Marie‐Ève Tremblay

20.2k total citations · 10 hit papers
218 papers, 12.3k citations indexed

About

Marie‐Ève Tremblay is a scholar working on Neurology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marie‐Ève Tremblay has authored 218 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Neurology, 50 papers in Immunology and 49 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marie‐Ève Tremblay's work include Neuroinflammation and Neurodegeneration Mechanisms (151 papers), Tryptophan and brain disorders (40 papers) and Immune cells in cancer (36 papers). Marie‐Ève Tremblay is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (151 papers), Tryptophan and brain disorders (40 papers) and Immune cells in cancer (36 papers). Marie‐Ève Tremblay collaborates with scholars based in Canada, United States and Italy. Marie‐Ève Tremblay's co-authors include Ania K. Majewska, Rebecca L. Lowery, Kanchan Bisht, Julie C. Savage, Amanda Sierra, Micaël Carrier, Kaushik Sharma, Hiroaki Wake, Beth Stevens and Alain Bessis and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Marie‐Ève Tremblay

204 papers receiving 12.2k citations

Hit Papers

Microglial Interactions with Synapses Are Modulated by Vi... 2010 2026 2015 2020 2010 2011 2019 2015 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie‐Ève Tremblay Canada 54 7.6k 2.8k 2.6k 2.4k 2.1k 218 12.3k
Uwe‐Karsten Hanisch Germany 46 9.0k 1.2× 4.5k 1.6× 3.3k 1.3× 4.1k 1.7× 2.5k 1.2× 98 15.7k
Oleg Butovsky United States 47 10.1k 1.3× 4.7k 1.7× 2.1k 0.8× 3.7k 1.5× 3.6k 1.7× 78 15.2k
Josef Priller Germany 64 9.1k 1.2× 5.3k 1.9× 2.7k 1.1× 4.9k 2.0× 2.4k 1.2× 212 18.0k
Shane A. Liddelow United States 40 7.0k 0.9× 2.5k 0.9× 2.9k 1.1× 4.5k 1.9× 2.6k 1.3× 73 13.2k
Marina A. Lynch Ireland 73 7.1k 0.9× 3.0k 1.1× 5.8k 2.3× 5.1k 2.1× 3.8k 1.8× 235 17.1k
Elly M. Hol Netherlands 61 4.6k 0.6× 1.8k 0.6× 2.8k 1.1× 5.8k 2.4× 3.4k 1.7× 198 13.4k
Wolfgang J. Streit United States 62 10.2k 1.3× 4.0k 1.4× 4.3k 1.7× 3.4k 1.4× 4.0k 1.9× 144 16.3k
Knut Biber Netherlands 53 4.9k 0.6× 2.5k 0.9× 1.6k 0.6× 1.6k 0.7× 1.4k 0.7× 96 8.5k
Long‐Jun Wu United States 64 5.0k 0.7× 1.7k 0.6× 4.9k 1.9× 3.9k 1.6× 3.8k 1.9× 213 13.1k
Cordian Beyer Germany 63 3.2k 0.4× 1.5k 0.5× 2.4k 0.9× 4.2k 1.8× 1.0k 0.5× 278 11.8k

Countries citing papers authored by Marie‐Ève Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Ève Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie‐Ève Tremblay

