Stéphane Dieterle

1000 total citations
8 papers, 245 citations indexed

About

Stéphane Dieterle is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Stéphane Dieterle has authored 8 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Stéphane Dieterle's work include Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Stéphane Dieterle is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Stéphane Dieterle collaborates with scholars based in France, Germany and United States. Stéphane Dieterle's co-authors include Luc Dupuis, Jérôme Sinniger, Jelena Scekic‐Zahirovic, Hajer El Oussini, Albert C. Ludolph, Sylvie Dirrig‐Grosch, Clotilde Lagier‐Tourenne, Pauline Vercruysse, Frédérique René and Gina Picchiarelli and has published in prestigious journals such as Brain, Annals of Neurology and Scientific Reports.

In The Last Decade

Stéphane Dieterle

8 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Dieterle France 7 183 114 91 39 36 8 245
Cinzia Tiloca Italy 9 283 1.5× 114 1.0× 96 1.1× 46 1.2× 68 1.9× 15 347
Jelena Scekic‐Zahirovic France 8 244 1.3× 149 1.3× 100 1.1× 50 1.3× 49 1.4× 9 301
Beatrice Stubendorff Germany 11 150 0.8× 79 0.7× 74 0.8× 28 0.7× 37 1.0× 20 249
Paola Barbagallo United Kingdom 4 139 0.8× 62 0.5× 128 1.4× 44 1.1× 29 0.8× 5 207
Elsa Fritz Chile 5 179 1.0× 91 0.8× 91 1.0× 55 1.4× 36 1.0× 6 254
Carola Torazza Italy 8 114 0.6× 64 0.6× 96 1.1× 54 1.4× 36 1.0× 16 226
Katherine E. Lewis Australia 9 177 1.0× 113 1.0× 140 1.5× 50 1.3× 49 1.4× 11 302
J Clark Australia 6 119 0.7× 70 0.6× 75 0.8× 46 1.2× 28 0.8× 7 188
Gina Picchiarelli France 5 172 0.9× 125 1.1× 142 1.6× 38 1.0× 18 0.5× 6 248
Klaus Jan Rath Germany 7 158 0.9× 85 0.7× 110 1.2× 46 1.2× 57 1.6× 9 285

Countries citing papers authored by Stéphane Dieterle

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Dieterle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Dieterle

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

All Works

8 of 8 papers shown
1.
Tzeplaeff, Laura, Jonathan Séguin, Stéphanie Le Gras, et al.. (2023). Mutant FUS induces chromatin reorganization in the hippocampus and alters memory processes. Progress in Neurobiology. 227. 102483–102483. 4 indexed citations
2.
Canet-Pons, Júlia, Nesli-Ece Şen, Melanie V. Halbach, et al.. (2021). Atxn2-CAG100-KnockIn mouse spinal cord shows progressive TDP43 pathology associated with cholesterol biosynthesis suppression. Neurobiology of Disease. 152. 105289–105289. 30 indexed citations
3.
McAlonis‐Downes, Melissa, Stéphane Dieterle, Salim Megat, et al.. (2021). Wild-type FUS corrects ALS-like disease induced by cytoplasmic mutant FUS through autoregulation. Molecular Neurodegeneration. 16(1). 61–61. 15 indexed citations
4.
Ayme‐Dietrich, Estelle, et al.. (2021). Evaluation of a 5-HT2B receptor agonist in a murine model of amyotrophic lateral sclerosis. Scientific Reports. 11(1). 23582–23582. 11 indexed citations
5.
Oussini, Hajer El, Jelena Scekic‐Zahirovic, Pauline Vercruysse, et al.. (2017). Degeneration of serotonin neurons triggers spasticity in amyotrophic lateral sclerosis. Annals of Neurology. 82(3). 444–456. 25 indexed citations
6.
Scekic‐Zahirovic, Jelena, Hajer El Oussini, Sina Mersmann, et al.. (2017). Motor neuron intrinsic and extrinsic mechanisms contribute to the pathogenesis of FUS-associated amyotrophic lateral sclerosis. Acta Neuropathologica. 133(6). 887–906. 77 indexed citations
7.
Vercruysse, Pauline, Jérôme Sinniger, Hajer El Oussini, et al.. (2016). Alterations in the hypothalamic melanocortin pathway in amyotrophic lateral sclerosis. Brain. 139(4). 1106–1122. 69 indexed citations
8.
Wiesner, Diana, Jérôme Sinniger, Alexandre Henriques, et al.. (2014). Low dietary protein content alleviates motor symptoms in mice with mutant dynactin/dynein-mediated neurodegeneration. Human Molecular Genetics. 24(8). 2228–2240. 14 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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