Pierre-Yves Plaçais

3.7k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Pierre-Yves Plaçais is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Pierre-Yves Plaçais has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Pierre-Yves Plaçais's work include Neurobiology and Insect Physiology Research (21 papers), Invertebrate Immune Response Mechanisms (6 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Pierre-Yves Plaçais is often cited by papers focused on Neurobiology and Insect Physiology Research (21 papers), Invertebrate Immune Response Mechanisms (6 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Pierre-Yves Plaçais collaborates with scholars based in France, Germany and United States. Pierre-Yves Plaçais's co-authors include Thomas Préat, Hiromu Tanimoto, Yoshinori Aso, Gerald M. Rubin, Anja Friedrich, Igor Siwanowicz, Séverine Trannoy, Nobuhiro Yamagata, Chang Liu and Barret D. Pfeiffer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Pierre-Yves Plaçais

24 papers receiving 1.7k citations

Hit Papers

A subset of dopamine neur... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre-Yves Plaçais France 15 1.4k 635 424 337 280 26 1.7k
Igor Siwanowicz United States 19 1.5k 1.1× 779 1.2× 570 1.3× 391 1.2× 456 1.6× 32 2.0k
Guillaume Isabel France 17 1.1k 0.8× 634 1.0× 538 1.3× 356 1.1× 219 0.8× 35 1.6k
Thomas Riemensperger Germany 19 1.3k 0.9× 544 0.9× 349 0.8× 321 1.0× 337 1.2× 26 1.6k
Ilona C Grunwald Kadow Germany 21 1.6k 1.2× 656 1.0× 384 0.9× 635 1.9× 395 1.4× 40 2.2k
Andreas S. Thum Germany 29 1.9k 1.4× 863 1.4× 551 1.3× 511 1.5× 351 1.3× 62 2.3k
J. Steven de Belle United States 18 1.5k 1.1× 744 1.2× 587 1.4× 376 1.1× 441 1.6× 36 1.9k
Florence Friggi‐Grelin France 9 1.5k 1.1× 735 1.2× 512 1.2× 523 1.6× 327 1.2× 9 1.8k
Wolf Huetteroth Germany 21 1.7k 1.2× 912 1.4× 667 1.6× 469 1.4× 203 0.7× 30 1.9k
Suewei Lin Taiwan 17 1.1k 0.8× 453 0.7× 311 0.7× 220 0.7× 370 1.3× 27 1.3k
Cory M. Root United States 11 1.5k 1.1× 544 0.9× 355 0.8× 341 1.0× 352 1.3× 19 1.8k

Countries citing papers authored by Pierre-Yves Plaçais

Since Specialization
Citations

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

Fields of papers citing papers by Pierre-Yves Plaçais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre-Yves Plaçais. 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 Pierre-Yves Plaçais. The network helps show where Pierre-Yves Plaçais may publish in the future.

