David Y. Hui
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Biochemistry top 0.5%
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 20
- Diet, Metabolism, and Disease 17
- Biochemistry 16
- Co-authors
- Robert W. MahleyPhilip N. HowlesT L InnerarityKarl H. WeisgraberJ K BoylesJudith A.K. HarmonyRobert E. PitasJoshua E. Basford
- Journals
- Journal of Biological Chemistry (41 papers)Journal of Lipid Research (17 papers)Arteriosclerosis Thrombosis and Vascular Biology (13 papers)Journal of Clinical Investigation (9 papers)Biochemistry (8 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
David Y. Hui
198 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Endocrinology, Diabetes and Metabolism 2.3k
- Biochemistry 821
- Physiology 2.6k
- Cancer Research 1.4k
- Surgery 3.8k
Countries citing papers authored by David Y. Hui
This map shows the geographic impact of David Y. Hui'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 David Y. Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Y. Hui more than expected).
Fields of papers citing papers by David Y. Hui
This network shows the impact of papers produced by David Y. Hui. 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 David Y. Hui. The network helps show where David Y. Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside David Y. Hui, 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 | 2025 | 0 | |
| 2 | 2023 | 13 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 34 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 36 | |
| 11 | 2016 | 15 | |
| 12 | 2012 | 67 | |
| 13 | Obesity-associated improvements in metabolic profile through expansion of adipose tissue Hit paper breakdown → | 2007 | 1035 |
| 14 | 2007 | 134 | |
| 15 | 2003 | 16 | |
| 16 | 2003 | 16 | |
| 17 | 2001 | 67 | |
| 18 | 2000 | 13 | |
| 19 | 1995 | 68 | |
| 20 | 1993 | 36 |
About David Y. Hui
David Y. Hui is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Surgery, Cancer Research and Molecular Biology, having authored 199 papers that have together received 11.7k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (52 papers), Peroxisome Proliferator-Activated Receptors (32 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Lipoproteins and Cardiovascular Health (20 papers), Adipokines, Inflammation, and Metabolic Diseases (18 papers), Pancreatic function and diabetes (18 papers), Diet, Metabolism, and Disease (17 papers) and Adipose Tissue and Metabolism (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Biochemistry (821 citations), Physiology (2.6k citations), Cancer Research (1.4k citations) and Surgery (3.8k citations). David Y. Hui has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Robert W. Mahley, Philip N. Howles, T L Innerarity, Karl H. Weisgraber, J K Boyles, Judith A.K. Harmony, Robert E. Pitas, Joshua E. Basford, David G. Kuhel and Debi K. Swertfeger. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Investigation and Biochemistry.
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.