 epidemiological studies (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Clinical Psychology (106 citations), Health (36 citations), Applied Psychology (16 citations), Modeling and Simulation (9 citations) and Experimental and Cognitive Psychology (24 citations). Phyllis Lun has collaborated with scholars based in Hong Kong, Singapore and United States. Frequent co-authors include Michael Y. Ni, Francis P Flores, GM Leung, Benjamin J. Cowling, Kathy Leung, Candi M C Leung, Wing Chung Chang, Cynthia Yau, Xiaoxin I Yao and Hyun Kim. Their work appears in journals such as The Lancet Regional Health - Western Pacific, Human Vaccines & Immunotherapeutics, Journal of Pediatric Psychology, The Lancet and JAMA Network Open.

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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