Won G. Ng
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Metabolism and Genetic Disorders 27
-
- Neonatal Health and Biochemistry 15
- Co-authors
- George N. Donnell (26 shared papers)William R. Bergren (11 shared papers)Francine Kaufman (6 shared papers)Thomas F. Roe (3 shared papers)Daniel W. Cramer (2 shared papers)Yan Xu (3 shared papers)Seymour Packman (3 shared papers)W. R. Bergren (2 shared papers)
- Journals
- Clinica Chimica Acta (6 papers)The Journal of Pediatrics (5 papers)PEDIATRICS (5 papers)Nature (3 papers)Prenatal Diagnosis (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Won G. Ng
42 papers receiving 755 citations
Peers
Comparison fields: 5 of 72
- Clinical Biochemistry 464
- Biochemistry 180
- Pediatrics, Perinatology and Child Health 302
- Physiology 183
- Reproductive Medicine 57
Countries citing papers authored by Won G. Ng
This map shows the geographic impact of Won G. Ng'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 Won G. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won G. Ng more than expected).
Fields of papers citing papers by Won G. Ng
This network shows the impact of papers produced by Won G. Ng. 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 Won G. Ng. The network helps show where Won G. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Won G. Ng, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 55 | |
| 2 | 1989 | 52 | |
| 3 | 1969 | 47 | |
| 4 | 1994 | 45 | |
| 5 | Biochemical and genetic studies of plasma and leukocyte alpha-L-fucosidase. | 1976 | 40 |
| 6 | 1977 | 37 | |
| 7 | 1984 | 37 | |
| 8 | Curious neurologic sequelae in galactosemia. | 1984 | 35 |
| 9 | 1972 | 30 | |
| 10 | 1964 | 29 | |
| 11 | 1971 | 25 | |
| 12 | 2002 | 25 | |
| 13 | 1992 | 25 | |
| 14 | 1982 | 25 | |
| 15 | 1998 | 22 | |
| 16 | 1986 | 22 | |
| 17 | 1967 | 21 | |
| 18 | 1967 | 19 | |
| 19 | 1975 | 19 | |
| 20 | 1973 | 19 |
About Won G. Ng
Won G. Ng is a scholar working on Clinical Biochemistry, Pediatrics, Perinatology and Child Health, Molecular Biology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 42 papers that have together received 805 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (27 papers), Neonatal Health and Biochemistry (15 papers), Diet, Metabolism, and Disease (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Biochemical and Molecular Research (5 papers), Aldose Reductase and Taurine (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers) and Biomedical Research and Pathophysiology (3 papers). The work is most often cited by research in Clinical Biochemistry (464 citations), Biochemistry (180 citations), Pediatrics, Perinatology and Child Health (302 citations), Physiology (183 citations) and Reproductive Medicine (57 citations). Won G. Ng has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include George N. Donnell, William R. Bergren, Francine Kaufman, Thomas F. Roe, Daniel W. Cramer, Yan Xu, Seymour Packman, W. R. Bergren, Bernard L. Harlow and Robert L. Barbieri. Their work appears in journals such as Clinica Chimica Acta, The Journal of Pediatrics, PEDIATRICS, Nature and Prenatal Diagnosis.
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.