Chen‐Fee Lim
Impact in
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- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Thyroid Cancer Diagnosis and Treatment
- Pituitary Gland Disorders and Treatments
- Adrenal Hormones and Disorders
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- Renal function and acid-base balance
Papers in
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- Thyroid Disorders and Treatments 11
- Growth Hormone and Insulin-like Growth Factors 4
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- Ion channel regulation and function 3
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Jan R. Stockigt (14 shared papers)Duncan J. Topliss (12 shared papers)John Barlow (8 shared papers)Jim Stockigt (1 shared paper)Peter S. Hamblin (1 shared paper)David V. Tuxen (1 shared paper)G Hennemann (3 shared papers)Yao Bai (2 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Thyroid (3 papers)Metabolism (2 papers)Clinical Endocrinology (1 paper)Best Practice & Research Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- AustraliaNetherlands
In The Last Decade
Chen‐Fee Lim
18 papers receiving 489 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 407
- Nephrology 35
- Endocrine and Autonomic Systems 29
- Statistics, Probability and Uncertainty 24
- Physiology 67
Countries citing papers authored by Chen‐Fee Lim
This map shows the geographic impact of Chen‐Fee 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 Chen‐Fee Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Fee Lim more than expected).
Fields of papers citing papers by Chen‐Fee Lim
This network shows the impact of papers produced by Chen‐Fee 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 Chen‐Fee Lim. The network helps show where Chen‐Fee Lim may publish in the future.
Co-authors
The 21 scholars most cited alongside Chen‐Fee 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
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 159 | |
| 2 | 2009 | 63 | |
| 3 | 1988 | 56 | |
| 4 | 1984 | 49 | |
| 5 | The case for common reference intervals. | 2004 | 46 |
| 6 | 1996 | 44 | |
| 7 | 1989 | 30 | |
| 8 | 1994 | 29 | |
| 9 | 1995 | 18 | |
| 10 | 1991 | 17 | |
| 11 | 1993 | 16 | |
| 12 | 1991 | 11 | |
| 13 | 1989 | 9 | |
| 14 | 1989 | 8 | |
| 15 | 1992 | 5 | |
| 16 | 1995 | 4 | |
| 17 | 1995 | 2 | |
| 18 | 1986 | 1 |
About Chen‐Fee Lim
Chen‐Fee Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Pharmacology and Pharmacology, having authored 18 papers that have together received 567 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (11 papers), Estrogen and related hormone effects (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Ion channel regulation and function (3 papers), Vitamin K Research Studies (2 papers), Inflammatory mediators and NSAID effects (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (407 citations), Nephrology (35 citations), Endocrine and Autonomic Systems (29 citations), Statistics, Probability and Uncertainty (24 citations) and Physiology (67 citations). Chen‐Fee Lim has collaborated with scholars based in Australia and Netherlands. Frequent co-authors include Jan R. Stockigt, Duncan J. Topliss, John Barlow, Jim Stockigt, Peter S. Hamblin, David V. Tuxen, G Hennemann, Yao Bai, Eric P. Krenning and Marion de Jong. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid, Metabolism, Clinical Endocrinology and Best Practice & Research Clinical Endocrinology & Metabolism.
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.