W.G. Ng

28 papers receiving 463 citations

Peers

W.G. Ng
Comparison fields: 5 of 51
  • Clinical Biochemistry 281
  • Biochemistry 102
  • Reproductive Medicine 87
  • Pediatrics, Perinatology and Child Health 146
  • Obstetrics and Gynecology 33
Replace G. Sabetta with:
G. Sabetta Italy
HS Wang Taiwan
William R. Bergren United States
Jun Ye China
W. Oostheim Netherlands
W. R. Bergren United States
Charles Roux France
Miroslav Jánošík United States
Kirkman Hn
Lorne E. Seargeant Canada
W.G. Ng relative to G. Sabetta Italy G. Sabetta's profile →
Citations per field
00.5×
G. Sabetta · 1×
Citations per year

Countries citing papers authored by W.G. Ng

Since Specialization
Citations

This map shows the geographic impact of W.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 W.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 W.G. Ng more than expected).

Fields of papers citing papers by W.G. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.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 W.G. Ng. The network helps show where W.G. Ng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198993
2 199663
3 197358
4
A case-control study of galactose consumption and metabolism in relation to ovarian cancer.
200053
5 196749
6 198941
7 196723
8 198018
9 198116
10 198316
11 197810
12 20039
13 19827
14 19787
15 19886
16 19796
17 19765
18 20084
19 19894
20 19854

About W.G. Ng

W.G. Ng is a scholar working on Clinical Biochemistry, Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology and Biochemistry, having authored 28 papers that have together received 507 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (18 papers), Neonatal Health and Biochemistry (9 papers), Amino Acid Enzymes and Metabolism (8 papers), Biochemical and Molecular Research (5 papers), Ion Transport and Channel Regulation (4 papers), Diet, Metabolism, and Disease (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Clinical Biochemistry (281 citations), Biochemistry (102 citations), Reproductive Medicine (87 citations), Pediatrics, Perinatology and Child Health (146 citations) and Obstetrics and Gynecology (33 citations). W.G. Ng has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include George N. Donnell, W. R. Bergren, Francine Kaufman, Robert L. Barbieri, Mark D. Hornstein, Daniel W. Cramer, Rebecca F. Liberman, Rogerio A. Løbo, William R. Welch and E. Robert Greenberg. Their work appears in journals such as Journal of Inherited Metabolic Disease, Pediatric Research, Endocrinology, Molecular Human Reproduction and Annals of Human Genetics.

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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