Anne-Laure Sberna

13 total papers · 613 total citations
8 papers, 484 citations indexed

About

Anne-Laure Sberna is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Anne-Laure Sberna has authored 8 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in Anne-Laure Sberna's work include Cholesterol and Lipid Metabolism (3 papers), Diet, Metabolism, and Disease (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). Anne-Laure Sberna is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Diet, Metabolism, and Disease (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). Anne-Laure Sberna collaborates with scholars based in France, United States and Morocco. Anne-Laure Sberna's co-authors include Benjamin Bouillet, Jean‐Michel Petit, Bruno Vergès, Alexia Rouland, Laurence Duvillard, Thomas Mouillot, M.-C. Brindisi, Patrick Hillon, Damien Denimal and Romaric Loffroy and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Anne-Laure Sberna

7 papers receiving 479 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anne-Laure Sberna	257	192	116	107	100	8	484
Johannie du Plessis	412 1.6×	119 0.6×	102 0.9×	96 0.9×	185 1.9×	8	541
R Casamitjana	245 1.0×	97 0.5×	116 1.0×	49 0.5×	112 1.1×	12	431
Hisao Ezaki	263 1.0×	76 0.4×	106 0.9×	131 1.2×	139 1.4×	12	432
Simona Imbriani	166 0.6×	186 1.0×	92 0.8×	140 1.3×	92 0.9×	13	462
Michael Dudek	293 1.1×	90 0.5×	48 0.4×	176 1.6×	80 0.8×	11	482
Ben Schroyen	211 0.8×	101 0.5×	75 0.6×	144 1.3×	98 1.0×	9	450
Ryan S. Huss	356 1.4×	152 0.8×	80 0.7×	125 1.2×	158 1.6×	15	506
Jacqueline Williams	377 1.5×	143 0.7×	64 0.6×	143 1.3×	112 1.1×	8	476
Catriona McNeil	189 0.7×	137 0.7×	80 0.7×	125 1.2×	29 0.3×	13	474
Urszula Osinska Warncke	309 1.2×	143 0.7×	48 0.4×	141 1.3×	86 0.9×	11	519

Countries citing papers authored by Anne-Laure Sberna

Since Specialization

Citations

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

Fields of papers citing papers by Anne-Laure Sberna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Laure Sberna. 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 Anne-Laure Sberna. The network helps show where Anne-Laure Sberna may publish in the future.

Co-authorship network of co-authors of Anne-Laure Sberna

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

All Works

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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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