Jean‐Marc Devaud

3.0k total citations
49 papers, 2.0k citations indexed

About

Jean‐Marc Devaud is a scholar working on Genetics, Cellular and Molecular Neuroscience and Insect Science. According to data from OpenAlex, Jean‐Marc Devaud has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 32 papers in Cellular and Molecular Neuroscience and 31 papers in Insect Science. Recurrent topics in Jean‐Marc Devaud's work include Insect and Arachnid Ecology and Behavior (35 papers), Neurobiology and Insect Physiology Research (32 papers) and Insect and Pesticide Research (23 papers). Jean‐Marc Devaud is often cited by papers focused on Insect and Arachnid Ecology and Behavior (35 papers), Neurobiology and Insect Physiology Research (32 papers) and Insect and Pesticide Research (23 papers). Jean‐Marc Devaud collaborates with scholars based in France, Australia and Germany. Jean‐Marc Devaud's co-authors include Andrew B. Barron, Mathieu Lihoreau, Jean‐Christophe Sandoz, Martín Giurfa, Alberto Ferrús, Ángel Acebes, Amélie Cabirol, Simon Klein, Coline Monchanin and Bernd Grünewald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jean‐Marc Devaud

49 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐Marc Devaud France 27 1.1k 1.1k 1.1k 1.0k 184 49 2.0k
Jürgen Rybak Germany 23 1.1k 1.0× 1.7k 1.6× 903 0.9× 674 0.7× 182 1.0× 39 2.1k
Axel Brockmann India 24 1.6k 1.4× 718 0.7× 1.4k 1.4× 1.4k 1.4× 116 0.6× 71 2.2k
Sarah M. Farris United States 27 1.5k 1.3× 1.5k 1.4× 1.3k 1.3× 638 0.6× 202 1.1× 33 2.3k
Azusa Kamikouchi Japan 22 956 0.8× 1.3k 1.2× 851 0.8× 562 0.6× 312 1.7× 54 1.9k
Y. Matsumoto Japan 23 681 0.6× 1.2k 1.1× 756 0.7× 718 0.7× 185 1.0× 55 1.7k
Mamiko Ozaki Japan 22 1.3k 1.2× 1.2k 1.1× 1.0k 1.0× 1.2k 1.2× 256 1.4× 68 2.2k
Ryuichi Okada Japan 22 738 0.6× 1.1k 1.0× 579 0.5× 355 0.4× 116 0.6× 54 1.4k
Wolf Huetteroth Germany 21 912 0.8× 1.7k 1.6× 667 0.6× 469 0.5× 203 1.1× 30 1.9k
Christophe Gadenne France 27 756 0.7× 1.2k 1.1× 652 0.6× 1.3k 1.2× 145 0.8× 45 1.7k
Jean‐Christophe Billeter Netherlands 26 1.4k 1.2× 1.4k 1.3× 1.3k 1.2× 612 0.6× 186 1.0× 43 2.2k

Countries citing papers authored by Jean‐Marc Devaud

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Devaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Marc Devaud. 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 Jean‐Marc Devaud. The network helps show where Jean‐Marc Devaud may publish in the future.

