Karine Cambon

1.8k citations
20 papers · 816 indexed · h-index 15
Topics
Neuroscience and Neuropharmacology Research (7 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Genetic Neurodegenerative Diseases (6 papers)
Partner nations
FranceSpainDenmark

In The Last Decade

Karine Cambon

20 papers receiving 807 citations

Peers

Karine Cambon
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 398
  • Molecular Biology 367
  • Physiology 198
  • Developmental Neuroscience 144
  • Neurology 128
Replace Maryna Baydyuk with:
Maryna Baydyuk United States
Hisatsugu Koshimizu Japan
Shahar Barbash Israel
E. Goutan Spain
Nicola Schiavo Italy
Indrek Koppel Estonia
Uta Wagner Germany
Maciej Figiel Poland
Sònia Marco Spain
Milka Perović Serbia
Karine Cambon relative to Maryna Baydyuk United States Maryna Baydyuk's profile →
Citations per field
00.5×1.5×2.0×
Maryna Baydyuk · 1×
Citations per year

Countries citing papers authored by Karine Cambon

Since Specialization
Citations

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

Fields of papers citing papers by Karine Cambon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karine Cambon

This figure shows the co-authorship network connecting the top 25 collaborators of Karine Cambon. A scholar is included among the top collaborators of Karine Cambon 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 Karine Cambon. Karine Cambon 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 3
2 2
3 15
4 24
5 13
6 64
7 1
8 91
9 45
10 3
11 40
12 29
13 25
14 18
15 78
16 143
17 19
18 48
19 57
20 98

About Karine Cambon

Karine Cambon is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 20 papers that have together received 816 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Genetic Neurodegenerative Diseases (6 papers). The work is most often cited by research in Developmental Neuroscience (144 citations), Cellular and Molecular Neuroscience (398 citations) and Behavioral Neuroscience (68 citations). Karine Cambon has collaborated with scholars based in France, Spain and Denmark. Frequent co-authors include Carmen Sandi, Elisabeth Bock, César Venero, Vladimir Berezin, Ana I. Herrero, Heather A. Davies, Nicole Déglon, Michael G. Stewart, G. G. Skibo and Emmanuel Brouillet. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

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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