Hai‐Yang Law

2.1k citations
54 papers · 1.6k · h-index 21

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Pain Management and Opioid Use

Papers in

    • Mitochondrial Function and Pathology 6
    • Epigenetics and DNA Methylation 6
    • Hemoglobinopathies and Related Disorders 15
    • Genetics and Neurodevelopmental Disorders 8
    • Genomic variations and chromosomal abnormalities 7

Hai‐Yang Law

53 papers receiving 1.6k citations

Peers

Hai‐Yang Law
Comparison fields: 5 of 104
  • Genetics 347
  • Anesthesiology and Pain Medicine 153
  • Hematology 265
  • Pediatrics, Perinatology and Child Health 385
  • Genetics 334
Replace Vivian Chan with:
Vivian Chan China
Oonagh Dowling United States
Kristine Phillips United States
A Igata Japan
Charu Deshpande United Kingdom
Bart E.P.B. Ballieux Netherlands
Martin McKibbin United Kingdom
Masashi Kishi Japan
Peter S. Chines United States
Bernd Frank Germany
Hai‐Yang Law relative to Vivian Chan China Vivian Chan's profile →
Citations per field
00.5×10×15×21.9×
Vivian Chan · 1×
Citations per year

Countries citing papers authored by Hai‐Yang Law

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Yang Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Yang Law. 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 Hai‐Yang Law. The network helps show where Hai‐Yang Law may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985372
2 2004148
3 2009109
4 200874
5 198672
6 198562
7 201057
8 200454
9 200752
10 200349
11 201245
12 200940
13 200736
14 200933
15 198532
16 200931
17 197831
18 200830
19 201224
20 200622

About Hai‐Yang Law

Hai‐Yang Law is a scholar working on Molecular Biology, Genetics, Genetics, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Prenatal Screening and Diagnostics (10 papers), Genetic Neurodegenerative Diseases (10 papers), Genetics and Neurodevelopmental Disorders (8 papers), Iron Metabolism and Disorders (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Mitochondrial Function and Pathology (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Genetics (347 citations), Anesthesiology and Pain Medicine (153 citations), Hematology (265 citations), Pediatrics, Perinatology and Child Health (385 citations) and Genetics (334 citations). Hai‐Yang Law has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Peter Scambler, Brandon J. Wainwright, Robert Williamson, Ene‐Choo Tan, Hans Eiberg, Jörg Schmidtke, Howard J. Cooke, Alex Sia, Eileen C.P. Lim and Yvonne Lim. Their work appears in journals such as Journal of Molecular Diagnostics, Clinical Chemistry, Clinical Epigenetics, Journal of Assisted Reproduction and Genetics and Expert Review of Molecular Diagnostics.

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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