Co-authorship network of co-authors of Jean‐Marc Devaud

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Devaud. A scholar is included among the top collaborators of Jean‐Marc Devaud 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 Jean‐Marc Devaud. Jean‐Marc Devaud 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
1.
Haussmann, Irmgard U., et al.. (2024). Memory consolidation in honey bees is enhanced by down-regulation of Down syndrome cell adhesion molecule and changes its alternative splicing. Frontiers in Molecular Neuroscience. 16. 1322808–1322808. 4 indexed citations
2.
Lösel, Philipp D., Coline Monchanin, Renaud Lebrun, et al.. (2023). Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning. PLoS Computational Biology. 19(10). e1011529–e1011529. 14 indexed citations
3.
Monchanin, Coline, et al.. (2021). Metal pollutants have additive negative effects on honey bee cognition. Journal of Experimental Biology. 224(12). 40 indexed citations
4.
Haussmann, Irmgard U., et al.. (2021). Dynamically expressed single ELAV/Hu orthologue elavl2 of bees is required for learning and memory. Communications Biology. 4(1). 1234–1234. 16 indexed citations
5.
Baracchi, David, Amélie Cabirol, Jean‐Marc Devaud, et al.. (2020). Pheromone components affect motivation and induce persistent modulation of associative learning and memory in honey bees. Communications Biology. 3(1). 447–447. 35 indexed citations
6.
Cabirol, Amélie, Alex Cope, Andrew B. Barron, & Jean‐Marc Devaud. (2018). Relationship between brain plasticity, learning and foraging performance in honey bees. PLoS ONE. 13(4). e0196749–e0196749. 38 indexed citations
7.
Baracchi, David, Jean‐Marc Devaud, Patrizia d’Ettorre, & Martín Giurfa. (2017). Pheromones modulate reward responsiveness and non-associative learning in honey bees. Scientific Reports. 7(1). 9875–9875. 29 indexed citations
8.
Devaud, Jean‐Marc, et al.. (2017). C-type allatostatins mimic stress-related effects of alarm pheromone on honey bee learning and memory recall. PLoS ONE. 12(3). e0174321–e0174321. 15 indexed citations
9.
10.
Klein, Simon, Amélie Cabirol, Jean‐Marc Devaud, Andrew B. Barron, & Mathieu Lihoreau. (2017). Why Bees Are So Vulnerable to Environmental Stressors. Trends in Ecology & Evolution. 32(4). 268–278. 188 indexed citations
11.
Søvik, Eirik, et al.. (2016). Neuropharmacological Manipulation of Restrained and Free-flying Honey Bees, <em>Apis mellifera</em>. Journal of Visualized Experiments. 10 indexed citations
12.
Soustelle, Laurent, Marie‐Laure Parmentier, Heleen Verlinden, et al.. (2016). Honey Bee Allatostatins Target Galanin/Somatostatin-Like Receptors and Modulate Learning: A Conserved Function?. PLoS ONE. 11(1). e0146248–e0146248. 40 indexed citations
13.
Arenas, Andrés, et al.. (2012). Early olfactory experience induces structural changes in the primary olfactory center of an insect brain. European Journal of Neuroscience. 35(5). 682–690. 38 indexed citations
14.
Giurfa, Martín, et al.. (2012). Latent inhibition in an insect: The role of aminergic signaling. Learning & Memory. 19(12). 593–597. 15 indexed citations
15.
Acebes, Ángel, et al.. (2012). Central Adaptation to Odorants Depends on PI3K Levels in Local Interneurons of the Antennal Lobe. Journal of Neuroscience. 32(2). 417–422. 14 indexed citations
16.
Devaud, Jean‐Marc, et al.. (2008). Widespread brain distribution of the Drosophila metabotropic glutamate receptor. Neuroreport. 19(3). 367–371. 17 indexed citations
17.
Devaud, Jean‐Marc, Ángel Acebes, Mani Ramaswami, & Alberto Ferrús. (2003). Structural and functional changes in the olfactory pathway of adult Drosophila take place at a critical age. Journal of Neurobiology. 56(1). 13–23. 91 indexed citations
18.
Fiala, André, Sören Diegelmann, Silke Sachse, et al.. (2002). Genetically Expressed Cameleon in Drosophila melanogaster Is Used to Visualize Olfactory Information in Projection Neurons. Current Biology. 12(21). 1877–1884. 169 indexed citations
19.
Devaud, Jean‐Marc. (2000). Statistical Analysis and Parsimonious Modelling of Dendrograms of in vitro Neurones. Bulletin of Mathematical Biology. 62(4). 657–674. 10 indexed citations
20.
Devaud, Jean‐Marc & C. Masson. (1999). Dendritic pattern development of the honeybee antennal lobe neurons: a laser scanning confocal microscopic study. Journal of Neurobiology. 39(4). 461–474. 16 indexed citations

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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