Sarra Smati

2.6k total citations · 1 hit paper
21 papers, 1.0k citations indexed

About

Sarra Smati is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Sarra Smati has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Sarra Smati's work include Liver Disease Diagnosis and Treatment (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Lipid metabolism and disorders (4 papers). Sarra Smati is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Lipid metabolism and disorders (4 papers). Sarra Smati collaborates with scholars based in France, Switzerland and Niger. Sarra Smati's co-authors include Blandine Tramunt, Pierre Gourdy, Alexandra Montagner, Jean‐François Arnal, Françoise Lenfant, Bertrand Cariou, Cédric Le May, Matthieu Pichelin, Samy Hadjadj and Jérôme Boursier and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.

In The Last Decade

Sarra Smati

19 papers receiving 1.0k citations

Hit Papers

Sex differences in metabolic regulation and diabetes susc... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Sarra Smati
Sarra Smati
Citations per year, relative to Sarra Smati Sarra Smati (= 1×) peers Masayasu Yoneda

Countries citing papers authored by Sarra Smati

Since Specialization
Citations

This map shows the geographic impact of Sarra Smati'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 Sarra Smati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarra Smati more than expected).

Fields of papers citing papers by Sarra Smati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarra Smati. 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 Sarra Smati. The network helps show where Sarra Smati may publish in the future.

Co-authorship network of co-authors of Sarra Smati

This figure shows the co-authorship network connecting the top 25 collaborators of Sarra Smati. A scholar is included among the top collaborators of Sarra Smati 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 Sarra Smati. Sarra Smati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wargny, Matthieu, Mikaël Croyal, Cédric Le May, et al.. (2025). Lp(a) concentration and polymorphic size are not associated with new onset diabetes in individuals with prediabetes. Diabetes & Metabolism. 51(2). 101621–101621.
2.
Smati, Sarra, Matthieu Wargny, Jérôme Boursier, et al.. (2024). Prevalence of Liver Steatosis and Fibrosis in Adults With Primary Hypobetaliproteinemia: Results From the HYPOCHOL Study. Clinical Gastroenterology and Hepatology. 23(1). 166–168.e4.
3.
Wargny, Matthieu, Thomas Goronflot, Antoine Rimbert, et al.. (2024). Primary hypocholesterolemia is associated with an increased risk of hepatic complications in the general population. Journal of Hepatology. 80(6). 846–857. 3 indexed citations
4.
Smati, Sarra, Blandine Tramunt, Matthieu Wargny, et al.. (2022). COVID-19 and Diabetes Outcomes: Rationale for and Updates from the CORONADO Study. Current Diabetes Reports. 22(2). 53–63. 10 indexed citations
5.
Canivet, Clémence M., Sarra Smati, Adrien Lannes, et al.. (2021). Awareness of chronic liver diseases, a comparison between diabetologists and general practitioners. Clinics and Research in Hepatology and Gastroenterology. 46(4). 101848–101848. 10 indexed citations
6.
Cariou, Bertrand, Thomas Goronflot, Antoine Rimbert, et al.. (2020). Routine use of statins and increased COVID-19 related mortality in inpatients with type 2 diabetes: Results from the CORONADO study. Diabetes & Metabolism. 47(2). 101202–101202. 60 indexed citations
7.
Cariou, Bertrand, Thomas Goronflot, Antoine Rimbert, et al.. (2020). Routine use of statins and increased mortality related to COVID-19 in inpatients with type 2 diabetes: Results from the CORONADO study.. Diabetes & Metabolism. 101202. 10 indexed citations
8.
Rimbert, Antoine, Sarra Smati, Wieneke Dijk, Cédric Le May, & Bertrand Cariou. (2020). Genetic Inhibition ofPCSK9and Liver Function. JAMA Cardiology. 6(3). 353–353. 22 indexed citations
9.
Lasserre, Frédèric, Anne Fougerat, Lorraine Smith, et al.. (2019). Gene Expression Profiling Reveals that PXR Activation Inhibits Hepatic PPARα Activity and Decreases FGF21 Secretion in Male C57Bl6/J Mice. International Journal of Molecular Sciences. 20(15). 3767–3767. 14 indexed citations
10.
Smati, Sarra, Marion Régnier, Arnaud Polizzi, et al.. (2019). Regulation of hepatokine gene expression in response to fasting and feeding: Influence of PPAR-α and insulin-dependent signalling in hepatocytes. Diabetes & Metabolism. 46(2). 129–136. 37 indexed citations
11.
Tramunt, Blandine, Sarra Smati, Françoise Lenfant, et al.. (2019). Sex differences in metabolic regulation and diabetes susceptibility. Diabetologia. 63(3). 453–461. 578 indexed citations breakdown →
12.
Wargny, Matthieu, Sarra Smati, Matthieu Pichelin, et al.. (2019). Fatty liver index is a strong predictor of changes in glycemic status in people with prediabetes: The IT-DIAB study. PLoS ONE. 14(8). e0221524–e0221524. 31 indexed citations
13.
Guillaume, Maéva, Élodie Riant, Aurélie Fabre, et al.. (2019). Selective Liver Estrogen Receptor α Modulation Prevents Steatosis, Diabetes, and Obesity Through the Anorectic Growth Differentiation Factor 15 Hepatokine in Mice. Hepatology Communications. 3(7). 908–924. 33 indexed citations
14.
Wargny, Matthieu, Pierre‐Henri Ducluzeau, Jean‐Michel Petit, et al.. (2018). Circulating PCSK9 levels are not associated with the severity of hepatic steatosis and NASH in a high-risk population. Atherosclerosis. 278. 82–90. 32 indexed citations
15.
Smati, Sarra, P. Buffier, Benjamin Bouillet, et al.. (2018). Expert opinion on immunotherapy induced diabetes. Annales d Endocrinologie. 79(5). 545–549. 13 indexed citations
16.
Buffier, P., Benjamin Bouillet, Sarra Smati, et al.. (2018). Expert opinion on the metabolic complications of new anticancer therapies: Tyrosine kinase inhibitors. Annales d Endocrinologie. 79(5). 574–582. 22 indexed citations
17.
Bouillet, Benjamin, P. Buffier, Sarra Smati, et al.. (2018). Expert opinion on the metabolic complications of mTOR inhibitors. Annales d Endocrinologie. 79(5). 583–590. 9 indexed citations
18.
Régnier, Marion, Arnaud Polizzi, Yannick Lippi, et al.. (2017). Insights into the role of hepatocyte PPARα activity in response to fasting. Molecular and Cellular Endocrinology. 471. 75–88. 44 indexed citations
19.
Buffet, Alexandre, Sarra Smati, L Mansuy, et al.. (2013). Mosaicism inHIF2A-Related Polycythemia-Paraganglioma Syndrome. The Journal of Clinical Endocrinology & Metabolism. 99(2). E369–E373. 65 indexed citations
20.
Mansour, Asem, et al.. (2009). Neurocytome central : à propos d’un cas. Neurochirurgie. 55(6). 581–584. 1 indexed citations

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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