Eric Brunette

1.9k citations
35 papers · 1.5k · h-index 21

Impact in

Papers in

Eric Brunette

35 papers receiving 1.5k citations

Peers

Eric Brunette
Comparison fields: 5 of 86
  • Neurology 319
  • Cellular and Molecular Neuroscience 373
  • Developmental Neuroscience 69
  • Radiology, Nuclear Medicine and Imaging 250
  • Biomaterials 151
Replace Sébastien Serres with:
Sébastien Serres United Kingdom
Ludovic Collin Switzerland
Dafang Wu United States
Kwame Hoyte United States
Fabien Chauveau France
Wilman Luk United States
Manuel Sarmiento Soto United Kingdom
Sylvie Cazaubon France
Andreas Muhs Switzerland
Ling Wei China
Eric Brunette relative to Sébastien Serres United Kingdom Sébastien Serres's profile →
Citations per field
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Sébastien Serres · 1×
Citations per year

Countries citing papers authored by Eric Brunette

Since Specialization
Citations

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

Fields of papers citing papers by Eric Brunette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Brunette, 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 Eric Brunette Line = papers co-authored together Eric Brunette 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 2017209
2 2020143
3 2014116
4 201872
5 201668
6 200566
7 201766
8 200564
9 200360
10 201855
11 201250
12 200849
13 200845
14 202242
15 201338
16 202035
17 200535
18 202233
19 200730
20 200326

About Eric Brunette

Eric Brunette is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Physiology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Glycosylation and Glycoproteins Research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Receptor Mechanisms and Signaling (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers) and Porphyrin and Phthalocyanine Chemistry (3 papers). The work is most often cited by research in Neurology (319 citations), Cellular and Molecular Neuroscience (373 citations), Developmental Neuroscience (69 citations), Radiology, Nuclear Medicine and Imaging (250 citations) and Biomaterials (151 citations). Eric Brunette has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Danica Stanimirovic, Joseph S. Tauskela, Ewa Baumann, Arsalan S. Haqqani, Christie E. Delaney, Abedelnasser Abulrob, Paul Morley, Geoff Mealing, Melissa Hewitt and Tanya Comas. Their work appears in journals such as The FASEB Journal, Journal of Neurochemistry, Fluids and Barriers of the CNS, European Journal of Pharmacology and Pharmaceutics.

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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