Agnès Sassolas

1.9k citations
44 papers · 1.3k · h-index 21

Impact in

Papers in

Agnès Sassolas

42 papers receiving 1.2k citations

Peers

Agnès Sassolas
Comparison fields: 5 of 76
  • Nephrology 146
  • Endocrinology, Diabetes and Metabolism 299
  • Cardiology and Cardiovascular Medicine 311
  • Surgery 315
  • Cell Biology 128
Replace Koji Kuboki with:
Koji Kuboki Japan
Hisazumi Araki Japan
Hitoshi Minakuchi Japan
Shawna A. Cooper United States
Isabelle Chénier Canada
Amy Ford United States
Bernd Hewing Germany
Malou Friederich‐Persson Sweden
Mario Maioli Italy
Wakako Kawarazaki Japan
Agnès Sassolas relative to Koji Kuboki Japan Koji Kuboki's profile →
Citations per field
00.5×3.4×
Koji Kuboki · 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-authors

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

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001224
2 1999111
3 201088
4 201085
5 200764
6 201163
7 200960
8 201152
9 201449
10 200335
11 201232
12 200931
13 200131
14 200430
15 200526
16 200825
17 198125
18 200824
19 200822
20 201122

About Agnès Sassolas

Agnès Sassolas is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Lipoproteins and Cardiovascular Health (9 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Lipids, and Metabolism (4 papers), Cholesterol and Lipid Metabolism (3 papers), Pancreatic function and diabetes (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Nephrology (146 citations), Endocrinology, Diabetes and Metabolism (299 citations), Cardiology and Cardiovascular Medicine (311 citations), Surgery (315 citations) and Cell Biology (128 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, É. Alamartine, F. Berthoux, Carole Deprele, Fabrice Bonnet, Alain Lachaux, Noël Peretti and Sophie Bernard. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism, Human Mutation and Journal of Pediatric Gastroenterology and Nutrition.

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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