Michaël Russier

1.6k citations
26 papers · 1.1k · h-index 17

Impact in

Papers in

Michaël Russier

26 papers receiving 1.1k citations

Peers

Michaël Russier
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 544
  • Cognitive Neuroscience 300
  • Neurology 123
  • Developmental Neuroscience 49
  • Endocrine and Autonomic Systems 77
Replace Boris V. Safronov with:
Boris V. Safronov Portugal
Sandrine S. Bertrand France
Christiaan van Huijzen Netherlands
Fabrizio Strata United States
Nathan Cramer United States
K. Jürgen Germany
János Fuzik Sweden
Laura Mantoan Ritter United Kingdom
Caren Armstrong United States
Nafiseh Atapour Australia
Michaël Russier relative to Boris V. Safronov Portugal Boris V. Safronov's profile →
Citations per field
00.5×1.5×
Boris V. Safronov · 1×
Citations per year

Countries citing papers authored by Michaël Russier

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Russier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018151
2 2003140
3 2002116
4 2003100
5 201766
6 200765
7 201260
8 201153
9 200343
10 200940
11 202026
12 200924
13 201823
14 201122
15 201822
16 200721
17 202118
18 201916
19 202214
20 202214

About Michaël Russier

Michaël Russier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (8 papers), Ion channel regulation and function (6 papers), Infant Development and Preterm Care (5 papers), Cellular transport and secretion (4 papers), Neonatal and fetal brain pathology (4 papers), Neuroscience and Neural Engineering (4 papers) and Autoimmune Neurological Disorders and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (544 citations), Cognitive Neuroscience (300 citations), Neurology (123 citations), Developmental Neuroscience (49 citations) and Endocrine and Autonomic Systems (77 citations). Michaël Russier has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Dominique Debanne, Norbert Ankri, Yanis Inglebert, Jacques‐Olivier Coq, Mary F. Barbe, Nadine Ferrand, Nancy N. Byl, Fabrizio Strata, Michael M. Merzenich and Olivier Baud. Their work appears in journals such as Journal of Neuroscience, Experimental Neurology, Proceedings of the National Academy of Sciences, Cells and Science Advances.

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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