Wayne Lam

2.2k citations
22 papers · 715 · h-index 11

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 2
    • Genetic Syndromes and Imprinting 4
    • Connective tissue disorders research 3
    • BRCA gene mutations in cancer 2
    • Genetics and Neurodevelopmental Disorders 2

Wayne Lam

21 papers receiving 705 citations

Peers

Wayne Lam
Comparison fields: 5 of 74
  • Genetics 352
  • Pediatrics, Perinatology and Child Health 143
  • Molecular Biology 466
  • Cell Biology 89
  • Endocrinology, Diabetes and Metabolism 77
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Wayne Lam relative to Lakshmi Mehta United States Lakshmi Mehta's profile →
Citations per field
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Lakshmi Mehta · 1×
Citations per year

Countries citing papers authored by Wayne Lam

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003124
2 1999123
3 201488
4 199773
5 200970
6 200750
7 201744
8 201637
9 201021
10 200816
11 200513
12 202010
13 20088
14 20076
15 20236
16 19986
17 20206
18 20115
19 20094
20 20233

About Wayne Lam

Wayne Lam is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cell Biology and Epidemiology, having authored 22 papers that have together received 715 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (6 papers), Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (4 papers), Connective tissue disorders research (3 papers), Skin and Cellular Biology Research (2 papers), BRCA gene mutations in cancer (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (352 citations), Pediatrics, Perinatology and Child Health (143 citations), Molecular Biology (466 citations), Cell Biology (89 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Wayne Lam has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Johanna A. Joyce, Paul N. Schofield, Wolf Reik, Eamonn R. Maher, Sachiko Oh‐ishi, Dian Donnai, Izuho Hatada, Trevor Cole, Tsunehiro Mukai and E.R. Maher. Their work appears in journals such as Journal of Medical Genetics, European Journal of Human Genetics, The Journal of Urology, BMJ Open and Familial Cancer.

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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