Jacqueline Etienne
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Biochemistry top 10%
- Co-authors
- Lydie NoéMarc T. HamiltonAlisha K. HollowayGérard AilhaudChristian VannierJ. PolonovskiEz‐Zoubir AmriRobert H. Eckel
- Topics
- Lipid metabolism and disorders (9 papers)Adipose Tissue and Metabolism (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Jacqueline Etienne
23 papers receiving 470 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 165
- Cardiology and Cardiovascular Medicine 162
- Physiology 160
- Endocrinology, Diabetes and Metabolism 114
- Biochemistry 73
Countries citing papers authored by Jacqueline Etienne
This map shows the geographic impact of Jacqueline Etienne'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 Jacqueline Etienne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Etienne more than expected).
Fields of papers citing papers by Jacqueline Etienne
This network shows the impact of papers produced by Jacqueline Etienne. 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 Jacqueline Etienne. The network helps show where Jacqueline Etienne may publish in the future.
Co-authorship network of co-authors of Jacqueline Etienne
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Etienne. A scholar is included among the top collaborators of Jacqueline Etienne 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 Jacqueline Etienne. Jacqueline Etienne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 24 | |
| 3 | 25 | |
| 4 | 34 | |
| 5 | 24 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 41 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 45 | |
| 12 | 6 | |
| 13 | 24 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | Activité phospholipasique A2 du sérum de rat: Association de deux protéines | 4 |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 14 |
About Jacqueline Etienne
Jacqueline Etienne is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 23 papers that have together received 482 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (9 papers), Adipose Tissue and Metabolism (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Biochemistry (73 citations), Cardiology and Cardiovascular Medicine (162 citations) and Endocrinology, Diabetes and Metabolism (114 citations). Jacqueline Etienne has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Lydie Noé, Marc T. Hamilton, Alisha K. Holloway, Gérard Ailhaud, Christian Vannier, J. Polonovski, Ez‐Zoubir Amri, Robert H. Eckel, Francis Galibert and D. Brault. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Lipid Research and Gene.
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.