Daniel Larocque

2.0k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

Daniel Larocque is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Daniel Larocque has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Daniel Larocque's work include Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (4 papers). Daniel Larocque is often cited by papers focused on Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (4 papers). Daniel Larocque collaborates with scholars based in Canada, United States and Belgium. Daniel Larocque's co-authors include Stéphane Richard, Anders Kielland, Marcelle Van Mechelen, Harald Carlsen, Nathalie Vanderheyde, Sandra L. Giannini, Nathalie Garçon, Sandra Morel, Julie Pilotte and Francesca Schiavetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Daniel Larocque

15 papers receiving 1.6k citations

Hit Papers

AS04, an Aluminum Salt- and TLR4 Agonist-Based Adjuvant S... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Larocque Canada 15 843 617 250 176 172 15 1.6k
Michael Carty Ireland 18 763 0.9× 780 1.3× 256 1.0× 201 1.1× 162 0.9× 23 1.8k
Nihay Laham-Karam Finland 23 617 0.7× 623 1.0× 346 1.4× 154 0.9× 76 0.4× 62 1.7k
Amanda Swain United States 15 580 0.7× 522 0.8× 169 0.7× 166 0.9× 147 0.9× 21 1.3k
René J. P. Musters Netherlands 13 632 0.7× 359 0.6× 312 1.2× 70 0.4× 250 1.5× 19 1.6k
Hailiang Ge China 16 569 0.7× 294 0.5× 180 0.7× 96 0.5× 84 0.5× 38 1.2k
Мikhail Pashenkov Russia 26 391 0.5× 977 1.6× 122 0.5× 59 0.3× 250 1.5× 70 1.8k
Lucie Fransen Belgium 21 681 0.8× 755 1.2× 298 1.2× 167 0.9× 87 0.5× 32 1.8k
Ali Khoshnan United States 20 714 0.8× 430 0.7× 330 1.3× 52 0.3× 70 0.4× 27 1.6k
Zhongde Ye United States 21 761 0.9× 575 0.9× 157 0.6× 90 0.5× 80 0.5× 26 1.6k
Mary Jane Potash United States 26 693 0.8× 671 1.1× 340 1.4× 134 0.8× 349 2.0× 62 2.1k

Countries citing papers authored by Daniel Larocque

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Larocque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Larocque

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

All Works

15 of 15 papers shown
1.
Smith, Alyson, Yufeng Li, Hélène G. Bazin, et al.. (2016). Evaluation of novel synthetic TLR7/8 agonists as vaccine adjuvants. Vaccine. 34(36). 4304–4312. 35 indexed citations
2.
Michaud, Jean-Philippe, Maxime Hallé, Antoine Lampron, et al.. (2013). Toll-like receptor 4 stimulation with the detoxified ligand monophosphoryl lipid A improves Alzheimer’s disease-related pathology. Proceedings of the National Academy of Sciences. 110(5). 1941–1946. 212 indexed citations
3.
King, Gwendalyn D., Daniel Larocque, Weidong Xiong, et al.. (2011). Combined Flt3L/TK Gene Therapy Induces Immunological Surveillance Which Mediates an Immune Response Against a Surrogate Brain Tumor Neoantigen. Molecular Therapy. 19(10). 1793–1801. 37 indexed citations
4.
Thalappilly, Subhash, Xiaolan Feng, Asuka Suzuki, et al.. (2011). The p53 Tumor Suppressor Is Stabilized by Inhibitor of Growth 1 (ING1) by Blocking Polyubiquitination. PLoS ONE. 6(6). e21065–e21065. 35 indexed citations
5.
Larocque, Daniel, Nicholas Sanderson, Josée Bergeron, et al.. (2010). Exogenous fms-like tyrosine kinase 3 ligand overrides brain immune privilege and facilitates recognition of a neo-antigen without causing autoimmune neuropathology. Proceedings of the National Academy of Sciences. 107(32). 14443–14448. 17 indexed citations
6.
Larocque, Daniel, Gabriela Fragoso, Walter E. Mushynski, et al.. (2009). The QKI-6 and QKI-7 RNA Binding Proteins Block Proliferation and Promote Schwann Cell Myelination. PLoS ONE. 4(6). e5867–e5867. 39 indexed citations
7.
Didierlaurent, Arnaud M., Sandra Morel, Sandra L. Giannini, et al.. (2009). AS04, an Aluminum Salt- and TLR4 Agonist-Based Adjuvant System, Induces a Transient Localized Innate Immune Response Leading to Enhanced Adaptive Immunity. The Journal of Immunology. 183(10). 6186–6197. 578 indexed citations breakdown →
8.
Xiong, Weidong, Marianela Candolfi, Kurt M. Kroeger, et al.. (2008). Immunization Against the Transgene but not the TetON Switch Reduces Expression From Gutless Adenoviral Vectors in the Brain. Molecular Therapy. 16(2). 343–351. 30 indexed citations
9.
King, Gwendalyn D., A.K.M. Ghulam Muhammad, Weidong Xiong, et al.. (2008). High-Capacity Adenovirus Vector-Mediated Anti-Glioma Gene Therapy in the Presence of Systemic Antiadenovirus Immunity. Journal of Virology. 82(9). 4680–4684. 24 indexed citations
10.
Barcia, Carlos, Maximiliano Jimenez-Dalmaroni, Kurt M. Kroeger, et al.. (2007). One-year Expression From High-capacity Adenoviral Vectors in the Brains of Animals With Pre-existing Anti-adenoviral Immunity: Clinical Implications. Molecular Therapy. 15(12). 2154–2163. 64 indexed citations
11.
Lukong, Kiven Erique, Daniel Larocque, Angela L. Tyner, & Stéphane Richard. (2005). Tyrosine Phosphorylation of Sam68 by Breast Tumor Kinase Regulates Intranuclear Localization and Cell Cycle Progression. Journal of Biological Chemistry. 280(46). 38639–38647. 108 indexed citations
12.
Larocque, Daniel & Stéphane Richard. (2005). QUAKING KH Domain Proteins as Regulators of Glial Cell Fate and Myelination. RNA Biology. 2(2). 37–40. 42 indexed citations
13.
Larocque, Daniel, André Galarneau, Hsueh‐Ning Liu, et al.. (2004). Protection of p27Kip1 mRNA by quaking RNA binding proteins promotes oligodendrocyte differentiation. Nature Neuroscience. 8(1). 27–33. 140 indexed citations
14.
Larocque, Daniel, Julie Pilotte, Taiping Chen, et al.. (2002). Nuclear Retention of MBP mRNAs in the Quaking Viable Mice. Neuron. 36(5). 815–829. 144 indexed citations
15.
Pilotte, Julie, Daniel Larocque, & Stéphane Richard. (2001). Nuclear translocation controlled by alternatively spliced isoforms inactivates the QUAKING apoptotic inducer. Genes & Development. 15(7). 845–858. 88 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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