Agnès Sassolas

1.9k citations
43 papers · 1.2k indexed · h-index 21

Impact in

Papers in

Agnès Sassolas

42 papers receiving 1.2k citations

Peers

Agnès Sassolas
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 412
  • Nephrology 162
  • Cardiology and Cardiovascular Medicine 412
  • Cancer Research 136
  • Cell Biology 147
Replace Shawna A. Cooper with:
Shawna A. Cooper United States
Isabelle Chénier Canada
Amy Ford United States
Sachiko Hattori Japan
M. Julia Brosnan United States
Rosa Di Paola Italy
Koji Kuboki Japan
Teruaki Yamauchi Japan
Hiroyuki Unoki‐Kubota Japan
Yuko Kako United States
Agnès Sassolas relative to Shawna A. Cooper United States Shawna A. Cooper's profile →
Citations per field
00.5×2.7×
Shawna A. Cooper · 1×
Citations per year

Countries citing papers authored by Agnès Sassolas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Agnès Sassolas Line = papers co-authored together Agnès Sassolas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201813
2 201613
3 201448
4 20126
5 201084
6 201088
7 200959
8 200916
9 20095
10 200931
11 200824
12 200764
13 200525
14 20045
15 20046
16 200334
17 200132
18 2001221
19 19984
20 199211

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.

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