Gabrielle Pouchelon

567 citations
11 papers · 356 indexed · h-index 9
Topics
Neuroscience and Neuropharmacology Research (9 papers)Neural dynamics and brain function (8 papers)Photoreceptor and optogenetics research (6 papers)

In The Last Decade

Gabrielle Pouchelon

11 papers receiving 354 citations

Peers

Gabrielle Pouchelon
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 248
  • Cognitive Neuroscience 185
  • Molecular Biology 123
  • Developmental Neuroscience 54
  • Neurology 25
Replace Verónica Moreno‐Juan with:
Verónica Moreno‐Juan Spain
Jérôme Ribot France
Winnie Wefelmeyer United Kingdom
Anton Filipchuk France
Guillaume Bony Italy
Kartik Ramamoorthi United States
Sattar Khoshkhoo United States
Vania Y. Cao United States
Thomas Tressard France
Daniel Lyngholm United Kingdom
Gabrielle Pouchelon relative to Verónica Moreno‐Juan Spain Verónica Moreno‐Juan's profile →
Citations per field
00.5×4.7×
Verónica Moreno‐Juan · 1×
Citations per year

Countries citing papers authored by Gabrielle Pouchelon

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Pouchelon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Pouchelon

This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Pouchelon. A scholar is included among the top collaborators of Gabrielle Pouchelon 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 Gabrielle Pouchelon. Gabrielle Pouchelon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 6
2 8
3 34
4 16
5 31
6 25
7 60
8 9
9 106
10 49
11 12

About Gabrielle Pouchelon

Gabrielle Pouchelon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Genetics, having authored 11 papers that have together received 356 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neural dynamics and brain function (8 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (248 citations), Developmental Neuroscience (54 citations) and Cognitive Neuroscience (185 citations). Gabrielle Pouchelon has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Denis Jabaudon, Christian Lüscher, Ludovic Telley, Camilla Bellone, Laura Frangeul, Anthony Holtmaat, Frédéric Gambino, Ilaria Vitali, Sandrine Lefort and Gord Fishell. Their work appears in journals such as Nature, Nature Communications and Neuron.

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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