Veronica Lam
Impact in
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- Neonatal Health and Biochemistry
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
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- Neonatal Health and Biochemistry 10
- Co-authors
- Margaret Adams (3 shared papers)S. Gover (3 shared papers)Shannon Wing‐Ngor Au (4 shared papers)Xiaotao Wang (4 shared papers)Paul C. Engel (4 shared papers)Lucy Vandeputte-Rutten (2 shared papers)Masayo Kotaka (1 shared paper)M. C. Jones‐Mortimer (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)BMJ Open (2 papers)Human Mutation (2 papers)Mayo Clinic Proceedings (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- Hong KongUnited StatesUnited Kingdom
In The Last Decade
Veronica Lam
25 papers receiving 837 citations
Peers
Comparison fields: 5 of 99
- Pediatrics, Perinatology and Child Health 412
- Biochemistry 57
- Clinical Biochemistry 48
- Physiology 31
- Pulmonary and Respiratory Medicine 190
Countries citing papers authored by Veronica Lam
This map shows the geographic impact of Veronica 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 Veronica Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Lam more than expected).
Fields of papers citing papers by Veronica Lam
This network shows the impact of papers produced by Veronica 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 Veronica Lam. The network helps show where Veronica Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Veronica 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 221 | |
| 2 | 2005 | 147 | |
| 3 | 1980 | 78 | |
| 4 | 2008 | 59 | |
| 5 | 1999 | 41 | |
| 6 | 1991 | 38 | |
| 7 | 2002 | 36 | |
| 8 | 2002 | 35 | |
| 9 | 2005 | 33 | |
| 10 | 2006 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2006 | 23 | |
| 13 | 1990 | 18 | |
| 14 | 1988 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 1988 | 10 | |
| 18 | 1996 | 9 | |
| 19 | 2021 | 6 | |
| 20 | 2021 | 6 |
About Veronica Lam
Veronica Lam is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics, Clinical Biochemistry and Rheumatology, having authored 25 papers that have together received 860 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (10 papers), Folate and B Vitamins Research (3 papers), Metabolism and Genetic Disorders (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers), Biomedical Research and Pathophysiology (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Methemoglobinemia and Tumor Lysis Syndrome (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (412 citations), Biochemistry (57 citations), Clinical Biochemistry (48 citations), Physiology (31 citations) and Pulmonary and Respiratory Medicine (190 citations). Veronica Lam has collaborated with scholars based in Hong Kong, United States and United Kingdom. Frequent co-authors include Margaret Adams, S. Gover, Shannon Wing‐Ngor Au, Xiaotao Wang, Paul C. Engel, Lucy Vandeputte-Rutten, Masayo Kotaka, M. C. Jones‐Mortimer, Peter J. F. Henderson and Colin Kwok. Their work appears in journals such as Nucleic Acids Research, BMJ Open, Human Mutation, Mayo Clinic Proceedings and British Journal of Haematology.
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.