Ching Wan Lam

30 papers receiving 720 citations

Peers

Ching Wan Lam
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 210
  • Infectious Diseases 140
  • Neurology 111
  • Critical Care and Intensive Care Medicine 23
  • Clinical Biochemistry 30
Replace Valentina Citton with:
Valentina Citton Italy
C. Y. Huang China
Şenay Haspolat Türkiye
Şakìr Altunbaşak Türkiye
Joseph H. Patterson United States
Steven L. Rabinowe United States
J. Meirion Thomas United Kingdom
Irene Volonghi Italy
Seiichi Fukuda Japan
Kaisa Savola Finland
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Citations per field
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020200
2 200258
3 202150
4 201549
5 202145
6 202140
7 201229
8 200329
9 200827
10 202319
11 201118
12 200918
13 200817
14 200416
15 200714
16 202213
17 200613
18 201812
19
Early-onset primary torsional dystonia in a 4-generation Chinese family with a mutation in the DYT1 gene.
200510
20 20219

About Ching Wan Lam

Ching Wan Lam is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Cell Biology, Rheumatology and Neurology, having authored 31 papers that have together received 732 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (6 papers), Metabolism and Genetic Disorders (4 papers), Muscle metabolism and nutrition (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Ion channel regulation and function (2 papers), Genital Health and Disease (2 papers), Genomics and Rare Diseases (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (210 citations), Infectious Diseases (140 citations), Neurology (111 citations), Critical Care and Intensive Care Medicine (23 citations) and Clinical Biochemistry (30 citations). Ching Wan Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chun Yiu Law, Kelvin Kai‐Wang To, Ivan Fan‐Ngai Hung, Alan Chun Hong Lee, Wing Sun Chow, Kathryn Choon Beng Tan, Carol Ho Yi Fong, Chi‐Ho Lee, K. S. L. Lam and Yu Cho Woo. Their work appears in journals such as Clinica Chimica Acta, Frontiers in Endocrinology, International Journal of Sport Nutrition and Exercise Metabolism, Neonatology and SLEEP.

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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