NC Wong
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Co-authors
- Susan L.-A. Samson (1 shared paper)G. Shillabeer (2 shared papers)Koji Murao (2 shared papers)Toshihiko Ishida (2 shared papers)Hiroaki Dobashi (2 shared papers)Hitomi Imachi (2 shared papers)Michio Niimi (1 shared paper)Seishiro Matsubara (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 StatesChina
In The Last Decade
NC Wong
13 papers receiving 400 citations
Peers
Comparison fields: 5 of 70
- Biochemistry 42
- Endocrinology, Diabetes and Metabolism 70
- Physiology 86
- Molecular Biology 181
- Clinical Biochemistry 16
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 | 132 | |
| 2 | 1999 | 69 | |
| 3 | 1990 | 54 | |
| 4 | 2002 | 35 | |
| 5 | 1992 | 34 | |
| 6 | 2001 | 20 | |
| 7 | 2004 | 19 | |
| 8 | 2000 | 13 | |
| 9 | 2000 | 8 | |
| 10 | 1994 | 8 | |
| 11 | 2000 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 1 |
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 405 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (3 papers), Cancer, Lipids, and Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Estrogen and related hormone effects (2 papers), Tryptophan and brain disorders (2 papers), Fatty Acid Research and Health (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Biochemistry (42 citations), Endocrinology, Diabetes and Metabolism (70 citations), Physiology (86 citations), Molecular Biology (181 citations) and Clinical Biochemistry (16 citations). NC Wong has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Susan L.-A. Samson, G. Shillabeer, Koji Murao, Toshihiko Ishida, Hiroaki Dobashi, Hitomi Imachi, Michio Niimi, Seishiro Matsubara, 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.