Isabelle Hainault
- Molecular Biology top 5%
- Epidemiology top 2%
- Surgery top 5%
- Physiology top 2%
- Cell Biology top 2%
- Co-authors
- Fabienne FoufellePascal FerréHélène L. KammounÉric HajduchChr̀istophe MagnanTatsuro KoikeHervé ChabanonSerge Luquet
- Topics
- Pancreatic function and diabetes (16 papers)Adipose Tissue and Metabolism (11 papers)Metabolism, Diabetes, and Cancer (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- FranceUnited StatesPoland
In The Last Decade
Isabelle Hainault
45 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.4k
- Epidemiology 1.2k
- Surgery 967
- Physiology 821
- Cell Biology 646
Countries citing papers authored by Isabelle Hainault
This map shows the geographic impact of Isabelle Hainault'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 Isabelle Hainault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Hainault more than expected).
Fields of papers citing papers by Isabelle Hainault
This network shows the impact of papers produced by Isabelle Hainault. 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 Isabelle Hainault. The network helps show where Isabelle Hainault may publish in the future.
Co-authorship network of co-authors of Isabelle Hainault
This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Hainault. A scholar is included among the top collaborators of Isabelle Hainault 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 Isabelle Hainault. Isabelle Hainault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 109 | |
| 2 | 69 | |
| 3 | 53 | |
| 4 | 18 | |
| 5 | 63 | |
| 6 | 57 | |
| 7 | 50 | |
| 8 | GRP78 expression inhibits insulin and ER stress–induced SREBP-1c activation and reduces hepatic steatosis in micebreakdown → | 602 |
| 9 | 28 | |
| 10 | 79 | |
| 11 | 2 | |
| 12 | 277 | |
| 13 | 28 | |
| 14 | 38 | |
| 15 | 19 | |
| 16 | 186 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | 70 | |
| 20 | 50 |
About Isabelle Hainault
Isabelle Hainault is a scholar working on Biochemistry, Surgery and Physiology, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Adipose Tissue and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (11 papers). The work is most often cited by research in Biochemistry (420 citations), Cell Biology (646 citations) and Endocrinology, Diabetes and Metabolism (631 citations). Isabelle Hainault has collaborated with scholars based in France, United States and Poland. Frequent co-authors include Fabienne Foufelle, Pascal Ferré, Hélène L. Kammoun, Éric Hajduch, Chr̀istophe Magnan, Tatsuro Koike, Hervé Chabanon, Serge Luquet, M Lavau and Fadila Benhamed. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.