Elaine Quinet
- Surgery top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 5%
- Cancer Research top 5%
- Co-authors
- Alan R. TallPeter H.R. GreenRobert M. GlickmanJohn W. RileyPonnal NambiLuis B. AgellonDawn SavioAnita Halpern
- Topics
- Cholesterol and Lipid Metabolism (20 papers)Drug Transport and Resistance Mechanisms (13 papers)Peroxisome Proliferator-Activated Receptors (12 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Elaine Quinet
37 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 84
- Surgery 1.3k
- Molecular Biology 894
- Endocrinology, Diabetes and Metabolism 610
- Oncology 520
- Cancer Research 427
Countries citing papers authored by Elaine Quinet
This map shows the geographic impact of Elaine Quinet'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 Elaine Quinet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Quinet more than expected).
Fields of papers citing papers by Elaine Quinet
This network shows the impact of papers produced by Elaine Quinet. 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 Elaine Quinet. The network helps show where Elaine Quinet may publish in the future.
Co-authorship network of co-authors of Elaine Quinet
This figure shows the co-authorship network connecting the top 25 collaborators of Elaine Quinet. A scholar is included among the top collaborators of Elaine Quinet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elaine Quinet. Elaine Quinet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 53 | |
| 3 | 43 | |
| 4 | 82 | |
| 5 | 11 | |
| 6 | 57 | |
| 7 | 27 | |
| 8 | Abstract 3619: A Novel Tissue Selective LXR Ligand, WYE-672 | 1 |
| 9 | 34 | |
| 10 | 39 | |
| 11 | Abstract 1453: LXR-623, a novel Liver X Receptor modulator, displays neutral lipid effects in Cholesteryl Ester Transfer Protein-expressing species and inhibits atherosclerotic lesion progression in Low Density Lipoprotein receptor knockout mice | 3 |
| 12 | 29 | |
| 13 | 21 | |
| 14 | 102 | |
| 15 | 109 | |
| 16 | 6 | |
| 17 | 51 | |
| 18 | 149 | |
| 19 | 127 | |
| 20 | 143 |
About Elaine Quinet
Elaine Quinet is a scholar working on Biochemistry, Cancer Research and Oncology, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Drug Transport and Resistance Mechanisms (13 papers) and Peroxisome Proliferator-Activated Receptors (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (610 citations), Surgery (1.3k citations) and Cancer Research (427 citations). Elaine Quinet has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Alan R. Tall, Peter H.R. Green, Robert M. Glickman, John W. Riley, Ponnal Nambi, Luis B. Agellon, Dawn Savio, Anita Halpern, L L Rudel and R. Ramakrishnan. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.