Catherine Fiévet
- Molecular Biology top 2%
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 2%
- Epidemiology top 2%
- Co-authors
- Bart StaelsJean‐Charles FruchartAnne TailleuxJohan AuwerxNathalie HennuyerJonathan R. SecklMegan C. HolmesJohn J. Mullins
- Topics
- Cholesterol and Lipid Metabolism (36 papers)Peroxisome Proliferator-Activated Receptors (36 papers)Lipoproteins and Cardiovascular Health (32 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Catherine Fiévet
116 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 3.3k
- Surgery 2.7k
- Endocrinology, Diabetes and Metabolism 2.3k
- Physiology 1.3k
- Epidemiology 1.1k
Countries citing papers authored by Catherine Fiévet
This map shows the geographic impact of Catherine Fiévet'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 Catherine Fiévet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Fiévet more than expected).
Fields of papers citing papers by Catherine Fiévet
This network shows the impact of papers produced by Catherine Fiévet. 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 Catherine Fiévet. The network helps show where Catherine Fiévet may publish in the future.
Co-authorship network of co-authors of Catherine Fiévet
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Fiévet. A scholar is included among the top collaborators of Catherine Fiévet 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 Catherine Fiévet. Catherine Fiévet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 43 | |
| 3 | 45 | |
| 4 | 53 | |
| 5 | Hyperthyroidism decreases plasma HDL cholesterol by inhibition of hepatic ABCA1 expression | 1 |
| 6 | 14 | |
| 7 | Reduced intra-adipose glucocorticoid regeneration: A novel adaptive response to, and therapy for, the metabolic syndrome | 2 |
| 8 | 19 | |
| 9 | 15 | |
| 10 | 206 | |
| 11 | 63 | |
| 12 | 153 | |
| 13 | 165 | |
| 14 | Transcriptional regulation of apolipoprotein C-III gene expression by the orphan nuclear receptor Rev-erba. | 1 |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 49 | |
| 18 | 17 | |
| 19 | 4 | |
| 20 | 3 |
About Catherine Fiévet
Catherine Fiévet is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 117 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (36 papers), Peroxisome Proliferator-Activated Receptors (36 papers) and Lipoproteins and Cardiovascular Health (32 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Biochemistry (508 citations) and Cancer Research (918 citations). Catherine Fiévet has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Bart Staels, Jean‐Charles Fruchart, Anne Tailleux, Johan Auwerx, Nathalie Hennuyer, Jonathan R. Seckl, Megan C. Holmes, John J. Mullins, Nicholas M. Morton and Hélène Duez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.