A. Bénézit

445 total citations
8 papers, 130 citations indexed

About

A. Bénézit is a scholar working on Genetics, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, A. Bénézit has authored 8 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Surgery and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in A. Bénézit's work include Neurogenetic and Muscular Disorders Research (4 papers), Neonatal and fetal brain pathology (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). A. Bénézit is often cited by papers focused on Neurogenetic and Muscular Disorders Research (4 papers), Neonatal and fetal brain pathology (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). A. Bénézit collaborates with scholars based in France and Sweden. A. Bénézit's co-authors include Ghislaine Dehaene‐Lambertz, David Germanaud, Karla Monzalvo, Jessica Dubois, Pamela Guevara, Cyril Poupon, Marie‐Laure Moutard, Delphine Duclap, Jean‐François Mangin and Lucie Hertz‐Pannier and has published in prestigious journals such as Cortex, Ultrasound in Obstetrics and Gynecology and Journal of Pediatric Orthopaedics.

In The Last Decade

A. Bénézit

8 papers receiving 128 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Bénézit France	5	65	37	36	25	20	8	130
Christopher J. A. Cowie United Kingdom	9	21 0.3×	26 0.7×	32 0.9×	59 2.4×	15 0.8×	15	176
Jean Michel Pedespan France	6	41 0.6×	13 0.4×	21 0.6×	8 0.3×	24 1.2×	13	137
Lucy Kinton United Kingdom	7	63 1.0×	18 0.5×	9 0.3×	23 0.9×	26 1.3×	8	195
Georg Dorfmüller France	8	133 2.0×	13 0.4×	33 0.9×	11 0.4×	22 1.1×	16	215
Kentaro Aso Japan	4	26 0.4×	7 0.2×	22 0.6×	9 0.4×	9 0.5×	8	79
Michele Naddeo Italy	6	70 1.1×	13 0.4×	55 1.5×	10 0.4×	14 0.7×	9	224
L V Shishkina Russia	6	8 0.1×	43 1.2×	31 0.9×	15 0.6×	5 0.3×	27	130
Yuko Shimizu‐Motohashi Japan	6	16 0.2×	13 0.4×	21 0.6×	5 0.2×	45 2.3×	30	121
J. Cuisset France	7	20 0.3×	52 1.4×	24 0.7×	3 0.1×	81 4.0×	21	157
Sasha Živković United States	6	9 0.1×	17 0.5×	15 0.4×	12 0.5×	46 2.3×	9	113

Countries citing papers authored by A. Bénézit

Since Specialization

Citations

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

Fields of papers citing papers by A. Bénézit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Bénézit

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Chavas, Joël, A. Bénézit, Marie‐Laure Moutard, et al.. (2024). Identification of rare cortical folding patterns using unsupervised deep learning. Imaging Neuroscience. 2. 3 indexed citations

2.

Bénézit, A., Aleksandra Nadaj‐Pakleza, Béatrice Lannes, et al.. (2024). The FLNC Ala1186Val Variant Linked to Cytoplasmic Body Myopathy and Cardiomyopathy Causes Protein Instability. Biomedicines. 12(2). 322–322. 3 indexed citations

3.

Bénézit, A., et al.. (2023). Improve Pose Estimation Model Performance with Unlabeled Data. SPIRE - Sciences Po Institutional REpository. 1316–1321. 1 indexed citations

4.

Mbieleu, Blaise, A. Bénézit, Jean Bergounioux, et al.. (2021). Minimally Invasive Fusionless Surgery for Scoliosis in Spinal Muscular Atrophy: Long-term Follow-up Results in a Series of 59 Patients. Journal of Pediatric Orthopaedics. 41(9). 549–558. 9 indexed citations

5.

Amaddeo, Alessandro, Sonia Khirani, Christine Barnérias, et al.. (2020). Assessment of respiratory muscles and motor function in children with SMA treated by nusinersen. Pediatric Pulmonology. 56(1). 299–306. 30 indexed citations

6.

Malfatti, Edoardo, Christine Barnérias, Carola Hedberg‐Oldfors, et al.. (2016). A novel neuromuscular form of glycogen storage disease type IV with arthrogryposis, spinal stiffness and rare polyglucosan bodies in muscle. Neuromuscular Disorders. 26(10). 681–687. 8 indexed citations

7.

Bénézit, A., Lucie Hertz‐Pannier, Ghislaine Dehaene‐Lambertz, et al.. (2014). Organising white matter in a brain without corpus callosum fibres. Cortex. 63. 155–171. 39 indexed citations

8.

Massoud, Mona, Cathérine Garel, N. Varene, et al.. (2013). Prenatal unilateral cerebellar hypoplasia in a series of 26 cases: significance and implications for prenatal diagnosis. Ultrasound in Obstetrics and Gynecology. 44(4). 447–454. 37 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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