NC Wong
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Thyroid Disorders and Treatments 1
- Co-authors
- Susan L.-A. Samson (1 shared paper)G. Shillabeer (2 shared papers)Hitomi Imachi (2 shared papers)Koji Murao (2 shared papers)Toshihiko Ishida (2 shared papers)Hiroaki Dobashi (2 shared papers)Seishiro Matsubara (1 shared paper)Michio Niimi (1 shared paper)
- Journals
- Journal of Molecular Endocrinology (8 papers)Journal of Lipid Research (2 papers)Experimental Biology and Medicine (1 paper)Biomedicine & Pharmacotherapy (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
NC Wong
12 papers receiving 397 citations
Peers
Comparison fields: 5 of 70
- Biochemistry 46
- Endocrinology, Diabetes and Metabolism 85
- Physiology 97
- Molecular Biology 193
- Nutrition and Dietetics 40
Countries citing papers authored by NC Wong
This map shows the geographic impact of NC Wong'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 NC Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NC Wong more than expected).
Fields of papers citing papers by NC Wong
This network shows the impact of papers produced by NC Wong. 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 NC Wong. The network helps show where NC Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside NC Wong, 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 | 2002 | 131 | |
| 2 | 1999 | 69 | |
| 3 | 1990 | 54 | |
| 4 | 2002 | 35 | |
| 5 | 1992 | 34 | |
| 6 | 2001 | 20 | |
| 7 | 2004 | 20 | |
| 8 | 2000 | 13 | |
| 9 | 2000 | 8 | |
| 10 | 1994 | 8 | |
| 11 | 2000 | 7 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 0 |
About NC Wong
NC Wong is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 13 papers that have together received 402 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers), Tryptophan and brain disorders (2 papers), Estrogen and related hormone effects (2 papers), Thyroid Disorders and Treatments (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Biochemistry (46 citations), Endocrinology, Diabetes and Metabolism (85 citations), Physiology (97 citations), Molecular Biology (193 citations) and Nutrition and Dietetics (40 citations). NC Wong has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Susan L.-A. Samson, G. Shillabeer, Hitomi Imachi, Koji Murao, Toshihiko Ishida, Hiroaki Dobashi, Seishiro Matsubara, Michio Niimi, Makoto Sato and Arshag D. Mooradian. Their work appears in journals such as Journal of Molecular Endocrinology, Journal of Lipid Research, Experimental Biology and Medicine, Biomedicine & Pharmacotherapy and Journal of Ethnopharmacology.
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.