Ching Wan Lam

30 papers receiving 661 citations

Peers

Ching Wan Lam
Comparison fields: 5 of 76
  • Infectious Diseases 249
  • Endocrinology, Diabetes and Metabolism 206
  • Neurology 157
  • Critical Care and Intensive Care Medicine 45
  • Clinical Biochemistry 32
Replace Şakìr Altunbaşak with:
Şakìr Altunbaşak Türkiye
Şenay Haspolat Türkiye
Valentina Citton Italy
N. Sörensen Germany
Masahiro Nishiyama Japan
Xiaomei Zhu China
Keith Pohl United Kingdom
Sun Jun Kim South Korea
Hemant Kumar Mishra India
Faruk İncecik Türkiye
Ching Wan Lam relative to Şakìr Altunbaşak Türkiye Şakìr Altunbaşak's profile →
Citations per field
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Şakìr Altunbaşak · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 200258
3 202144
4 202144
5 201544
6 202135
7 201229
8 200328
9 200826
10 201118
11 202317
12 200816
13 200415
14 202213
15 200612
16 201812
17 200712
18 20219
19 20168
20
Early-onset primary torsional dystonia in a 4-generation Chinese family with a mutation in the DYT1 gene.
20058

About Ching Wan Lam

Ching Wan Lam is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Neurology, Molecular Biology and Genetics, having authored 30 papers that have together received 667 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Thyroid Disorders and Treatments (6 papers), Long-Term Effects of COVID-19 (4 papers), Metabolism and Genetic Disorders (4 papers), Diet and metabolism studies (3 papers), Ion channel regulation and function (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Infectious Diseases (249 citations), Endocrinology, Diabetes and Metabolism (206 citations), Neurology (157 citations), Critical Care and Intensive Care Medicine (45 citations) and Clinical Biochemistry (32 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, Anthony Raymond Tam, David Tak Wai Lui, Ivan Fan‐Ngai Hung, Yu Cho Woo, Kathryn Choon Beng Tan, Wing Chow, Chi‐Ho Lee and Alan Chun Hong Lee. Their work appears in journals such as Clinica Chimica Acta, Frontiers in Endocrinology, PeerJ, Clinical Neurology and Neurosurgery and PLoS 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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