Quein Pao
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Machine Learning in Bioinformatics 2
- Peroxisome Proliferator-Activated Receptors 2
- Metabolomics and Mass Spectrometry Studies 2
- Surgery 5
- Cholesterol and Lipid Metabolism 5
- Co-authors
- Henry J. Pownall (12 shared papers)John B. Massey (5 shared papers)Antonio M. Gotto (5 shared papers)Charlotte Payton‐Ross (2 shared papers)Christie M. Ballantyne (1 shared paper)Cumhur Kılınç (1 shared paper)Michael F. Rohde (2 shared papers)Roger D. Knapp (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Lipid Research (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Atherosclerosis (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Quein Pao
12 papers receiving 530 citations
Peers
Comparison fields: 5 of 61
- Biochemistry 146
- Endocrinology, Diabetes and Metabolism 185
- Nutrition and Dietetics 136
- Surgery 275
- Molecular Biology 262
Countries citing papers authored by Quein Pao
This map shows the geographic impact of Quein Pao'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 Quein Pao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quein Pao more than expected).
Fields of papers citing papers by Quein Pao
This network shows the impact of papers produced by Quein Pao. 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 Quein Pao. The network helps show where Quein Pao may publish in the future.
Co-authors
The 23 scholars most cited alongside Quein Pao, 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 | 1999 | 146 | |
| 2 | 1987 | 85 | |
| 3 | 1985 | 72 | |
| 4 | 1981 | 54 | |
| 5 | 1985 | 40 | |
| 6 | 1982 | 40 | |
| 7 | 1978 | 36 | |
| 8 | 1987 | 21 | |
| 9 | 1985 | 20 | |
| 10 | 1989 | 18 | |
| 11 | 1997 | 15 | |
| 12 | 1997 | 13 |
About Quein Pao
Quein Pao is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Biochemistry, having authored 12 papers that have together received 560 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipid Membrane Structure and Behavior (3 papers), Fatty Acid Research and Health (3 papers), Lipid metabolism and biosynthesis (3 papers), Machine Learning in Bioinformatics (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biochemistry (146 citations), Endocrinology, Diabetes and Metabolism (185 citations), Nutrition and Dietetics (136 citations), Surgery (275 citations) and Molecular Biology (262 citations). Quein Pao has collaborated with scholars based in United States and Spain. Frequent co-authors include Henry J. Pownall, John B. Massey, Antonio M. Gotto, Charlotte Payton‐Ross, Christie M. Ballantyne, Cumhur Kılınç, Michael F. Rohde, Roger D. Knapp, W B Van Winkle and C.Y. Yang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis 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.