François De Guio

1.4k total citations
36 papers, 836 citations indexed

About

François De Guio is a scholar working on Neurology, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, François De Guio has authored 36 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 12 papers in Rheumatology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in François De Guio's work include Cerebrovascular and genetic disorders (18 papers), Moyamoya disease diagnosis and treatment (11 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). François De Guio is often cited by papers focused on Cerebrovascular and genetic disorders (18 papers), Moyamoya disease diagnosis and treatment (11 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). François De Guio collaborates with scholars based in France, Germany and Austria. François De Guio's co-authors include Éric Jouvent, Hugues Chabriat, Marco Duering, Stefan Ropele, Jean‐François Mangin, Martin Dichgans, Édouard Duchesnay, A. Davenel, Alexandre Vignaud and Sonia Reyes and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

François De Guio

35 papers receiving 827 citations

Peers

Countries citing papers authored by François De Guio

Since Specialization

Citations

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

Fields of papers citing papers by François De Guio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François De Guio. 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 François De Guio. The network helps show where François De Guio may publish in the future.

Co-authorship network of co-authors of François De Guio

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a Cloud-based artificial intelligence platform 2025 ·Heart Rhythm ·François De Guio, Michiel Rienstra, (unknown), (unknown), (unknown), (unknown), (unknown), Manuel Marina‐Breysse	0
2	Prevalence and Risk Factors for Sarcopenia in Chronic Kidney Disease Patients Undergoing Dialysis: A Cross-Sectional Study 2021 ·Maria Sara de Lima Coutinho Mattera, Nicola Veronese, Filippo Aucella, (unknown), (unknown), François De Guio, Giuseppe Guglielmi	5
3	A new corrective model to evaluate TBS in obese post-menopausal women: a cross-sectional study 2019 ·Aging Clinical and Experimental Research ·Gloria Bonaccorsi, Francesco Pio Cafarelli, Carlo Cervellati, François De Guio, Pantaleo Greco, Melchiore Giganti, Giuseppe Guglielmi	21
4	Alteration of the Cortex Shape as a Proxy of White Matter Swelling in Severe Cerebral Small Vessel Disease 2019 ·Frontiers in Neurology ·François De Guio, David Germanaud, Julien Lefèvre, Clara Fischer, Jean‐François Mangin, Hugues Chabriat, Éric Jouvent	3
5	An Exploratory Study of the Texture Research Investigational Platform (TRIP) to Evaluate Bone Texture Score of Distal Femur DXA Scans – A TBS-Based Approach 2019 ·Journal of Clinical Densitometry ·(unknown), Diane Krueger, François De Guio, (unknown), Didier Hans, Paul A. Anderson, Neil Binkley	7
6	Different Types of White Matter Hyperintensities in CADASIL 2018 ·Frontiers in Neurology ·Édouard Duchesnay, (unknown), François De Guio, Mathieu Dubois, Jean‐François Mangin, Marco Duering, Stefan Ropele, Reinhold Schmidt, Martin Dichgans, Hugues Chabriat, Éric Jouvent	27
7	SPANOL (SPectral ANalysis of Lobes): A Spectral Clustering Framework for Individual and Group Parcellation of Cortical Surfaces in Lobes 2018 ·Frontiers in Neuroscience ·Julien Lefèvre, Antonietta Pepe, (unknown), François De Guio, Nadine Girard, Guillaume Auzias, David Germanaud	13
8	Why Are Only Some Subcortical Ischemic Lesions on Diffusion Magnetic Resonance Imaging Associated With Stroke Symptoms in Small Vessel Disease? 2018 ·Stroke ·(unknown), François De Guio, Hugues Chabriat, Éric Jouvent	6
9	Validation and Optimization of BIANCA for the Segmentation of Extensive White Matter Hyperintensities 2018 ·Neuroinformatics ·(unknown), Éric Jouvent, (unknown), Hugues Chabriat, François De Guio	22
10	Reaction Time Is Negatively Associated with Corpus Callosum Area in the Early Stages of CADASIL 2017 ·American Journal of Neuroradiology ·(unknown), François De Guio, Sonia Reyes, (unknown), Hugues Chabriat, Éric Jouvent	8
11	Determinants of iron accumulation in the normal aging brain 2016 ·Neurobiology of Aging ·Lukas Pirpamer, Edith Hofer, Benno Gesierich, François De Guio, Paul Freudenberger, Stephan Seiler, Marco Duering, Éric Jouvent, Édouard Duchesnay, Martin Dichgans, Stefan Ropele, Reinhold Schmidt	65
12	Predictors and Clinical Impact of Incident Lacunes in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy 2016 ·Stroke ·(unknown), François De Guio, Marco Duering, Éric Jouvent, Dominique Hervé, O Godin, Martin Dichgans, Hugues Chabriat	29
13	Prediction of 3-year clinical course in CADASIL 2016 ·Neurology ·Éric Jouvent, Édouard Duchesnay, (unknown), François De Guio, Jean‐François Mangin, Dominique Hervé, Marco Duering, Stefan Ropele, Reinhold Schmidt, Martin Dichgans, Hugues Chabriat	25
14	Are Developmental Trajectories of Cortical Folding Comparable Between Cross-sectional Datasets of Fetuses and Preterm Newborns? 2015 ·Cerebral Cortex ·Julien Lefèvre, David Germanaud, Jessica Dubois, François Rousseau, (unknown), Hugo Angleys, Jean‐François Mangin, Petra S. Hüppi, (unknown), François De Guio	69
15	In Vivo High-Resolution 7 Tesla MRI Shows Early and Diffuse Cortical Alterations in CADASIL 2014 ·PLoS ONE ·François De Guio, Sonia Reyes, Alexandre Vignaud, Marco Duering, Stefan Ropele, Édouard Duchesnay, Hugues Chabriat, Éric Jouvent	19
16	Decreased T1 Contrast between Gray Matter and Normal-Appearing White Matter in CADASIL 2013 ·American Journal of Neuroradiology ·François De Guio, Sonia Reyes, Marco Duering, Lukas Pirpamer, Hugues Chabriat, Éric Jouvent	15
17	Quantification of microporosity in fruit by MRI at various magnetic fields: comparison with X-ray microtomography 2010 ·Magnetic Resonance Imaging ·Maja Musse, François De Guio, (unknown), Mireille Cambert, (unknown), A. Davenel	40
18	Signal decay due to susceptibility-induced intravoxel dephasing on multiple air-filled cylinders: MRI simulations and experiments 2008 ·Magnetic Resonance Materials in Physics Biology and Medicine ·François De Guio, Hugues Benoit-Cattin, A. Davenel	15
19	Magnetic resonance imaging method based on magnetic susceptibility effects to estimate bubble size in alveolar products: application to bread dough during proving 2008 ·Magnetic Resonance Imaging ·François De Guio, Maja Musse, Hugues Benoit-Cattin, T. Lucas, A. Davenel	17
20	Quantitative study of signal decay due to magnetic susceptibility interfaces: MRI simulations and experiments 2007 ·Conference proceedings ·François De Guio, (unknown), A. Davenel	4

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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