Romain Fol

721 total citations
9 papers, 457 citations indexed

About

Romain Fol is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Romain Fol has authored 9 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Pharmacology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Romain Fol's work include Alzheimer's disease research and treatments (8 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Romain Fol is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Romain Fol collaborates with scholars based in France, Germany and Switzerland. Romain Fol's co-authors include Nathalie Cartier, Sandro Alves, Martin Körte, Jérôme Braudeau, Mickaël Audrain, Benoît Souchet, Sascha W. Weyer, Ulrike Müller, Kristin Michaelsen‐Preusse and David Klatzmann and has published in prestigious journals such as Journal of Neuroscience, Brain and Cerebral Cortex.

In The Last Decade

Romain Fol

9 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romain Fol France 8 287 163 133 106 79 9 457
Lisi Flores Aguilar United States 13 232 0.8× 153 0.9× 113 0.8× 103 1.0× 42 0.5× 19 512
Jérôme Braudeau France 10 328 1.1× 331 2.0× 171 1.3× 128 1.2× 86 1.1× 20 726
Georgia Frost United States 7 306 1.1× 163 1.0× 204 1.5× 93 0.9× 75 0.9× 8 510
Roger Lefort United States 10 318 1.1× 227 1.4× 105 0.8× 164 1.5× 28 0.4× 11 552
Michiko Sekiya Japan 12 274 1.0× 204 1.3× 97 0.7× 120 1.1× 35 0.4× 20 490
Qiuzhi Zhou China 13 205 0.7× 254 1.6× 108 0.8× 90 0.8× 34 0.4× 23 499
Maxine Nelson United States 9 278 1.0× 215 1.3× 149 1.1× 100 0.9× 34 0.4× 10 537
Steinunn Þórðardóttir Sweden 9 489 1.7× 189 1.2× 206 1.5× 133 1.3× 67 0.8× 17 631
Naoto Watamura Japan 12 234 0.8× 138 0.8× 102 0.8× 92 0.9× 42 0.5× 19 375
Evelyn Nwabuisi‐Heath United States 6 489 1.7× 196 1.2× 177 1.3× 167 1.6× 43 0.5× 6 630

Countries citing papers authored by Romain Fol

Since Specialization
Citations

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

Fields of papers citing papers by Romain Fol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Fol

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

All Works

9 of 9 papers shown
1.
Souchet, Benoît, Mickaël Audrain, Sandro Alves, et al.. (2022). Evaluation of Memantine in AAV-AD Rat: A Model of Late-Onset Alzheimer's Disease Predementia. The Journal of Prevention of Alzheimer s Disease. 9(2). 338–347. 7 indexed citations
2.
Souchet, Benoît, Mickaël Audrain, Julien Dairou, et al.. (2019). Inhibition of DYRK1A proteolysis modifies its kinase specificity and rescues Alzheimer phenotype in APP/PS1 mice. Acta Neuropathologica Communications. 7(1). 46–46. 35 indexed citations
3.
Alves, Sandro, Kristin Michaelsen‐Preusse, Mickaël Audrain, et al.. (2018). O5‐06‐04: AAV‐CYP46A1 BRAIN DELIVERY MITIGATES ALZHEIMER'S DISEASE: FROM MOUSE MODELS TO NON‐HUMAN PRIMATES. Alzheimer s & Dementia. 14(7S_Part_31). 1 indexed citations
4.
Audrain, Mickaël, Benoît Souchet, Sandro Alves, et al.. (2017). βAPP Processing Drives Gradual Tau Pathology in an Age-Dependent Amyloid Rat Model of Alzheimer’s Disease. Cerebral Cortex. 28(11). 3976–3993. 15 indexed citations
5.
Audrain, Mickaël, Romain Fol, P. Dutar, et al.. (2016). Alzheimer’s disease-like APP processing in wild-type mice identifies synaptic defects as initial steps of disease progression. Molecular Neurodegeneration. 11(1). 5–5. 34 indexed citations
6.
Alves, Sandro, Guillaume Churlaud, Mickaël Audrain, et al.. (2016). Interleukin-2 improves amyloid pathology, synaptic failure and memory in Alzheimer’s disease mice. Brain. 140(3). aww330–aww330. 143 indexed citations
7.
Alves, Sandro, Romain Fol, & Nathalie Cartier. (2016). Gene Therapy Strategies for Alzheimer's Disease: An Overview. Human Gene Therapy. 27(2). 100–107. 36 indexed citations
8.
Fol, Romain, Jérôme Braudeau, Susann Ludewig, et al.. (2015). Viral gene transfer of APPsα rescues synaptic failure in an Alzheimer’s disease mouse model. Acta Neuropathologica. 131(2). 247–266. 126 indexed citations
9.
Klevanski, Maja, Ulrike Herrmann, Sascha W. Weyer, et al.. (2015). The APP Intracellular Domain Is Required for Normal Synaptic Morphology, Synaptic Plasticity, and Hippocampus-Dependent Behavior. Journal of Neuroscience. 35(49). 16018–16033. 60 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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