Agnès Sassolas
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Growth Hormone and Insulin-like Growth Factors
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 11
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- Lipid metabolism and disorders 15
- Co-authors
- Philippe MoulinFrançois BerthézèneMathilde Di FilippoCarole DepreleF. BerthouxÉ. AlamartineFabrice BonnetAlain Lachaux
- Journals
- Atherosclerosis (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Journal of Lipid Research (3 papers)Journal of Pediatric Gastroenterology and Nutrition (2 papers)Molecular Genetics and Metabolism (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Agnès Sassolas
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 412
- Nephrology 162
- Cardiology and Cardiovascular Medicine 412
- Cancer Research 136
- Cell Biology 147
Countries citing papers authored by Agnès Sassolas
This map shows the geographic impact of Agnès Sassolas'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 Agnès Sassolas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnès Sassolas more than expected).
Fields of papers citing papers by Agnès Sassolas
This network shows the impact of papers produced by Agnès Sassolas. 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 Agnès Sassolas. The network helps show where Agnès Sassolas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Agnès Sassolas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 13 | |
| 2 | 2016 | 13 | |
| 3 | 2014 | 48 | |
| 4 | 2012 | 6 | |
| 5 | 2010 | 84 | |
| 6 | 2010 | 88 | |
| 7 | 2009 | 59 | |
| 8 | 2009 | 16 | |
| 9 | 2009 | 5 | |
| 10 | 2009 | 31 | |
| 11 | 2008 | 24 | |
| 12 | 2007 | 64 | |
| 13 | 2005 | 25 | |
| 14 | 2004 | 5 | |
| 15 | 2004 | 6 | |
| 16 | 2003 | 34 | |
| 17 | 2001 | 32 | |
| 18 | 2001 | 221 | |
| 19 | 1998 | 4 | |
| 20 | 1992 | 11 |
About Agnès Sassolas
Agnès Sassolas is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Clinical Biochemistry, Surgery and Cell Biology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (15 papers), Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Caveolin-1 and cellular processes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Lipids, and Metabolism (4 papers), Histiocytic Disorders and Treatments (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (412 citations), Nephrology (162 citations), Cardiology and Cardiovascular Medicine (412 citations), Cancer Research (136 citations) and Cell Biology (147 citations). Agnès Sassolas has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Philippe Moulin, François Berthézène, Mathilde Di Filippo, Carole Deprele, F. Berthoux, É. Alamartine, Fabrice Bonnet, Alain Lachaux, Noël Peretti and Sophie Bernard. Their work appears in journals such as Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism, Journal of Lipid Research, Journal of Pediatric Gastroenterology and Nutrition and Molecular Genetics and Metabolism.
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.