Fatima Amor

651 total citations
10 papers, 474 citations indexed

About

Fatima Amor is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Fatima Amor has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Fatima Amor's work include Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Fatima Amor is often cited by papers focused on Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Fatima Amor collaborates with scholars based in France, United Kingdom and United States. Fatima Amor's co-authors include David Israeli, Isabelle Richard, Laurent Servais, Thomas Voit, Jérôme Poupiot, Mario Amendola, Laurence Jeanson-Leh, Giulia Pavani, Annarita Miccio and Fulvio Mavilio and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Fatima Amor

10 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fatima Amor France	9	430	90	75	60	51	10	474
Marlinde L. van den Boogaard Netherlands	11	290 0.7×	40 0.4×	58 0.8×	72 1.2×	40 0.8×	17	392
Erik A. Toso United States	12	437 1.0×	26 0.3×	48 0.6×	90 1.5×	40 0.8×	18	557
Andy Cheng Australia	4	419 1.0×	55 0.6×	139 1.9×	61 1.0×	27 0.5×	6	489
Giulia Pianigiani Italy	10	283 0.7×	47 0.5×	26 0.3×	46 0.8×	29 0.6×	17	347
Evelyne Gicquel France	11	379 0.9×	29 0.3×	134 1.8×	63 1.1×	35 0.7×	17	466
Kumaran Chandrasekharan United States	14	286 0.7×	32 0.4×	77 1.0×	26 0.4×	59 1.2×	17	488
Laëtitia Guével France	11	277 0.6×	31 0.3×	33 0.4×	65 1.1×	40 0.8×	18	344
Shiran Bar Israel	7	514 1.2×	43 0.5×	126 1.7×	30 0.5×	44 0.9×	9	583
Yongli Shan China	10	524 1.2×	35 0.4×	69 0.9×	53 0.9×	38 0.7×	27	625
Nesrin Sabha Canada	8	223 0.5×	27 0.3×	31 0.4×	35 0.6×	18 0.4×	12	303

Countries citing papers authored by Fatima Amor

Since Specialization

Citations

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

Fields of papers citing papers by Fatima Amor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatima Amor

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

All Works

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10 of 10 papers shown

Amor, Fatima, Guillaume Corre, Laurence Suel, et al.. (2021). Cholesterol metabolism is a potential therapeutic target in Duchenne muscular dystrophy. Journal of Cachexia Sarcopenia and Muscle. 12(3). 677–693. 36 indexed citations

Pavani, Giulia, Anna Fabiano, Fatima Amor, et al.. (2021). Correction of β-thalassemia by CRISPR/Cas9 editing of the α-globin locus in human hematopoietic stem cells. Blood Advances. 5(5). 1137–1153. 60 indexed citations

Massouridès, Emmanuelle, Nathalie Bourg, Laurence Suel, et al.. (2020). miR-379 links glucocorticoid treatment with mitochondrial response in Duchenne muscular dystrophy. Scientific Reports. 10(1). 9139–9139. 20 indexed citations

Israeli, David, Jérémie Cosette, Guillaume Corre, et al.. (2019). An AAV-SGCG Dose-Response Study in a γ-Sarcoglycanopathy Mouse Model in the Context of Mechanical Stress. Molecular Therapy — Methods & Clinical Development. 13. 494–502. 21 indexed citations

Lattanzi, Annalisa, Vasco Meneghini, Giulia Pavani, et al.. (2018). Optimization of CRISPR/Cas9 Delivery to Human Hematopoietic Stem and Progenitor Cells for Therapeutic Genomic Rearrangements. Molecular Therapy. 27(1). 137–150. 98 indexed citations

Israeli, David, Jérôme Poupiot, Fatima Amor, et al.. (2016). Circulating miRNAs are generic and versatile therapeutic monitoring biomarkers in muscular dystrophies. Scientific Reports. 6(1). 28097–28097. 33 indexed citations

Antoniani, Chiara, Vasco Meneghini, Annalisa Lattanzi, et al.. (2016). Induction of Fetal Hemoglobin Synthesis By Crispr/Cas9-Mediated Disruption of the β-Globin Locus Architecture. Blood. 128(22). 321–321. 1 indexed citations

Poupiot, Jérôme, Aleksandar Zocevic, Fatima Amor, et al.. (2015). Serum proteomic profiling reveals fragments of MYOM3 as potential biomarkers for monitoring the outcome of therapeutic interventions in muscular dystrophies. Human Molecular Genetics. 24(17). 4916–4932. 50 indexed citations

Jeanson-Leh, Laurence, Fatima Amor, Caroline Le Guiner, et al.. (2014). Serum Profiling Identifies Novel Muscle miRNA and Cardiomyopathy-Related miRNA Biomarkers in Golden Retriever Muscular Dystrophy Dogs and Duchenne Muscular Dystrophy Patients. American Journal Of Pathology. 184(11). 2885–2898. 66 indexed citations

10.

Vignier, Nicolas, Fatima Amor, Paul Fogel, et al.. (2013). Distinctive Serum miRNA Profile in Mouse Models of Striated Muscular Pathologies. PLoS ONE. 8(2). e55281–e55281. 89 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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