Gérard Raffard

1.7k citations
35 papers · 1.4k · h-index 20

Impact in

Papers in

Gérard Raffard

35 papers receiving 1.4k citations

Peers

Gérard Raffard
Comparison fields: 5 of 115
  • Neurology 273
  • Developmental Neuroscience 109
  • Biological Psychiatry 33
  • Cellular and Molecular Neuroscience 180
  • Pathology and Forensic Medicine 140
Replace Aryan M. Namboodiri with:
Aryan M. Namboodiri United States
Ming Zou China
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André Sauter Switzerland
Delio Mercanti Italy
Pavle R. Anđjus Serbia
Robert N. Nishimura United States
Paul Steels Belgium
Ming-Rong Zhang Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gérard Raffard

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Raffard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gérard Raffard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gérard Raffard Line = papers co-authored together Gérard Raffard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010313
2 1995133
3 200090
4 200983
5 202077
6 199162
7 200861
8 201650
9 200749
10 199346
11 201842
12 201940
13 201736
14 201332
15 200931
16 201328
17 202127
18 201027
19 200622
20 199121

About Gérard Raffard

Gérard Raffard is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Physiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Neonatal and fetal brain pathology (4 papers), Mitochondrial Function and Pathology (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Atomic and Subatomic Physics Research (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Neurology (273 citations), Developmental Neuroscience (109 citations), Biological Psychiatry (33 citations), Cellular and Molecular Neuroscience (180 citations) and Pathology and Forensic Medicine (140 citations). Gérard Raffard has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Jean‐Michel Franconi, Paul Canioni, Marc Biran, Bruno Brochet, Klaus G. Petry, Marie‐Hélène Canron, Claudine Boiziau, Antoine Vekris, Mathilde S. A. Deloire and Martine Dieuaide‐Noubhani. Their work appears in journals such as Biochimie, NMR in Biomedicine, Brain Behavior and Immunity, Journal of Visualized Experiments and Journal of Cerebral Blood Flow & Metabolism.

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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