Marie Monbureau

881 total citations
9 papers, 678 citations indexed

About

Marie Monbureau is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Developmental Biology. According to data from OpenAlex, Marie Monbureau has authored 9 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Developmental Biology. Recurrent topics in Marie Monbureau's work include Animal Behavior and Reproduction (4 papers), Animal Vocal Communication and Behavior (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Marie Monbureau is often cited by papers focused on Animal Behavior and Reproduction (4 papers), Animal Vocal Communication and Behavior (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Marie Monbureau collaborates with scholars based in France, United States and Italy. Marie Monbureau's co-authors include Mehrdad Shamloo, Daria Mochly‐Rosen, Xing Guo, Marie‐Hélène Disatnik, Xin Qi, Danielle A. Simmons, Frank M. Longo, Stephen M. Massa, Nadia P. Belichenko and Tao Yang and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Marie Monbureau

9 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie Monbureau France 7 379 299 204 95 73 9 678
Kobi Wasner Luxembourg 8 146 0.4× 114 0.4× 85 0.4× 49 0.5× 41 0.6× 9 374
Tomonari Tsutsumi Japan 13 371 1.0× 216 0.7× 107 0.5× 49 0.5× 59 0.8× 19 806
Dânia Emi Hamassaki‐Britto Brazil 21 712 1.9× 482 1.6× 17 0.1× 47 0.5× 58 0.8× 62 987
Wen‐Hai Chou United States 13 370 1.0× 379 1.3× 65 0.3× 49 0.5× 145 2.0× 20 877
Ulrike Träger United Kingdom 13 413 1.1× 511 1.7× 121 0.6× 62 0.7× 128 1.8× 15 898
Jennifer Spaethling United States 12 464 1.2× 320 1.1× 124 0.6× 70 0.7× 58 0.8× 12 847
Elias Pavlopoulos United States 14 588 1.6× 274 0.9× 37 0.2× 151 1.6× 94 1.3× 15 943
R. Allore Canada 6 342 0.9× 115 0.4× 66 0.3× 53 0.6× 30 0.4× 7 604
Hope H. Wu United States 11 263 0.7× 421 1.4× 27 0.1× 287 3.0× 57 0.8× 11 655
Jonnathan Singh Alvarado United States 5 111 0.3× 200 0.7× 14 0.1× 57 0.6× 119 1.6× 8 405

Countries citing papers authored by Marie Monbureau

Since Specialization
Citations

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

Fields of papers citing papers by Marie Monbureau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Monbureau

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

All Works

9 of 9 papers shown
1.
Bieri, Gregor, Michel Brahic, Luc Bousset, et al.. (2019). LRRK2 modifies α-syn pathology and spread in mouse models and human neurons. Acta Neuropathologica. 137(6). 961–980. 137 indexed citations
2.
Simmons, Danielle A., Nadia P. Belichenko, Sarah Semaan, et al.. (2016). A small molecule p75NTRligand normalizes signalling and reduces Huntington’s disease phenotypes in R6/2 and BACHD mice. Human Molecular Genetics. 25(22). ddw316–ddw316. 42 indexed citations
3.
Monbureau, Marie, Jennifer M. Barker, Gérard Leboucher, & Jacques Balthazart. (2015). Male song quality modulates c-Fos expression in the auditory forebrain of the female canary. Physiology & Behavior. 147. 7–15. 21 indexed citations
4.
Simmons, Danielle A., Nadia P. Belichenko, Tao Yang, et al.. (2013). A Small Molecule TrkB Ligand Reduces Motor Impairment and Neuropathology in R6/2 and BACHD Mouse Models of Huntington's Disease. Journal of Neuroscience. 33(48). 18712–18727. 123 indexed citations
5.
Beraki, Simret, Liza Soriano, Marie Monbureau, et al.. (2013). A Pharmacological Screening Approach for Discovery of Neuroprotective Compounds in Ischemic Stroke. PLoS ONE. 8(7). e69233–e69233. 19 indexed citations
6.
Guo, Xing, Marie‐Hélène Disatnik, Marie Monbureau, et al.. (2013). Inhibition of mitochondrial fragmentation diminishes Huntington’s disease–associated neurodegeneration. Journal of Clinical Investigation. 123(12). 5371–5388. 292 indexed citations
7.
Giret, Nicolas, Marie Monbureau, Michel Kreutzer, & Dalila Bovet. (2009). Conspecific discrimination in an object-choice task in African grey parrots (Psittacus erithacus). Behavioural Processes. 82(1). 75–77. 6 indexed citations
8.
Nagle, Laurent, et al.. (2009). Aviary Experience Has No Effect on Predisposition of Female Common Canaries (Serinus canaria) for Longer Sexy Phrases. The Auk. 126(2). 383–388. 6 indexed citations
9.
Amy, Mathieu, et al.. (2008). Female canary mate preferences: differential use of information from two types of male–male interaction. Animal Behaviour. 76(3). 971–982. 32 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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