C W Lam

27 papers receiving 426 citations

Peers

C W Lam
Comparison fields: 5 of 72
  • Clinical Biochemistry 80
  • Pediatrics, Perinatology and Child Health 63
  • Genetics 95
  • Physiology 68
  • Immunology and Allergy 15
Replace Pradeep Kumar with:
Pradeep Kumar India
K Linnemann Germany
Fatih Kardaş Türkiye
Sali Usher Israel
Nasser A. Elhawary Saudi Arabia
Uday Devaskar United States
François Feillet France
Satoko Hirano Japan
İlyas Okur Türkiye
H Manzke Germany
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Citations per year

Countries citing papers authored by C W Lam

Since Specialization
Citations

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

Fields of papers citing papers by C W Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C W Lam. 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 C W Lam. The network helps show where C W Lam may publish in the future.

Co-authors

The 25 scholars most cited alongside C W Lam, 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 C W Lam Line = papers co-authored together C W Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199778
2 200172
3 200257
4 199930
5 200520
6 200520
7 201219
8 200316
9 199415
10
Wilson's disease: a patient undiagnosed for 18 years.
200615
11 200913
12 200311
13
A novel duplication at the putative DNA polymerase alpha arrest site and a founder mutation in Chinese in the IVD gene underlie isovaleric acidaemia.
201011
14
Resistance to thyroid hormone in a Chinese family with R429Q mutation in the thyroid hormone receptor beta gene.
200510
15 20009
16 19907
17
Hereditary spastic paraplegia: identification of an SPG3A gene mutation in a Chinese family.
20097
18 19976
19 19956
20 19895

About C W Lam

C W Lam is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 442 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (7 papers), Genetics and Neurodevelopmental Disorders (3 papers), Mitochondrial Function and Pathology (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Folate and B Vitamins Research (2 papers), Neonatal Health and Biochemistry (2 papers), Trace Elements in Health (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Clinical Biochemistry (80 citations), Pediatrics, Perinatology and Child Health (63 citations), Genetics (95 citations), Physiology (68 citations) and Immunology and Allergy (15 citations). C W Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Y. Chan, Nelson L.S. Tang, Ting Fan Leung, I. H. S. Chan, A. M. Li, Chloe Miu Mak, Chi-Kong Lai, Stefano Severi, Antonio Federico and Vincenzo Sorrentino. Their work appears in journals such as Clinical Chemistry, European Journal of Pediatrics, Bone Marrow Transplantation, Neurology and Annals of Clinical Biochemistry International Journal of Laboratory 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.

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