J Etienne
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Cell Biology 20
- Cellular Mechanics and Interactions 16
-
- Lipid metabolism and disorders 16
- Co-authors
- L. Noé (6 shared papers)Y. Stein (12 shared papers)Gérard Ailhaud (4 shared papers)Oliver Stein (12 shared papers)Lawrence Chan (2 shared papers)Tova Chajek‐Shaul (11 shared papers)G. Friedman (11 shared papers)Christian Vannier (3 shared papers)
- Journals
- Journal of Lipid Research (4 papers)Biochemical Journal (2 papers)Interface Focus (2 papers)Biochimie (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- FranceIsraelUnited Kingdom
In The Last Decade
J Etienne
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 132
- Biochemistry 229
- Endocrinology, Diabetes and Metabolism 445
- Cell Biology 392
- Cardiology and Cardiovascular Medicine 472
- Physiology 442
Countries citing papers authored by J Etienne
This map shows the geographic impact of J 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 J Etienne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Etienne more than expected).
Fields of papers citing papers by J Etienne
This network shows the impact of papers produced by J 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 J Etienne. The network helps show where J Etienne may publish in the future.
Co-authors
The 25 scholars most cited alongside J Etienne, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 210 | |
| 2 | 1989 | 197 | |
| 3 | Differentiation of human adipocyte precursors in a chemically defined serum-free medium. | 1987 | 114 |
| 4 | 1985 | 103 | |
| 5 | 1989 | 84 | |
| 6 | 2009 | 83 | |
| 7 | 2015 | 68 | |
| 8 | 1986 | 67 | |
| 9 | 1993 | 60 | |
| 10 | 1993 | 50 | |
| 11 | 1964 | 49 | |
| 12 | 1994 | 45 | |
| 13 | 1991 | 44 | |
| 14 | 1991 | 44 | |
| 15 | 1985 | 43 | |
| 16 | 1986 | 41 | |
| 17 | 1984 | 39 | |
| 18 | 2002 | 37 | |
| 19 | 2006 | 35 | |
| 20 | 1988 | 33 |
About J Etienne
J Etienne is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (16 papers), Cellular Mechanics and Interactions (16 papers), Diabetes and associated disorders (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Adipose Tissue and Metabolism (10 papers), 3D Printing in Biomedical Research (6 papers), Pancreatic function and diabetes (5 papers) and Microfluidic and Bio-sensing Technologies (5 papers). The work is most often cited by research in Biochemistry (229 citations), Endocrinology, Diabetes and Metabolism (445 citations), Cell Biology (392 citations), Cardiology and Cardiovascular Medicine (472 citations) and Physiology (442 citations). J Etienne has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include L. Noé, Y. Stein, Gérard Ailhaud, Oliver Stein, Lawrence Chan, Tova Chajek‐Shaul, G. Friedman, Christian Vannier, Raymond Négrel and Clay F. Semenkovich. Their work appears in journals such as Journal of Lipid Research, Biochemical Journal, Interface Focus, Biochimie and PLoS Computational Biology.
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.