Co-authorship network of co-authors of Pierre-Yves Plaçais

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Yves Plaçais. A scholar is included among the top collaborators of Pierre-Yves Plaçais 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 Pierre-Yves Plaçais. Pierre-Yves Plaçais 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.
Plaçais, Pierre-Yves, et al.. (2025). Astrocyte-to-neuron H2O2 signalling supports long-term memory formation in Drosophila and is impaired in an Alzheimer’s disease model. Nature Metabolism. 7(2). 321–335. 2 indexed citations
2.
Pavlowsky, Alice, Ruchira Basu, David Gény, et al.. (2025). Neuronal fatty acid oxidation fuels memory after intensive learning in Drosophila. Nature Metabolism. 7(12). 2438–2450.
3.
Pavlowsky, Alice, David Gény, Philippe Bun, et al.. (2024). Spaced training activates Miro/Milton-dependent mitochondrial dynamics in neuronal axons to sustain long-term memory. Current Biology. 34(9). 1904–1917.e6. 9 indexed citations
5.
Basu, Ruchira, Thomas Préat, & Pierre-Yves Plaçais. (2024). Glial metabolism versatility regulates mushroom body–driven behavioral output inDrosophila. Learning & Memory. 31(5). a053823–a053823.
6.
Lapraz, François, Pierre-Yves Plaçais, Delphine Cérézo, et al.. (2023). Asymmetric activity of NetrinB controls laterality of the Drosophila brain. Nature Communications. 14(1). 1052–1052. 8 indexed citations
7.
Plaçais, Pierre-Yves, et al.. (2023). Glycolysis-derived alanine from glia fuels neuronal mitochondria for memory in Drosophila. Nature Metabolism. 5(11). 2002–2019. 30 indexed citations
8.
Pascual, Alberto, et al.. (2022). Glia fuel neurons with locally synthesized ketone bodies to sustain memory under starvation. Nature Metabolism. 4(2). 213–224. 69 indexed citations
9.
Plaçais, Pierre-Yves, et al.. (2021). Glial glucose fuels the neuronal pentose phosphate pathway for long-term memory. Cell Reports. 36(8). 109620–109620. 40 indexed citations
10.
Plaçais, Pierre-Yves, et al.. (2020). DrosophilaMiddle-Term Memory: Amnesiac is Required for PKA Activation in the Mushroom Bodies, a Function Modulated by Neprilysin 1. Journal of Neuroscience. 40(21). 4219–4229. 8 indexed citations
11.
Hadjieconomou, Dafni, George A. King, Pedro Gaspar, et al.. (2020). Enteric neurons increase maternal food intake during reproduction. Nature. 587(7834). 455–459. 61 indexed citations
12.
Hudry, Bruno, Alessandro Mineo, Pedro Gaspar, et al.. (2019). Sex Differences in Intestinal Carbohydrate Metabolism Promote Food Intake and Sperm Maturation. Cell. 178(4). 901–918.e16. 104 indexed citations
13.
Pavlowsky, Alice, et al.. (2018). A GABAergic Feedback Shapes Dopaminergic Input on the Drosophila Mushroom Body to Promote Appetitive Long-Term Memory. Current Biology. 28(11). 1783–1793.e4. 51 indexed citations
14.
Scheunemann, Lisa, et al.. (2018). Dunce Phosphodiesterase Acts as a Checkpoint for Drosophila Long-Term Memory in a Pair of Serotonergic Neurons. Neuron. 98(2). 350–365.e5. 47 indexed citations
15.
Trannoy, Séverine, et al.. (2015). Two Independent Mushroom Body Output Circuits Retrieve the Six Discrete Components of Drosophila Aversive Memory. Cell Reports. 11(8). 1280–1292. 106 indexed citations
16.
Yamagata, Nobuhiro, Toshiharu Ichinose, Yoshinori Aso, et al.. (2014). Distinct dopamine neurons mediate reward signals for short- and long-term memories. Proceedings of the National Academy of Sciences. 112(2). 578–583. 164 indexed citations
17.
Plaçais, Pierre-Yves & Thomas Préat. (2013). To Favor Survival Under Food Shortage, the Brain Disables Costly Memory. Science. 339(6118). 440–442. 135 indexed citations
18.
Plaçais, Pierre-Yves, Séverine Trannoy, Anja Friedrich, Hiromu Tanimoto, & Thomas Préat. (2013). Two Pairs of Mushroom Body Efferent Neurons Are Required for Appetitive Long-Term Memory Retrieval in Drosophila. Cell Reports. 5(3). 769–780. 77 indexed citations
19.
Plaçais, Pierre-Yves, Séverine Trannoy, Guillaume Isabel, et al.. (2012). Slow oscillations in two pairs of dopaminergic neurons gate long-term memory formation in Drosophila. Nature Neuroscience. 15(4). 592–599. 119 indexed citations
20.
Plaçais, Pierre-Yves, Yoshinori Aso, Igor Siwanowicz, et al.. (2011). Mushroom body efferent neurons responsible for aversive olfactory memory retrieval in Drosophila. Nature Neuroscience. 14(7). 903–910. 181 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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