David Germanaud

1.3k citations
51 papers · 895 · h-index 15

Impact in

Papers in

David Germanaud

48 papers receiving 875 citations

Peers

David Germanaud
Comparison fields: 5 of 89
  • Virology 75
  • Pediatrics, Perinatology and Child Health 213
  • Cognitive Neuroscience 223
  • Immunology 137
  • Infectious Diseases 116
Replace Laurie Chicha with:
Laurie Chicha Switzerland
Brian M. Herron United Kingdom
Mikkel Steen Petersen Denmark
Jérôme Coste France
David J. Hawkes Australia
Sylviane Peudenier France
Tianbo Ren United States
Christine J. Harling‐Berg United States
B. Matt Wheatley Canada
Christopher A. Gravel Canada
David Germanaud relative to Laurie Chicha Switzerland Laurie Chicha's profile →
Citations per field
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Laurie Chicha · 1×
Citations per year

Countries citing papers authored by David Germanaud

Since Specialization
Citations

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

Fields of papers citing papers by David Germanaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Germanaud, 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 David Germanaud Line = papers co-authored together David Germanaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015173
2 201581
3 201259
4 202252
5 200950
6 201445
7 201843
8 201042
9 201837
10 201831
11 201429
12 201923
13 201121
14 202120
15 201815
16 200914
17 202012
18 202010
19 201510
20 20129

About David Germanaud

David Germanaud is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Genetics and Endocrine and Autonomic Systems, having authored 51 papers that have together received 895 indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Neonatal and fetal brain pathology (7 papers), Fetal and Pediatric Neurological Disorders (6 papers), Functional Brain Connectivity Studies (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Autism Spectrum Disorder Research (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Virology (75 citations), Pediatrics, Perinatology and Child Health (213 citations), Cognitive Neuroscience (223 citations), Immunology (137 citations) and Infectious Diseases (116 citations). David Germanaud has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Julien Lefèvre, Jean‐François Mangin, Lucie Hertz‐Pannier, Roberto Toro, Clara Fischer, Kevin C. Olivieri, Monika Schneider, Vincent Des Portes, Sumit K. Chanda and Stephen Soonthornvacharin. Their work appears in journals such as NeuroImage, Frontiers in Neuroscience, Developmental Medicine & Child Neurology, Human Brain Mapping and Frontiers in Neurology.

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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