Frédéric Brocard

2.5k citations
50 papers · 1.9k · h-index 25

Impact in

Papers in

Frédéric Brocard

47 papers receiving 1.9k citations

Peers

Frédéric Brocard
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 412
  • Developmental Neuroscience 191
  • Cellular and Molecular Neuroscience 894
  • Cell Biology 692
  • Cognitive Neuroscience 412
Replace Hiroshi Nishimaru with:
Hiroshi Nishimaru Japan
Simon Gosgnach Canada
Lotta Borgius Sweden
Julien Bouvier France
Jun Chul Kim Canada
Lea Ziskind‐Conhaim United States
A. Lev‐Tov Israel
Laurent Vinay France
Ingela Hammar Sweden
Erika Polgár United Kingdom
Frédéric Brocard relative to Hiroshi Nishimaru Japan Hiroshi Nishimaru's profile →
Citations per field
00.5×1.5×1.9×
Hiroshi Nishimaru · 1×
Citations per year

Countries citing papers authored by Frédéric Brocard

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Brocard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007139
2 2008138
3 2000120
4 200789
5 200288
6 201387
7 200385
8 200485
9 201069
10 201667
11 200363
12 201057
13 200657
14 201754
15 199950
16 200049
17 201341
18 201039
19 199936
20 201736

About Frédéric Brocard

Frédéric Brocard is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (18 papers), Neuroscience and Neuropharmacology Research (17 papers), Ion channel regulation and function (14 papers), Neuroscience of respiration and sleep (12 papers), Spinal Cord Injury Research (7 papers), Neurobiology and Insect Physiology Research (5 papers), Pain Mechanisms and Treatments (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (412 citations), Developmental Neuroscience (191 citations), Cellular and Molecular Neuroscience (894 citations), Cell Biology (692 citations) and Cognitive Neuroscience (412 citations). Frédéric Brocard has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Laurent Vinay, F. Clarac, Sabrina Tazerart, Réjean Dubuc, Jean‐François Pflieger, Cécile Brocard, Édouard Pearlstein, François Auclair, D. Le Ray and Sylvie Liabeuf. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Neuroscience, European Journal of Neuroscience and Brain Research Reviews.

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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