This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Ève Tremblay. A scholar is included among the top collaborators of Marie‐Ève Tremblay 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‐Ève Tremblay. Marie‐Ève Tremblay 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
3.
Mills, William A., Dennis H. Lentferink, Fernando Gonzàlez Ibáñez, et al.. (2025). Microglial cyclooxygenase-1 modulates cerebral capillary basal tone in vivo in mice. Nature Communications. 16(1). 5704–5704.
4.
Ibáñez, Fernando Gonzàlez, Katherine Picard, Gunnar K. Gouras, et al.. (2024). Microglia degrade Alzheimer’s amyloid-beta deposits extracellularly via digestive exophagy. Cell Reports. 43(12). 115052–115052. 10 indexed citations
5.
Ibáñez, Fernando Gonzàlez, et al.. (2024). Ultrastructural features of psychological stress resilience in the brain: a microglial perspective. Open Biology. 14(11). 240079–240079. 2 indexed citations
6.
Newman, Laura, Sammy Weiser Novak, Nimesha Tadepalle, et al.. (2024). Mitochondrial DNA replication stress triggers a pro-inflammatory endosomal pathway of nucleoid disposal. Nature Cell Biology. 26(2). 194–206. 56 indexed citations breakdown →
7.
Picard, Katherine, et al.. (2024). Microglia and Sleep Disorders. Advances in neurobiology. 37. 357–377.
8.
Augusto‐Oliveira, Marcus, Marie‐Ève Tremblay, & Alexei Verkhratsky. (2024). Receptors on Microglia. Advances in neurobiology. 37. 83–121. 4 indexed citations
9.
Vecchiarelli, Haley A., et al.. (2024). Fundamental Neurochemistry Review: Lipids across microglial states. Journal of Neurochemistry. 169(1). e16259–e16259. 4 indexed citations
10.
Ramer, Leanne M., et al.. (2023). An aging, pathology burden, and glial senescence build-up hypothesis for late onset Alzheimer’s disease. Nature Communications. 14(1). 1670–1670. 106 indexed citations breakdown →
11.
Ben‐Azu, Benneth, et al.. (2023). Emerging epigenetic dynamics in gut-microglia brain axis: experimental and clinical implications for accelerated brain aging in schizophrenia. Frontiers in Cellular Neuroscience. 17. 17 indexed citations
12.
Ibáñez, Fernando Gonzàlez, Maude Bordeleau, Katherine Picard, et al.. (2022). Manual versus automatic analysis of microglial density and distribution: a comparison in the hippocampus of healthy and lipopolysaccharide-challenged mature male mice. Micron. 161. 103334–103334. 5 indexed citations
13.
Morel, Lydie, Quentin Leyrolle, Katherine Picard, et al.. (2021). Microglial Cannabinoid Type 1 Receptor Regulates Brain Inflammation in a Sex-Specific Manner. Cannabis and Cannabinoid Research. 6(6). 488–507. 22 indexed citations
14.
Bisht, Kanchan, et al.. (2021). Microglia contribute to social behavioral adaptation to chronic stress. Glia. 69(10). 2459–2473. 25 indexed citations
15.
Bisht, Kanchan, Kaushik Sharma, Dennis H. Lentferink, et al.. (2021). Capillary-associated microglia regulate vascular structure and function through PANX1-P2RY12 coupling in mice. Nature Communications. 12(1). 5289–5289. 193 indexed citations breakdown →
16.
Tremblay, Marie‐Ève, Mark Cookson, & Laura Civiero. (2019). Glial phagocytic clearance in Parkinson’s disease. Molecular Neurodegeneration. 14(1). 16–16. 121 indexed citations
17.
Nadjar, Agnès, Henna‐Kaisa Wigren, & Marie‐Ève Tremblay. (2017). Roles of Microglial Phagocytosis and Inflammatory Mediators in the Pathophysiology of Sleep Disorders. Frontiers in Cellular Neuroscience. 11. 250–250. 49 indexed citations
18.
Paris, Iñaki, Julie C. Savage, Laura Escobar, et al.. (2017). ProMoIJ: A new tool for automatic three‐dimensional analysis of microglial process motility. Glia. 66(4). 828–845. 18 indexed citations
19.
Smith, Pascal Y., Julia Hernandez-Rapp, Cynthia Lecours, et al.. (2015). miR-132/212 deficiency impairs tau metabolism and promotes pathological aggregationin vivo. Human Molecular Genetics. 24(23). 6721–6735. 189 indexed citations
20.
Marker, Daniel F., Marie‐Ève Tremblay, Joseph Barbieri, et al.. (2013). The New Small-Molecule Mixed-Lineage Kinase 3 Inhibitor URMC-099 Is Neuroprotective and Anti-Inflammatory in Models of Human Immunodeficiency Virus-Associated Neurocognitive Disorders. Journal of Neuroscience. 33(24). 9998–10010. 50 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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