Ching‐Wan Lam

2.8k citations
85 papers · 2.0k · h-index 23

Impact in

Papers in

Ching‐Wan Lam

83 papers receiving 1.9k citations

Peers

Ching‐Wan Lam
Comparison fields: 5 of 125
  • Clinical Biochemistry 244
  • Otorhinolaryngology 146
  • Health, Toxicology and Mutagenesis 164
  • Molecular Biology 673
  • Food Science 178
Replace Krzysztof Zwierz with:
Krzysztof Zwierz Poland
Dimitrios Peschos Greece
Masafumi Wasa Japan
Nuri Bakan Türkiye
Xinyu Chen China
Paul R. Hutson United States
Frederick L. Kiechle United States
Uğur Atik Türkiye
Charles J. Kensler United States
Ching‐Wan Lam relative to Krzysztof Zwierz Poland Krzysztof Zwierz's profile →
Citations per field
00.5×4.9×
Krzysztof Zwierz · 1×
Citations per year

Countries citing papers authored by Ching‐Wan Lam

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Wan Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Wan 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 Ching‐Wan Lam. The network helps show where Ching‐Wan Lam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular prognostication of nasopharyngeal carcinoma by quantitative analysis of circulating Epstein-Barr virus DNA.
2000293
2 2013133
3 2009129
4 2003108
5 2008103
6 200286
7 200964
8 200461
9 200156
10 201646
11 199746
12 200841
13 201441
14 201437
15 201329
16
Analysis of inborn errors of metabolism: disease spectrum for expanded newborn screening in Hong Kong.
201129
17 201527
18 201427
19 200226
20 200624

About Ching‐Wan Lam

Ching‐Wan Lam is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (16 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Porphyrin Metabolism and Disorders (7 papers), Genomics and Rare Diseases (7 papers), Mitochondrial Function and Pathology (7 papers), Neonatal Health and Biochemistry (4 papers), Trace Elements in Health (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Clinical Biochemistry (244 citations), Otorhinolaryngology (146 citations), Health, Toxicology and Mutagenesis (164 citations), Molecular Biology (673 citations) and Food Science (178 citations). Ching‐Wan Lam has collaborated with scholars based in Hong Kong, China and South Korea. Frequent co-authors include Chloe Miu Mak, Chun Yiu Law, Albert Yan‐Wo Chan, Lisa Chan, Yuk Ming Dennis Lo, Sing-Fai Leung, Sui-Fan Tong, Dolly P. Huang, Philip J. Johnson and Anthony T.�C. Chan. Their work appears in journals such as Clinica Chimica Acta, Molecular Genetics and Metabolism, Clinical Chemistry, Human Mutation and Pathology.

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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