Howard Wong
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Biochemistry 10
- Lipid metabolism and biosynthesis 10
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- Michael C. SchotzKarl RiabowolJohn S. HillDavid ChappellAnton P. J. MiddelbergChristopher HullJayme BorensztajnNobuyo Maeda
- Journals
- Journal of Lipid Research (6 papers)Journal of Biological Chemistry (6 papers)Biotechnology and Bioengineering (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Howard Wong
40 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Biochemistry 245
- Endocrinology, Diabetes and Metabolism 372
- Cardiology and Cardiovascular Medicine 318
- Aging 23
- Cell Biology 170
Countries citing papers authored by Howard Wong
This map shows the geographic impact of Howard 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 Howard Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Wong more than expected).
Fields of papers citing papers by Howard Wong
This network shows the impact of papers produced by Howard 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 Howard Wong. The network helps show where Howard Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard 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 | 2022 | 9 | |
| 2 | 2009 | 3 | |
| 3 | 2009 | 15 | |
| 4 | 2009 | 18 | |
| 5 | 2005 | 25 | |
| 6 | 2003 | 12 | |
| 7 | 2003 | 4 | |
| 8 | 2002 | 239 | |
| 9 | 2001 | 64 | |
| 10 | 1998 | 102 | |
| 11 | 1998 | 46 | |
| 12 | 1998 | 23 | |
| 13 | 1997 | 5 | |
| 14 | 1996 | 81 | |
| 15 | 1996 | 32 | |
| 16 | 1995 | 175 | |
| 17 | 1995 | 107 | |
| 18 | 1995 | 79 | |
| 19 | 1988 | 6 | |
| 20 | 1973 | 40 |
About Howard Wong
Howard Wong is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Surgery, Genetics and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Lipid metabolism and biosynthesis (10 papers), Lipid metabolism and disorders (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Protein purification and stability (4 papers), Diabetes and associated disorders (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Biochemistry (245 citations), Endocrinology, Diabetes and Metabolism (372 citations), Cardiology and Cardiovascular Medicine (318 citations), Aging (23 citations) and Cell Biology (170 citations). Howard Wong has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Michael C. Schotz, Karl Riabowol, John S. Hill, David Chappell, Anton P. J. Middelberg, Christopher Hull, Jayme Borensztajn, Nobuyo Maeda, Sunny H. Zhang and Jesús Osada. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Biotechnology and Bioengineering, Methods in enzymology on CD-ROM/Methods in enzymology and Biochemical and Biophysical Research Communications.
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.