Winnie Luu
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
- Surgery 19
- Cholesterol and Lipid Metabolism 18
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- Steroid Chemistry and Biochemistry 3
- Receptor Mechanisms and Signaling 3
- Plant biochemistry and biosynthesis 2
- Co-authors
- Andrew J. Brown (20 shared papers)Laura J. Sharpe (16 shared papers)James R. Krycer (1 shared paper)Anika V. Prabhu (6 shared papers)Ingrid C. Gelissen (3 shared papers)Julian Stevenson (3 shared papers)Dianfan Li (1 shared paper)Ika Kristiana (3 shared papers)
- Journals
- Journal of Lipid Research (3 papers)Journal of Biological Chemistry (3 papers)Biochemical Journal (2 papers)Traffic (1 paper)Progress in Lipid Research (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Winnie Luu
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 282
- Biochemistry 128
- Surgery 445
- Molecular Biology 655
- Cell Biology 135
Countries citing papers authored by Winnie Luu
This map shows the geographic impact of Winnie Luu'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 Winnie Luu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winnie Luu more than expected).
Fields of papers citing papers by Winnie Luu
This network shows the impact of papers produced by Winnie Luu. 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 Winnie Luu. The network helps show where Winnie Luu may publish in the future.
Co-authors
The 25 scholars most cited alongside Winnie Luu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 295 | |
| 2 | 2016 | 133 | |
| 3 | 2016 | 118 | |
| 4 | 2016 | 111 | |
| 5 | 2015 | 72 | |
| 6 | 2011 | 66 | |
| 7 | 2013 | 55 | |
| 8 | 2010 | 47 | |
| 9 | 2013 | 45 | |
| 10 | 2018 | 37 | |
| 11 | 2014 | 33 | |
| 12 | 2016 | 29 | |
| 13 | 2012 | 26 | |
| 14 | 2020 | 24 | |
| 15 | 2023 | 14 | |
| 16 | 2021 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2015 | 5 | |
| 19 | 2013 | 3 | |
| 20 | 2016 | 2 |
About Winnie Luu
Winnie Luu is a scholar working on Surgery, Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (18 papers), Cancer, Lipids, and Metabolism (8 papers), Steroid Chemistry and Biochemistry (3 papers), Lipid metabolism and biosynthesis (3 papers), Hormonal Regulation and Hypertension (3 papers), Receptor Mechanisms and Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Cancer Research (282 citations), Biochemistry (128 citations), Surgery (445 citations), Molecular Biology (655 citations) and Cell Biology (135 citations). Winnie Luu has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Andrew J. Brown, Laura J. Sharpe, James R. Krycer, Anika V. Prabhu, Ingrid C. Gelissen, Julian Stevenson, Dianfan Li, Ika Kristiana, Gene Hart‐Smith and Martin P. Bucknall. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Biochemical Journal, Traffic and Progress in Lipid Research.
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.