Ka Keat Lim

1.2k total citations
52 papers, 780 citations indexed

About

Ka Keat Lim is a scholar working on Economics and Econometrics, General Health Professions and Rheumatology. According to data from OpenAlex, Ka Keat Lim has authored 52 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 12 papers in General Health Professions and 12 papers in Rheumatology. Recurrent topics in Ka Keat Lim's work include Health Systems, Economic Evaluations, Quality of Life (13 papers), Spondyloarthritis Studies and Treatments (8 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Ka Keat Lim is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (13 papers), Spondyloarthritis Studies and Treatments (8 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Ka Keat Lim collaborates with scholars based in Singapore, United Kingdom and Malaysia. Ka Keat Lim's co-authors include David B. Matchar, Truls Østbye, Chuen Seng Tan, Angelique Chan, Sandra Narayanan, Mohamed Zulfikar Rasheed, Agnes Beng-Hoi Tan, Yu Heng Kwan, Warren Fong and Julian Thumboo and has published in prestigious journals such as Scientific Reports, Annals of the Rheumatic Diseases and Journal of Medical Internet Research.

In The Last Decade

Ka Keat Lim

49 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ka Keat Lim Singapore 16 159 147 143 116 83 52 780
John Billimek United States 20 113 0.7× 42 0.3× 277 1.9× 283 2.4× 11 0.1× 72 1.1k
Eoin Moloney United Kingdom 13 149 0.9× 123 0.8× 77 0.5× 71 0.6× 7 0.1× 29 638
Kostas Athanasakis Greece 15 68 0.4× 52 0.4× 179 1.3× 127 1.1× 9 0.1× 132 808
Alireza Ahmadvand Iran 17 32 0.2× 55 0.4× 92 0.6× 71 0.6× 14 0.2× 54 671
Candice Yong United States 11 128 0.8× 18 0.1× 99 0.7× 85 0.7× 23 0.3× 38 860
Richard Alweis United States 17 115 0.7× 30 0.2× 85 0.6× 90 0.8× 32 0.4× 110 909
Rebecca Normansell United Kingdom 18 66 0.4× 49 0.3× 200 1.4× 121 1.0× 9 0.1× 27 1.7k
Kassem Kassak Lebanon 20 113 0.7× 40 0.3× 189 1.3× 221 1.9× 10 0.1× 43 953
Sofia Correia Portugal 17 85 0.5× 42 0.3× 97 0.7× 152 1.3× 65 0.8× 55 743
Sally A Kraft United States 13 72 0.5× 45 0.3× 382 2.7× 182 1.6× 22 0.3× 38 942

Countries citing papers authored by Ka Keat Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ka Keat Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka Keat Lim. 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 Ka Keat Lim. The network helps show where Ka Keat Lim may publish in the future.

Co-authorship network of co-authors of Ka Keat Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Ka Keat Lim. A scholar is included among the top collaborators of Ka Keat Lim 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 Ka Keat Lim. Ka Keat Lim 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
1.
Karalliedde, Janaka, Matthew O’Connell, Luigi Gnudi, et al.. (2025). The Prevalence and Progression of Microvascular Complications and the Interaction With Ethnicity and Socioeconomic Status in People With Type 2 Diabetes: A Systematic Review and Meta‐Analysis. Journal of Diabetes Research. 2025(1). 3307594–3307594. 8 indexed citations
2.
Zakiyah, Neily, et al.. (2024). Economic Evaluations of Digital Health Interventions for Patients With Heart Failure: Systematic Review. Journal of Medical Internet Research. 26. e53500–e53500. 13 indexed citations
3.
Chee, Kok Han, et al.. (2024). Validity and measurement equivalence of EQ-5D-5L questionnaire among heart failure patients in Malaysia: a cohort study. Journal of Medical Economics. 27(1). 607–617. 4 indexed citations
4.
Lim, Ka Keat, et al.. (2024). Trajectory of health-related quality of life during and after hospitalisation due to worsening of heart failure. Quality of Life Research. 34(2). 471–484.
5.
Lim, Ka Keat, et al.. (2024). Genetic‐Guided Pharmacotherapy for Coronary Artery Disease: A Systematic and Critical Review of Economic Evaluations. Journal of the American Heart Association. 13(5). e030058–e030058. 1 indexed citations
6.
7.
Moorkens, Evelien, Dalia Dawoud, András Inotai, et al.. (2023). A Systematic Literature Review of Gaps and Challenges in Value Assessment of Biosimilars: An ISPOR Special Interest Group Report. Value in Health. 26(8). 1137–1144. 6 indexed citations
8.
9.
Lim, Ka Keat, Rositsa Koleva‐Kolarova, & Julia Fox‐Rushby. (2022). A Comparison of the Content and Consistency of Methodological Quality and Transferability Checklists for Reviewing Model-Based Economic Evaluations. PharmacoEconomics. 40(10). 989–1003. 1 indexed citations
10.
Ning, Yilin, Peh Joo Ho, Nathalie C. Støer, et al.. (2021). A New Procedure to Assess When Estimates from the Cumulative Link Model Can Be Interpreted as Differences for Ordinal Scales in Quality of Life Studies. Clinical Epidemiology. Volume 13. 53–65. 3 indexed citations
11.
Lim, Ka Keat, et al.. (2021). Genetic-Guided Pharmacotherapy for Atrial Fibrillation: A Systematic and Critical Review of Economic Evaluations. Value in Health. 25(3). 461–472. 3 indexed citations
12.
Kwan, Yu Heng, Ka Keat Lim, Warren Fong, et al.. (2020). Risk of malignancies in patients with spondyloarthritis treated with biologics compared with those treated with non-biologics: a systematic review and meta-analysis. Therapeutic Advances in Musculoskeletal Disease. 12. 1759720X20925696–1759720X20925696. 5 indexed citations
13.
Lim, Ka Keat, David B. Matchar, Ju Lian Chong, et al.. (2019). Pre-discharge prognostic factors of physical function among older adults with hip fracture surgery: a systematic review. Osteoporosis International. 30(5). 929–938. 20 indexed citations
14.
Kwan, Yu Heng, Ka Keat Lim, Warren Fong, et al.. (2018). Validity and reliability of the ten-item Connor–Davidson Resilience Scale (CD-RISC10) instrument in patients with axial spondyloarthritis (axSpA) in Singapore. Rheumatology International. 39(1). 105–110. 13 indexed citations
15.
Kwan, Yu Heng, Ka Keat Lim, Chuen Seng Tan, et al.. (2017). Association of obesity with patient-reported outcomes in patients with axial spondyloarthritis: a cross-sectional study in an urban Asian population. Clinical Rheumatology. 36(10). 2365–2370. 20 indexed citations
16.
Lim, Ka Keat & Angelique Chan. (2016). The Association Between Loneliness and Healthcare Utilization Among Older Adults in Singapore. Value in Health. 19(7). A906–A906.
17.
18.
Lim, Ka Keat. (2014). Impact of hospital mergers on staff job satisfaction: a quantitative study. Human Resources for Health. 12(1). 70–70. 15 indexed citations
19.
Lim, Ka Keat, et al.. (2007). Outcome of Open Trigger Digit Release. Journal of Hand Surgery (European Volume). 32(4). 457–459. 66 indexed citations
20.
Lim, Ka Keat, et al.. (2005). Purification of A Burkholderia pseudomallei Antigen Via Antibody Mediated Affinity Chromatography. 1 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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