Wan Ling Lee

588 total citations
26 papers, 337 citations indexed

About

Wan Ling Lee is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Clinical Psychology. According to data from OpenAlex, Wan Ling Lee has authored 26 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in General Health Professions and 7 papers in Clinical Psychology. Recurrent topics in Wan Ling Lee's work include COVID-19 and Mental Health (5 papers), Cardiac Health and Mental Health (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). Wan Ling Lee is often cited by papers focused on COVID-19 and Mental Health (5 papers), Cardiac Health and Mental Health (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). Wan Ling Lee collaborates with scholars based in Malaysia, China and Singapore. Wan Ling Lee's co-authors include Karuthan Chinna, Lydia Abdul Latif, Pathmawathi Subramanian, Omid Gholami, Sahar Khonsari, Imran Zainal Abidin, Khatijah Lim Abdullah, Vimala Ramoo, Mahmoud Danaee and Salizar Mohamed Ludin and has published in prestigious journals such as Quality of Life Research, BMJ Open and Health Education Research.

In The Last Decade

Wan Ling Lee

22 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan Ling Lee Malaysia 11 138 72 61 60 43 26 337
Bonnie Kenaley United States 7 185 1.3× 45 0.6× 35 0.6× 16 0.3× 28 0.7× 12 390
Shahzad Pashaeypoor Iran 8 147 1.1× 36 0.5× 38 0.6× 29 0.5× 10 0.2× 46 294
Jacira dos Santos Oliveira Brazil 8 98 0.7× 38 0.5× 18 0.3× 24 0.4× 10 0.2× 60 245
Darlene Welsh United States 9 142 1.0× 40 0.6× 66 1.1× 8 0.1× 16 0.4× 19 351
Mona Almalik Jordan 8 96 0.7× 55 0.8× 51 0.8× 21 0.3× 11 0.3× 16 294
Chi‐Wen Kao Taiwan 14 99 0.7× 275 3.8× 46 0.8× 19 0.3× 11 0.3× 30 512
Ivana Barać Croatia 10 100 0.7× 37 0.5× 46 0.8× 10 0.2× 8 0.2× 33 309
Caroline Gray United States 11 131 0.9× 32 0.4× 42 0.7× 12 0.2× 9 0.2× 40 393
Eddieson Pasay‐an Saudi Arabia 12 102 0.7× 18 0.3× 132 2.2× 10 0.2× 16 0.4× 54 401
Roger Carpenter United States 10 103 0.7× 30 0.4× 59 1.0× 17 0.3× 13 0.3× 26 325

Countries citing papers authored by Wan Ling Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wan Ling Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wan Ling Lee

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

All Works

20 of 20 papers shown
2.
Chui, Ping Lei, et al.. (2025). Factors influencing compassion satisfaction and compassion fatigue among nurses: a study in a tertiary hospital. BMC Nursing. 24(1). 93–93. 3 indexed citations
3.
4.
Chong, Mei Chan, et al.. (2024). Perceptions and self-management of a healthy diet among middle-aged adults with risk of stroke in North China: a qualitative exploration. BMJ Open. 14(5). e081840–e081840. 1 indexed citations
5.
Arafat, Rosyidah, et al.. (2024). Cancer pain self-management interventions in adults: scoping review. BMJ Supportive & Palliative Care. 14(4). 411–415.
6.
Lee, Wan Ling, Mahmoud Danaee, Adina Abdullah, & Li Ping Wong. (2023). Is the Blood Pressure-Enabled Smartwatch Ready to Drive Precision Medicine? Supporting Findings From a Validation Study. Cardiology Research. 14(6). 437–445. 4 indexed citations
7.
Rampal, Sanjay, et al.. (2023). Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study. Cardiovascular Engineering and Technology. 15(1). 12–21. 8 indexed citations
8.
Azmi, Anna Che, et al.. (2023). Financial Aspects of Elderly Care that Enhances their Quality of Life: A Scientometric Review. Journal of Scientometric Research. 12(3). 691–698. 1 indexed citations
9.
Lee, Wan Ling, et al.. (2023). Integrating the wrist-worn tracker in cardiac rehabilitation programmes: a scoping review. International Journal of Therapy and Rehabilitation. 30(10). 1–16.
10.
Lee, Wan Ling, et al.. (2022). Impact of increased digital use and internet gaming on nursing students' empathy: A cross-sectional study. Nurse Education Today. 119. 105563–105563. 15 indexed citations
11.
Kunaviktikul, Wipada, Emily Ang, Areewan Klunklin, et al.. (2022). Nursing students' and faculty members' experiences of online education during COVID-19 across Southeast Asia: A Photovoice study. Nurse Education Today. 111. 105307–105307. 26 indexed citations
12.
Varathan, Kasturi Dewi, et al.. (2022). Predicting Return to Work after Cardiac Rehabilitation using Machine Learning Models. Journal of Rehabilitation Medicine. 55. jrm00348–jrm00348. 1 indexed citations
13.
Lee, Wan Ling, et al.. (2021). Patients' Technology Readiness and eHealth Literacy. CIN Computers Informatics Nursing. 40(4). 244–250. 19 indexed citations
14.
Lee, Wan Ling, et al.. (2021). Patients' Technology Readiness and eHealth Literacy: Implications for Adoption and Deployment of eHealth in the COVID-19 Era and Beyond.. CIN Computers Informatics Nursing. 40(4). 244–250. 16 indexed citations
15.
Lee, Wan Ling, Dorothy DeWitt, Ping Lei Chui, et al.. (2021). Mitigation of COVID-19 Risk Among Older Adults in Nursing Homes: A Public Survey. Journal of Gerontological Nursing. 47(3). 23–28. 1 indexed citations
16.
Chui, Ping Lei, Mei Chan Chong, Khatijah Lim Abdullah, et al.. (2021). The COVID-19 Global Pandemic and Its Impact on the Mental Health of Nurses in Malaysia. Healthcare. 9(10). 1259–1259. 9 indexed citations
17.
Ramoo, Vimala, et al.. (2020). Nursing practice environment, resilience, and intention to leave among critical care nurses. Nursing in Critical Care. 26(6). 432–440. 23 indexed citations
18.
Lee, Wan Ling, Karuthan Chinna, Khatijah Lim Abdullah, & Imran Zainal Abidin. (2018). The forward‐backward and dual‐panel translation methods are comparable in producing semantic equivalent versions of a heart quality of life questionnaire. International Journal of Nursing Practice. 25(1). e12715–e12715. 34 indexed citations
19.
Lee, Wan Ling, Karuthan Chinna, Awang Bulgiba, et al.. (2015). Test–retest reliability of HeartQoL and its comparability to the MacNew heart disease health-related quality of life questionnaire. Quality of Life Research. 25(2). 351–357. 16 indexed citations
20.
Khonsari, Sahar, Pathmawathi Subramanian, Karuthan Chinna, et al.. (2014). Effect of a reminder system using an automated short message service on medication adherence following acute coronary syndrome. European Journal of Cardiovascular Nursing. 14(2). 170–179. 102 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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