Christine Bareil

989 total citations · 1 hit paper
8 papers, 750 citations indexed

About

Christine Bareil is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Christine Bareil has authored 8 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 8 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Christine Bareil's work include Neurogenetic and Muscular Disorders Research (8 papers), Amyotrophic Lateral Sclerosis Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Christine Bareil is often cited by papers focused on Neurogenetic and Muscular Disorders Research (8 papers), Amyotrophic Lateral Sclerosis Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Christine Bareil collaborates with scholars based in Canada, France and Japan. Christine Bareil's co-authors include Jean‐Pierre Julien, Jasna Križ, Geneviève Soucy, Daniel J. Phaneuf, Guy A. Rouleau, Vivek Swarup, Janice Robertson, Yohei Iguchi, Masahisa Katsuno and Shinnosuke Takagi and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and Brain.

In The Last Decade

Christine Bareil

8 papers receiving 747 citations

Hit Papers

Exosome secretion is a key pathway for clearance of patho... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Bareil Canada 8 464 412 241 128 106 8 750
Rafaa Zeineddine Australia 7 404 0.9× 348 0.8× 183 0.8× 134 1.0× 135 1.3× 7 641
Lisa Corcoran Australia 7 354 0.8× 425 1.0× 150 0.6× 122 1.0× 109 1.0× 7 731
Francesco Limone United States 10 411 0.9× 611 1.5× 255 1.1× 113 0.9× 87 0.8× 13 886
Nipun A. Mistry United States 5 507 1.1× 450 1.1× 346 1.4× 68 0.5× 95 0.9× 7 852
Laura Pasetto Italy 10 299 0.6× 325 0.8× 165 0.7× 105 0.8× 84 0.8× 24 548
Kevin Drenner United States 9 528 1.1× 514 1.2× 345 1.4× 103 0.8× 87 0.8× 12 881
Julianne Aebischer France 9 289 0.6× 249 0.6× 184 0.8× 65 0.5× 58 0.5× 11 493
Shinnosuke Takagi Japan 4 321 0.7× 320 0.8× 163 0.7× 77 0.6× 77 0.7× 6 510
Shahram Saberi United States 5 384 0.8× 261 0.6× 248 1.0× 75 0.6× 82 0.8× 7 560
Paola Zago Italy 5 449 1.0× 409 1.0× 223 0.9× 95 0.7× 158 1.5× 7 671

Countries citing papers authored by Christine Bareil

Since Specialization
Citations

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

Fields of papers citing papers by Christine Bareil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Bareil

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

All Works

8 of 8 papers shown
1.
Soucy, Geneviève, Christine Bareil, Vincent Picher‐Martel, et al.. (2020). Transmission of ALS pathogenesis by the cerebrospinal fluid. Acta Neuropathologica Communications. 8(1). 65–65. 30 indexed citations
2.
Dutta, Kallol, et al.. (2020). Mitigation of ALS Pathology by Neuron-Specific Inhibition of Nuclear Factor Kappa B Signaling. Journal of Neuroscience. 40(26). 5137–5154. 45 indexed citations
3.
Pozzi, Silvia, Philippe Codron, Geneviève Soucy, et al.. (2020). Monoclonal full-length antibody against TAR DNA binding protein 43 reduces related proteinopathy in neurons. JCI Insight. 5(21). 26 indexed citations
4.
Pozzi, Silvia, Sai Sampath Thammisetty, Philippe Codron, et al.. (2019). Virus-mediated delivery of antibody targeting TAR DNA-binding protein-43 mitigates associated neuropathology. Journal of Clinical Investigation. 129(4). 1581–1595. 56 indexed citations
5.
Picher‐Martel, Vincent, et al.. (2018). Neuronal Expression of UBQLN2P497H Exacerbates TDP-43 Pathology in TDP-43G348C Mice through Interaction with Ubiquitin. Molecular Neurobiology. 56(7). 4680–4696. 21 indexed citations
6.
Iguchi, Yohei, Lara Eid, Martin Parent, et al.. (2016). Exosome secretion is a key pathway for clearance of pathological TDP-43. Brain. 139(12). 3187–3201. 288 indexed citations breakdown →
7.
Patel, Priyanka, Jasna Križ, Mathieu Gravel, et al.. (2014). Adeno-associated Virus–mediated Delivery of a Recombinant Single-chain Antibody Against Misfolded Superoxide Dismutase for Treatment of Amyotrophic Lateral Sclerosis. Molecular Therapy. 22(3). 498–510. 94 indexed citations
8.
Swarup, Vivek, Daniel J. Phaneuf, Christine Bareil, et al.. (2011). Pathological hallmarks of amyotrophic lateral sclerosis/frontotemporal lobar degeneration in transgenic mice produced with TDP-43 genomic fragments. Brain. 134(9). 2610–2626. 190 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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