Daniel Larocque

2k citations
16 papers · 1.6k · h-index 14

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune responses and vaccinations

Papers in

Daniel Larocque

15 papers receiving 1.6k citations

Peers

Daniel Larocque
Comparison fields: 5 of 77
  • Developmental Neuroscience 84
  • Immunology 506
  • Neurology 140
  • Molecular Biology 380
  • Genetics 48
Replace Lawrence R. Shiow with:
Lawrence R. Shiow United States
David Wu United States
Veena S. Patil United States
Béatrice de Bovis France
Jianxiong Zeng China
Rolen M. Quadros United States
Mariana Puntel United States
Boyoun Park South Korea
Michael Baier Germany
Michael Carty Ireland
Daniel Larocque relative to Lawrence R. Shiow United States Lawrence R. Shiow's profile →
Citations per field
00.5×2×2.7×
Lawrence R. Shiow · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Larocque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Larocque Line = papers co-authored together Daniel Larocque links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2009635
2 2013227
3 2004145
4 2002144
5 2005113
6 200770
7 200544
8 200942
9 201141
10 201637
11 201136
12 200833
13 200827
14 201018
15 20131
16 20060

About Daniel Larocque

Daniel Larocque is a scholar working on Developmental Neuroscience, Immunology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Virus-based gene therapy research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Research and Splicing (2 papers), Multiple Sclerosis Research Studies (2 papers), Ubiquitin and proteasome pathways (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (84 citations), Immunology (506 citations), Neurology (140 citations), Molecular Biology (380 citations) and Genetics (48 citations). Daniel Larocque has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Stéphane Richard, Marcelle Van Mechelen, Sandra L. Giannini, Sandra Morel, Nathalie Garçon, Francesca Schiavetti, Olivier Vosters, Anders Kielland, Nathalie Vanderheyde and Arnaud M. Didierlaurent. Their work appears in journals such as Molecular Therapy, PLoS ONE, Proceedings of the National Academy of Sciences, Vaccine and Neuron.

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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