Tak-Shing Siu

600 citations
18 papers · 473 · h-index 11

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • Biochemical and Molecular Research 2
    • Machine Learning in Bioinformatics 1
    • Metabolism and Genetic Disorders 11

Tak-Shing Siu

18 papers receiving 463 citations

Peers

Tak-Shing Siu
Comparison fields: 5 of 73
  • Clinical Biochemistry 102
  • Electrochemistry 65
  • Spectroscopy 123
  • Health, Toxicology and Mutagenesis 77
  • Biochemistry 30
Replace Zhu Zhuo with:
Zhu Zhuo United States
Sang-Ryoul Park South Korea
C. Bory France
Hui‐Fen Wu Taiwan
M Pizzichini Italy
Petrus W. Lindenburg Netherlands
H. E. Schwartz United States
Kristen J. Skogerboe United States
Xingmei Li China
Hsin-Yun Chang Taiwan
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Citations per field
00.5×9.3×
Zhu Zhuo · 1×
Citations per year

Countries citing papers authored by Tak-Shing Siu

Since Specialization
Citations

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

Fields of papers citing papers by Tak-Shing Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tak-Shing Siu. 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 Tak-Shing Siu. The network helps show where Tak-Shing Siu may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007205
2 200961
3 201133
4
Analysis of inborn errors of metabolism: disease spectrum for expanded newborn screening in Hong Kong.
201129
5 199325
6 201118
7 200917
8 201315
9
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
10 200711
11 201210
12 20109
13 19898
14 20157
15 20126
16
Cerebellar degeneration and folate deficiency due to cough mixture abuse.
20054
17 20133
18 20111

About Tak-Shing Siu

Tak-Shing Siu is a scholar working on Molecular Biology, Clinical Biochemistry, Biochemistry, Health, Toxicology and Mutagenesis and Epidemiology, having authored 18 papers that have together received 473 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Amino Acid Enzymes and Metabolism (5 papers), Mitochondrial Function and Pathology (5 papers), Mercury impact and mitigation studies (2 papers), Biochemical and Molecular Research (2 papers), Machine Learning in Bioinformatics (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Clinical Biochemistry (102 citations), Electrochemistry (65 citations), Spectroscopy (123 citations), Health, Toxicology and Mutagenesis (77 citations) and Biochemistry (30 citations). Tak-Shing Siu has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Bonnie Mei-Wah Fong, S Tam, Ching‐Wan Lam, Chloe Miu Mak, Sidney Tam, Han‐Chih Hencher Lee, Chi-Kong Lai, Ho‐Wai Tang, Kwok‐Yung Yuen and Kwan‐Ming Ng. Their work appears in journals such as Diagnostic Molecular Pathology, Clinica Chimica Acta, Analytical and Bioanalytical Chemistry, Journal of Inherited Metabolic Disease and Molecular Biology and Evolution.

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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