Daisy Rinaldi

1.8k total citations
23 papers, 602 citations indexed

About

Daisy Rinaldi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Daisy Rinaldi has authored 23 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Daisy Rinaldi's work include Genetic Neurodegenerative Diseases (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Mitochondrial Function and Pathology (6 papers). Daisy Rinaldi is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Mitochondrial Function and Pathology (6 papers). Daisy Rinaldi collaborates with scholars based in France, United States and United Kingdom. Daisy Rinaldi's co-authors include Fanny Mochel, Romain Valabrègue, Alexandra Dürr, Isaac Adanyeguh, Pierre-Gilles Henry, Alexis Brice, Olivier Colliot, Dario Saracino, Agnès Camuzat and Pierre‐Gilles Henry and has published in prestigious journals such as Neurology, Annals of Neurology and Brain Research.

In The Last Decade

Daisy Rinaldi

23 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisy Rinaldi France 13 294 273 272 116 74 23 602
Yi‐Min Sun China 18 225 0.8× 246 0.9× 477 1.8× 307 2.6× 17 0.2× 73 919
Wolfgang Nachbauer Austria 18 813 2.8× 784 2.9× 396 1.5× 70 0.6× 42 0.6× 45 1.1k
Kelly K. Ball United States 12 385 1.3× 291 1.1× 97 0.4× 150 1.3× 51 0.7× 23 709
Akito Kume Japan 12 733 2.5× 694 2.5× 350 1.3× 70 0.6× 33 0.4× 29 1.1k
Thomas Schwarzlmüller Norway 9 92 0.3× 168 0.6× 145 0.5× 102 0.9× 53 0.7× 15 547
Christine R. Swanson United States 11 186 0.6× 281 1.0× 239 0.9× 150 1.3× 15 0.2× 12 601
Tommaso Nuzzo Italy 18 207 0.7× 369 1.4× 71 0.3× 148 1.3× 144 1.9× 36 688
Kendall R. Walker Australia 11 134 0.5× 385 1.4× 247 0.9× 113 1.0× 12 0.2× 14 774
Cécilia Marelli France 18 327 1.1× 378 1.4× 221 0.8× 85 0.7× 74 1.0× 35 682
Pascale Hince Canada 11 169 0.6× 291 1.1× 277 1.0× 48 0.4× 18 0.2× 14 630

Countries citing papers authored by Daisy Rinaldi

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisy Rinaldi

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

All Works

20 of 20 papers shown
1.
Russell, Lucy L., Caroline Greaves, Martina Bocchetta, et al.. (2023). Using GENFI participant engagement to inform observational research and clinical trials. Alzheimer s & Dementia. 19(S19). 2 indexed citations
2.
Becker, E., Dario Saracino, Daisy Rinaldi, et al.. (2022). Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders. IEEE Journal of Biomedical and Health Informatics. 26(12). 6024–6035. 10 indexed citations
3.
Latouche, Morwena, Dario Saracino, Daisy Rinaldi, et al.. (2022). MicroRNAsignatures in genetic frontotemporal dementia and amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 9(11). 1778–1791. 9 indexed citations
4.
Saracino, Dario, Leila Sellami, Mélanie Pélégrini‐Issac, et al.. (2022). Brain Metabolic Changes in the Presymptomatic Stage of Frontotemporal Dementia Associated with GRN Mutations (S2.006). Neurology. 98(18_supplement). 1 indexed citations
5.
Becker, E., Dario Saracino, Vincent Anquetil, et al.. (2022). A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases. HAL (Le Centre pour la Communication Scientifique Directe). 47–47. 2 indexed citations
6.
Anquetil, Vincent, Dario Saracino, Daisy Rinaldi, et al.. (2020). Plasma microRNA signature in presymptomatic and symptomatic subjects with C9orf72-associated frontotemporal dementia and amyotrophic lateral sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 92(5). 485–493. 32 indexed citations
7.
Querin, Giorgia, Peter Bede, Mohamed Mounir El Mendili, et al.. (2019). Presymptomatic spinal cord pathology in c9orf72 mutation carriers: A longitudinal neuroimaging study. Annals of Neurology. 86(2). 158–167. 65 indexed citations
8.
Saracino, Dario, Fabienne Clot, Agnès Camuzat, et al.. (2018). Novel VCP mutations expand the mutational spectrum of frontotemporal dementia. Neurobiology of Aging. 72. 187.e11–187.e14. 21 indexed citations
9.
Wen, Junhao, Hui Zhang, Daniel C. Alexander, et al.. (2018). Neurite density is reduced in the presymptomatic phase ofC9orf72disease. Journal of Neurology Neurosurgery & Psychiatry. 90(4). 387–394. 51 indexed citations
10.
Adanyeguh, Isaac, Vincent Perlbarg, Pierre-Gilles Henry, et al.. (2018). Autosomal dominant cerebellar ataxias: Imaging biomarkers with high effect sizes. NeuroImage Clinical. 19. 858–867. 64 indexed citations
11.
Adanyeguh, Isaac, Marie‐Lorraine Monin, Daisy Rinaldi, et al.. (2018). Expanded neurochemical profile in the early stage of Huntington disease using proton magnetic resonance spectroscopy. NMR in Biomedicine. 31(3). 9 indexed citations
12.
Barbier, Mathieu, Agnès Camuzat, Marion Houot, et al.. (2017). Factors influencing the age at onset in familial frontotemporal lobar dementia. Neurology Genetics. 3(6). e203–e203. 5 indexed citations
13.
Mochel, Fanny, Élodie Hainque, Domitille Gras, et al.. (2015). Triheptanoin dramatically reduces paroxysmal motor disorder in patients with GLUT1 deficiency. Journal of Neurology Neurosurgery & Psychiatry. 87(5). 550–553. 72 indexed citations
14.
Adanyeguh, Isaac, Daisy Rinaldi, Pierre-Gilles Henry, et al.. (2015). Triheptanoin improves brain energy metabolism in patients with Huntington disease. Neurology. 84(5). 490–495. 76 indexed citations
15.
Adanyeguh, Isaac, Daisy Rinaldi, Pierre‐Gilles Henry, et al.. (2014). N04 Anaplerotic Therapy Using Triheptanoin Improves Brain Energy Metabolism In Patients With Huntington Disease. Journal of Neurology Neurosurgery & Psychiatry. 85(Suppl 1). A103–A103. 3 indexed citations
16.
Gigout, Sylvain, Jacques Louvel, Daisy Rinaldi, Benoı̂t Martin, & R. Pumain. (2013). Thalamocortical relationships and network synchronization in a new genetic model “in mirror” for absence epilepsy. Brain Research. 1525. 39–52. 15 indexed citations
17.
Mochel, Fanny, Dinesh K. Deelchand, Daisy Rinaldi, et al.. (2012). Abnormal response to cortical activation in early stages of Huntington disease. Movement Disorders. 27(7). 907–910. 39 indexed citations
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20.
Suaudeau, Charles, Daisy Rinaldi, Eve M. Lepicard, et al.. (2000). Divergent levels of anxiety in mice selected for differences in sensitivity to a convulsant agent. Physiology & Behavior. 71(5). 517–523. 24 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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