Chen‐Fee Lim

669 citations
17 papers · 506 indexed · h-index 11
Topics
Thyroid Disorders and Treatments (10 papers)Estrogen and related hormone effects (4 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)
Partner nations
AustraliaNetherlands

In The Last Decade

Chen‐Fee Lim

17 papers receiving 465 citations

Peers

Chen‐Fee Lim
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 362
  • Molecular Biology 138
  • Physiology 70
  • Pediatrics, Perinatology and Child Health 40
  • Nephrology 38
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
00.5×3.5×
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-authorship network of co-authors of Chen‐Fee Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Fee Lim. A scholar is included among the top collaborators of Chen‐Fee 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 Chen‐Fee Lim. Chen‐Fee Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 56
2
The case for common reference intervals.
44
3 38
4 2
5 3
6 15
7 27
8 13
9 4
10 9
11 15
12 27
13 8
14 8
15 51
16 143
17 43

About Chen‐Fee Lim

Chen‐Fee Lim is a scholar working on Endocrinology, Diabetes and Metabolism, 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), Estrogen and related hormone effects (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (362 citations), Nephrology (38 citations) and Endocrine and Autonomic Systems (32 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, Yao Bai, G Hennemann, Marion de Jong and Eric P. Krenning. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Trends in Endocrinology and 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.

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