Lee‐Ling Lim

105.2k total citations
78 papers, 1.1k citations indexed

About

Lee‐Ling Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Lee‐Ling Lim has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in Lee‐Ling Lim's work include Diabetes Treatment and Management (17 papers), Diabetes Management and Research (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Lee‐Ling Lim is often cited by papers focused on Diabetes Treatment and Management (17 papers), Diabetes Management and Research (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Lee‐Ling Lim collaborates with scholars based in Malaysia, Hong Kong and China. Lee‐Ling Lim's co-authors include Anne Yee, Huai Heng Loh, Huai Seng Loh, Juliana C.N. Chan, Alice P.S. Kong, Jeyakantha Ratnasingam, Elaine Chow, Siew Pheng Chan, Andrea O. Y. Luk and Alexander Tong Boon Tan and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lee‐Ling Lim

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee‐Ling Lim Malaysia 20 520 160 159 149 119 78 1.1k
Ádám Hulmán Denmark 22 570 1.1× 151 0.9× 167 1.1× 194 1.3× 144 1.2× 56 1.2k
Nadia Lascar United Kingdom 9 544 1.0× 176 1.1× 125 0.8× 152 1.0× 149 1.3× 13 990
Abdulla O.A.A. Al-Hamaq Qatar 17 617 1.2× 150 0.9× 249 1.6× 275 1.8× 62 0.5× 32 1.3k
American Diabetes Association Australia 7 692 1.3× 192 1.2× 98 0.6× 168 1.1× 181 1.5× 8 1.1k
Michael Leutner Austria 12 307 0.6× 197 1.2× 162 1.0× 132 0.9× 56 0.5× 50 827
Helen Lunt New Zealand 22 426 0.8× 206 1.3× 101 0.6× 295 2.0× 122 1.0× 77 1.3k
Jane Lynch United States 16 617 1.2× 287 1.8× 138 0.9× 172 1.2× 287 2.4× 40 1.2k
Gabriel Giménez‐Pérez Spain 14 338 0.7× 92 0.6× 95 0.6× 301 2.0× 124 1.0× 28 955
Hugh D. Tildesley Canada 16 870 1.7× 296 1.9× 122 0.8× 284 1.9× 148 1.2× 41 1.3k
Christine Maric‐Bilkan United States 20 386 0.7× 183 1.1× 93 0.6× 175 1.2× 152 1.3× 29 1.3k

Countries citing papers authored by Lee‐Ling Lim

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Ling Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee‐Ling Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Ling Lim. A scholar is included among the top collaborators of Lee‐Ling 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 Lee‐Ling Lim. Lee‐Ling 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.
Kuan, Yean‐Der, K. M. Goh, & Lee‐Ling Lim. (2025). Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques. Engineering Applications of Artificial Intelligence. 148. 110401–110401. 4 indexed citations
2.
Guan, Zhong Zhen, Jie Shen, Carol Y. Cheung, et al.. (2025). Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images. Diabetes Research and Clinical Practice. 230. 112560–112560.
3.
Tan, Juan, Zi Yi Lim, Francesco Zaccardi, et al.. (2025). Obesity‐related glomerulopathy: How it happens and future perspectives. Diabetic Medicine. 42(6). e70042–e70042. 2 indexed citations
4.
Lim, Lee‐Ling & Kamlesh Khunti. (2024). Therapy for HFpEF: A step forward brings new hope for people with obesity and diabetes. Med. 5(8). 848–851. 1 indexed citations
5.
Dakin, Helen, et al.. (2024). Estimating Risk Factor Time Paths Among People with Type 2 Diabetes and QALY Gains from Risk Factor Management. PharmacoEconomics. 42(9). 1017–1028. 1 indexed citations
6.
Mackenzie, Scott C., Barakatun Nisak Mohd Yusof, Alex Bickerton, et al.. (2024). Digitising diabetes education for a safer Ramadan: Design, delivery, and evaluation of massive open online courses in Ramadan-focused diabetes education. Primary care diabetes. 18(3). 340–346. 2 indexed citations
7.
Chan, Siew Pheng, Lee‐Ling Lim, Juliana C.N. Chan, & David R. Matthews. (2023). Adjusting the Use of Glucose-Lowering Agents in the Real-World Clinical Management of People with Type 2 Diabetes: A Narrative Review. Diabetes Therapy. 14(5). 823–838. 5 indexed citations
8.
Lim, Lee‐Ling, et al.. (2023). The use of prednisolone during Ramadan fasting in patients with adrenal insufficiency. Clinical Endocrinology. 100(3). 221–229. 5 indexed citations
9.
Lim, Lee‐Ling, Helen Dakin, John Buckell, et al.. (2023). Trends in all-cause mortality among adults with diagnosed type 2 diabetes in West Malaysia: 2010 – 2019. Diabetes Research and Clinical Practice. 205. 110944–110944. 3 indexed citations
10.
Ong, T., Lee‐Ling Lim, Siew Pheng Chan, et al.. (2023). A summary of the Malaysian Clinical Practice Guidelines on the management of postmenopausal osteoporosis, 2022. SHILAP Revista de lepidopterología. 9(2). 60–69. 8 indexed citations
11.
Roope, Laurence, Feisul Idzwan Mustapha, Chiu‐Wan Ng, et al.. (2023). Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia. Social Science & Medicine. 340. 116426–116426. 1 indexed citations
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Yang, Jing, et al.. (2022). Impact of multicomponent integrated care on mortality and hospitalization after acute coronary syndrome: a systematic review and meta-analysis. European Heart Journal - Quality of Care and Clinical Outcomes. 9(3). 258–267. 2 indexed citations
15.
Loh, Huai Heng, Chee-Shee Chai, Siew Li Goh, et al.. (2022). Influence and implications of the renin–angiotensin–aldosterone system in obstructive sleep apnea: An updated systematic review and meta‐analysis. Journal of Sleep Research. 32(1). e13726–e13726. 19 indexed citations
16.
Loh, Huai Heng, et al.. (2021). Improvement in mood symptoms after post‐bariatric surgery among people with obesity: A systematic review and meta‐analysis. Diabetes/Metabolism Research and Reviews. 37(8). e3458–e3458. 28 indexed citations
17.
Goulart, Alessandra C., Amrit Ray, Barrett W. Jeffers, et al.. (2020). <p>Systemic Solutions for Addressing Non-Communicable Diseases in Low- and Middle-Income Countries</p>. Journal of Multidisciplinary Healthcare. Volume 13. 693–707. 22 indexed citations
18.
Chan, Juliana C.N., Lee‐Ling Lim, Andrea O. Y. Luk, et al.. (2019). From Hong Kong Diabetes Register to JADE Program to RAMP-DM for Data-Driven Actions. Diabetes Care. 42(11). 2022–2031. 87 indexed citations
19.
Lim, Lee‐Ling, Gary Tse, Kai Chow Choi, et al.. (2019). Temporal changes in obesity and sleep habits in Hong Kong Chinese school children: a prospective study. Scientific Reports. 9(1). 5881–5881. 9 indexed citations
20.
Loh, Huai Heng, et al.. (2019). Sexual dysfunction in polycystic ovary syndrome: a systematic review and meta-analysis. Research Square. 3 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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