Christian Casanova

2.6k citations
119 papers · 1.9k indexed · h-index 25
Topics
Neural dynamics and brain function (66 papers)Visual perception and processing mechanisms (57 papers)Neuroscience and Neuropharmacology Research (39 papers)

In The Last Decade

Christian Casanova

117 papers receiving 1.9k citations

Peers

Christian Casanova
Comparison fields: 5 of 110
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 889
  • Molecular Biology 454
  • Pharmacology 398
  • Radiology, Nuclear Medicine and Imaging 184
Replace James L. Burchfiel with:
James L. Burchfiel United States
Alexander Z. Harris United States
Daniel A. Nicholson United States
Jingyi Ma Canada
K. Albus Germany
Kenneth L. Grieve Spain
Mingliang Pu China
Michel Imbert France
Jen Yü United States
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Christian Casanova relative to James L. Burchfiel United States James L. Burchfiel's profile →
Citations per field
00.5×4.9×
James L. Burchfiel · 1×
Citations per year

Countries citing papers authored by Christian Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Christian Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Casanova

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Casanova. A scholar is included among the top collaborators of Christian Casanova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Casanova. Christian Casanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 2
3 5
4 28
5 6
6 39
7 3
8 30
9
ERG REVEALS ACUTE BUT NOT CHRONIC EFFECTS OF ESTROGEN ON RETINAL FUNCTION IN RATS
1
10 12
11
Pre-ovulation Increase In Scotopic ERG Amplitudes
1
12 23
13 36
14 29
15
On the use of isoflurane versus halothane for single cell recording in the primary visual cortex
2
16 3
17 32
18 21
19 14
20 22

About Christian Casanova

Christian Casanova is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pharmacology, having authored 119 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (66 papers), Visual perception and processing mechanisms (57 papers) and Neuroscience and Neuropharmacology Research (39 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (889 citations) and Pharmacology (398 citations). Christian Casanova has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jean‐François Bouchard, Maurice Ptito, Nawal Zabouri, Lotfi B. Merabet, Stéphane Molotchnikoff, Bruno Cécyre, Alex Désautels, Pierre Lachapelle, Tony Savard and Jocelyn Faubert. Their work appears in journals such as Nature, Journal of Neuroscience and PLoS ONE.

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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