Chen‐Fee Lim

669 citations
17 papers · 506 · h-index 11

Impact in

    • 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
    • Renal function and acid-base balance

Papers in

Chen‐Fee Lim

17 papers receiving 465 citations

Peers

Chen‐Fee Lim
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 362
  • Nephrology 38
  • Endocrine and Autonomic Systems 32
  • Statistics, Probability and Uncertainty 26
  • Biochemistry 21
Replace Geoff Beckett with:
Geoff Beckett United Kingdom
Susan J. Murdoch United States
J M Alexandre France
Stephen E. Dippe United States
Gerald M. Reaven United States
TERUHISA UMEDA Japan
J E Sealey United States
Klaus Johansen Denmark
ALLAN W. REED United States
R Tedde Italy
Chen‐Fee Lim relative to Geoff Beckett United Kingdom Geoff Beckett's profile →
Citations per field
00.5×8.7×
Geoff Beckett · 1×
Citations per year

Countries citing papers authored by Chen‐Fee Lim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chen‐Fee Lim Line = papers co-authored together Chen‐Fee Lim links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1986143
2 200956
3 198851
4
The case for common reference intervals.
200444
5 198443
6 199638
7 198927
8 199427
9 199515
10 199115
11 199313
12 19919
13 19898
14 19898
15 19924
16 19953
17 19952

About Chen‐Fee Lim

Chen‐Fee Lim is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Nephrology and Pharmacology, having authored 17 papers that have together received 506 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Estrogen and related hormone effects (4 papers), Ion channel regulation and function (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Renal function and acid-base balance (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (362 citations), Nephrology (38 citations), Endocrine and Autonomic Systems (32 citations), Statistics, Probability and Uncertainty (26 citations) and Biochemistry (21 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 Jill Tate. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid, Metabolism, Clinica Chimica Acta and European Journal of Endocrinology.

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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