Lee‐Ling Lim
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Thyroid Disorders and Treatments
- Diabetes Management and Education
- Health Informatics top 10%
Papers in
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- Diabetes Treatment and Management 13
- Diabetes Management and Research 10
- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Diabetes Management and Education 5
- Physiology 10
- Dietary Effects on Health 4
- Diet and metabolism studies 4
- Co-authors
- Huai Heng Loh (7 shared papers)Anne Yee (7 shared papers)Huai Seng Loh (6 shared papers)Juliana C.N. Chan (15 shared papers)Alice P.S. Kong (14 shared papers)Jeyakantha Ratnasingam (20 shared papers)Elaine Chow (6 shared papers)Siew Pheng Chan (14 shared papers)
In The Last Decade
Lee‐Ling Lim
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Endocrinology, Diabetes and Metabolism 400
- Health Informatics 20
- Obstetrics and Gynecology 40
- Nephrology 38
- Physiology 129
Countries citing papers authored by Lee‐Ling Lim
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
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-authors
The 25 scholars most cited alongside Lee‐Ling Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2018 | 92 | |
| 3 | 2019 | 91 | |
| 4 | 2018 | 85 | |
| 5 | 2022 | 59 | |
| 6 | 2024 | 48 | |
| 7 | 2018 | 46 | |
| 8 | 2018 | 41 | |
| 9 | 2024 | 35 | |
| 10 | 2014 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2019 | 31 | |
| 13 | 2018 | 31 | |
| 14 | 2023 | 30 | |
| 15 | 2020 | 30 | |
| 16 | 2020 | 24 | |
| 17 | 2020 | 22 | |
| 18 | 2023 | 21 | |
| 19 | 2022 | 20 | |
| 20 | 2023 | 20 |
About Lee‐Ling Lim
Lee‐Ling Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Nephrology and Pharmacology, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (13 papers), Diabetes Management and Research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Management and Education (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Pharmacology and Obesity Treatment (4 papers), Dietary Effects on Health (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (400 citations), Health Informatics (20 citations), Obstetrics and Gynecology (40 citations), Nephrology (38 citations) and Physiology (129 citations). Lee‐Ling Lim has collaborated with scholars based in Malaysia, Hong Kong and China. Frequent co-authors include Huai Heng Loh, Anne Yee, Huai Seng Loh, Juliana C.N. Chan, Alice P.S. Kong, Jeyakantha Ratnasingam, Elaine Chow, Siew Pheng Chan, Alexander Tong Boon Tan and Andrea O. Y. Luk. Their work appears in journals such as Diabetes Research and Clinical Practice, Journal of Diabetes Investigation, Diabetes Obesity and Metabolism, Diabetes Care and Diabetic Medicine.
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.