Mélanie Fabre

38 total papers · 547 total citations
17 papers, 407 citations indexed

About

Mélanie Fabre is a scholar working on Molecular Biology, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Mélanie Fabre has authored 17 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cognitive Neuroscience and 4 papers in Surgery. Recurrent topics in Mélanie Fabre's work include Pancreatic function and diabetes (4 papers), Renal and related cancers (3 papers) and Urological Disorders and Treatments (3 papers). Mélanie Fabre is often cited by papers focused on Pancreatic function and diabetes (4 papers), Renal and related cancers (3 papers) and Urological Disorders and Treatments (3 papers). Mélanie Fabre collaborates with scholars based in France, United States and Spain. Mélanie Fabre's co-authors include Silvia Cereghini, P Buser, Cécile Haumaître, Clarisse Baumann, Sarah Cormier, Anne‐Lise Delezoide, Ludmilla Lokmane, Claire Heliot, Pilar García‐Villalba and Céline Lesaulnier and has published in prestigious journals such as Nature Communications, Development and Human Molecular Genetics.

In The Last Decade

Mélanie Fabre

15 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Mélanie Fabre 197 140 116 83 55 17 407
E Cacciari 188 1.0× 72 0.5× 130 1.1× 70 0.8× 86 1.6× 30 484
Xiao-Liang Feng 95 0.5× 69 0.5× 61 0.5× 78 0.9× 30 0.5× 17 476
Yoko Sugie 132 0.7× 46 0.3× 117 1.0× 109 1.3× 34 0.6× 24 417
Sandra Schipper 118 0.6× 83 0.6× 18 0.2× 39 0.5× 25 0.5× 25 404
Kiyokuni Miura 133 0.7× 78 0.6× 141 1.2× 27 0.3× 77 1.4× 29 443
Nathan Osbun 162 0.8× 56 0.4× 37 0.3× 37 0.4× 49 0.9× 13 450
M Medina 161 0.8× 89 0.6× 112 1.0× 24 0.3× 17 0.3× 32 464
Frédéric Torès 259 1.3× 35 0.3× 208 1.8× 109 1.3× 24 0.4× 22 477
Marco Baccarin 274 1.4× 97 0.7× 120 1.0× 37 0.4× 41 0.7× 25 479
Liron Abuhatzira 280 1.4× 58 0.4× 230 2.0× 113 1.4× 30 0.5× 13 480

Countries citing papers authored by Mélanie Fabre

Since Specialization
Citations

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

Fields of papers citing papers by Mélanie Fabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélanie Fabre

This figure shows the co-authorship network connecting the top 25 collaborators of Mélanie Fabre. A scholar is included among the top collaborators of Mélanie Fabre 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 Mélanie Fabre. Mélanie Fabre 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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