Benoît Rucheton

615 total citations
19 papers, 233 citations indexed

About

Benoît Rucheton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Benoît Rucheton has authored 19 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Benoît Rucheton's work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers) and Epilepsy research and treatment (3 papers). Benoît Rucheton is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers) and Epilepsy research and treatment (3 papers). Benoît Rucheton collaborates with scholars based in France, Tunisia and Spain. Benoît Rucheton's co-authors include Virginie Lambrecq, Aurélie Hanin, Vincent Navarro, Sophie Demeret, Jérôme Alexandre Denis, Dominique Bonnefont‐Rousselot, Françoise Imbert‐Bismut, Aurélie Bedel, Sandrine Dabernat and François Béliveau and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Epilepsia and Neurobiology of Aging.

In The Last Decade

Benoît Rucheton

16 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Rucheton France 7 117 60 42 36 30 19 233
Chris Rittey United Kingdom 9 76 0.6× 39 0.7× 38 0.9× 37 1.0× 16 0.5× 13 186
Esther Ganelin‐Cohen Israel 10 106 0.9× 31 0.5× 38 0.9× 16 0.4× 71 2.4× 26 274
Satish Agadi United States 8 44 0.4× 40 0.7× 23 0.5× 28 0.8× 13 0.4× 15 160
Anaita Hegde India 10 58 0.5× 26 0.4× 31 0.7× 23 0.6× 84 2.8× 32 240
Bouchra Ouled Amar Bencheikh Canada 9 105 0.9× 22 0.4× 65 1.5× 52 1.4× 39 1.3× 13 307
Özdem Ertürk Çetin Türkiye 8 51 0.4× 79 1.3× 37 0.9× 49 1.4× 50 1.7× 29 262
Hidee Arai Japan 8 159 1.4× 36 0.6× 55 1.3× 16 0.4× 32 1.1× 21 259
Bennett Lavenstein United States 8 53 0.5× 64 1.1× 50 1.2× 19 0.5× 79 2.6× 21 267
Noboru Fueki Japan 10 207 1.8× 44 0.7× 31 0.7× 51 1.4× 20 0.7× 24 356
Hervé Testard France 7 186 1.6× 24 0.4× 96 2.3× 20 0.6× 24 0.8× 9 289

Countries citing papers authored by Benoît Rucheton

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Rucheton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Rucheton

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

All Works

19 of 19 papers shown
1.
Beauvieux, Marie-Christine, et al.. (2024). Exploring strategies to rapidly identify false positives in high-sensitivity cardiac troponin I assay: A prospective study. Clinica Chimica Acta. 565. 119996–119996. 3 indexed citations
2.
3.
Hanin, Aurélie, Jérôme Alexandre Denis, Valério Frazzini, et al.. (2022). Neuron Specific Enolase, S100-beta protein and progranulin as diagnostic biomarkers of status epilepticus. Journal of Neurology. 269(7). 3752–3760. 30 indexed citations
4.
Fernández‐Eulate, Gorka, Jean‐François Benoist, Foudil Lamari, et al.. (2022). Diagnostic approach in adult-onset neurometabolic diseases. Journal of Neurology Neurosurgery & Psychiatry. 93(4). 413–421. 13 indexed citations
5.
Hanin, Aurélie, Sophie Demeret, Virginie Lambrecq, et al.. (2022). Clinico-biological markers for the prognosis of status epilepticus in adults. Journal of Neurology. 269(11). 5868–5882. 12 indexed citations
6.
Delaby, Constance, Olivier Bousiges, Damien Bouvier, et al.. (2022). Neurofilaments contribution in clinic: state of the art. Frontiers in Aging Neuroscience. 14. 1034684–1034684. 24 indexed citations
7.
Bigot‐Corbel, Edith, Cécile Delorme, Sylvain Lehmann, et al.. (2021). SARS-CoV-2 and neurological disorders: the revelance of biomarkers?. Annales de biologie clinique. 79(1). 7–16.
8.
Rucheton, Benoît, Claire Ewenczyk, Pauline Gaignard, et al.. (2021). Adult Cerebellar Ataxia, Axonal Neuropathy, and Sensory Impairments Caused by Biallelic SCO2 Variants. Neurology Genetics. 7(6). e630–e630. 1 indexed citations
9.
Rucheton, Benoît, Claude Jardel, Maria del Mar Amador, et al.. (2020). Homoplasmic deleterious MT-ATP6/8 mutations in adult patients. Mitochondrion. 55. 64–77. 6 indexed citations
10.
Auré, Karine, G. Fayet, Benoît Rucheton, et al.. (2020). Homoplasmic mitochondrial tRNA Pro mutation causing exercise-induced muscle swelling and fatigue. Neurology Genetics. 6(4). e480–e480. 3 indexed citations
11.
Michaud, Maud, Tanya Stojkovic, Thierry Maisonobe, et al.. (2020). Ganglionopathies Associated with MERRF Syndrome: An Original Report. Journal of Neuromuscular Diseases. 7(4). 419–423. 4 indexed citations
12.
Angel, Ariadna González‐del, Francisca Fernández‐Valverde, Norma B. Romero, et al.. (2019). Novel Phenotypes and Cardiac Involvement Associated With DNA2 Genetic Variants. Frontiers in Neurology. 10. 1049–1049. 5 indexed citations
13.
Saracino, Dario, Leila Sellami, Fabienne Clot, et al.. (2019). The missense p.Trp7Arg mutation in GRN gene leads to progranulin haploinsufficiency. Neurobiology of Aging. 85. 154.e9–154.e11. 4 indexed citations
14.
Rucheton, Benoît, et al.. (2019). LC-MS/MS measurements of urinary guanidinoacetic acid and creatine: Method optimization by deleting derivatization step. Clinica Chimica Acta. 493. 148–155. 5 indexed citations
15.
Hanin, Aurélie, Virginie Lambrecq, Jérôme Alexandre Denis, et al.. (2019). Cerebrospinal fluid and blood biomarkers of status epilepticus. Epilepsia. 61(1). 6–18. 37 indexed citations
16.
Boutin, Julian, et al.. (2019). Diagnosis of subarachnoid haemorrhage using heam pigment detection in cerebrospinal fluid: Focus on urine test strips. Clinica Chimica Acta. 493. S612–S613. 1 indexed citations
17.
Wolff, Fleur, Hubert de Verneuil, Benoît Rucheton, et al.. (2018). Hepcidin: immunoanalytic characteristics. Annales de biologie clinique. 76(6). 705–715. 1 indexed citations
18.
Goudenège, David, Céline Bris, Valérie Desquiret‐Dumas, et al.. (2018). eKLIPse: a sensitive tool for the detection and quantification of mitochondrial DNA deletions from next-generation sequencing data. Genetics in Medicine. 21(6). 1407–1416. 32 indexed citations
19.
Bedel, Aurélie, François Béliveau, Isabelle Lamrissi‐Garcia, et al.. (2016). Preventing Pluripotent Cell Teratoma in Regenerative Medicine Applied to Hematology Disorders. Stem Cells Translational Medicine. 6(2). 382–393. 50 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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