Wayne Lam
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Prenatal Screening and Diagnostics
- Assisted Reproductive Technology and Twin Pregnancy
Papers in
- Genetics 4
- Genetic Syndromes and Imprinting 2
- Genomics and Rare Diseases 1
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Eamonn R. Maher (2 shared papers)Wolf Reik (2 shared papers)Maureen Cleary (2 shared papers)Fiona MacDonald (1 shared paper)Tim Cole (1 shared paper)Anthony A. Fryer (1 shared paper)L A Brueton (1 shared paper)Edward Blair (1 shared paper)
- Journals
- European Journal of Human Genetics (2 papers)Human Reproduction (1 paper)British Journal of Urology (1 paper)Toxicology Letters (1 paper)Archives of Disease in Childhood (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Wayne Lam
7 papers receiving 328 citations
Peers
Comparison fields: 5 of 57
- Clinical Biochemistry 67
- Pediatrics, Perinatology and Child Health 136
- Genetics 169
- Reproductive Medicine 22
- Molecular Biology 154
Countries citing papers authored by Wayne Lam
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 189 | |
| 2 | 2000 | 58 | |
| 3 | 2001 | 36 | |
| 4 | 2011 | 34 | |
| 5 | 2010 | 25 | |
| 6 | 1996 | 24 | |
| 7 | Tolerance and Safety of Energy-Dense Enteral Formulae for Young Children | 2003 | 7 |
| 8 | 2024 | 0 |
About Wayne Lam
Wayne Lam is a scholar working on Genetics, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics, having authored 8 papers that have together received 373 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (2 papers), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Sharing Economy and Platforms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Metabolism and Genetic Disorders (1 paper) and Child Nutrition and Feeding Issues (1 paper). The work is most often cited by research in Clinical Biochemistry (67 citations), Pediatrics, Perinatology and Child Health (136 citations), Genetics (169 citations), Reproductive Medicine (22 citations) and Molecular Biology (154 citations). Wayne Lam has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Eamonn R. Maher, Wolf Reik, Maureen Cleary, Fiona MacDonald, Tim Cole, Anthony A. Fryer, L A Brueton, Edward Blair, Sarah Bowdin and Louise Tee. Their work appears in journals such as European Journal of Human Genetics, Human Reproduction, British Journal of Urology, Toxicology Letters and Archives of Disease in Childhood.
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.