Annie Paquin

17 total papers · 867 total citations
9 papers, 715 citations indexed

About

Annie Paquin is a scholar working on Molecular Biology, Developmental Neuroscience and Oncology. According to data from OpenAlex, Annie Paquin has authored 9 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 2 papers in Oncology. Recurrent topics in Annie Paquin's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Signaling Pathways in Disease (2 papers) and Cancer-related Molecular Pathways (2 papers). Annie Paquin is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Signaling Pathways in Disease (2 papers) and Cancer-related Molecular Pathways (2 papers). Annie Paquin collaborates with scholars based in Canada, United States and United Kingdom. Annie Paquin's co-authors include Freda D. Miller, David R. Kaplan, Andrée Gauthier-Fisher, Katarzyna Bartkowska, Fanie Barnabé‐Heider, Joseph M. Antony, Stephen L. Nutt, Sagar B. Dugani, Ryoichiro Kageyama and Masashi Fujitani and has published in prestigious journals such as Neuron, Journal of Neuroscience and Development.

In The Last Decade

Annie Paquin

9 papers receiving 710 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Annie Paquin 365 264 176 153 108 9 715
Patric A. Clapshaw 417 1.1× 437 1.7× 269 1.5× 182 1.2× 124 1.1× 9 837
Danielle Pham‐Dinh 280 0.8× 352 1.3× 216 1.2× 179 1.2× 159 1.5× 12 749
Jennifer Ziskin 269 0.7× 265 1.0× 268 1.5× 168 1.1× 259 2.4× 12 893
F. Besnard 502 1.4× 213 0.8× 282 1.6× 145 0.9× 81 0.8× 22 894
Janel E. Le Belle 466 1.3× 233 0.9× 122 0.7× 99 0.6× 75 0.7× 7 865
Matthew Covey 331 0.9× 302 1.1× 140 0.8× 102 0.7× 59 0.5× 17 805
Victoria A. Swiss 484 1.3× 299 1.1× 87 0.5× 132 0.9× 45 0.4× 8 762
Shohei Furutachi 485 1.3× 406 1.5× 205 1.2× 200 1.3× 49 0.5× 8 799
Daniela Rossi 303 0.8× 212 0.8× 143 0.8× 85 0.6× 59 0.5× 13 679
Dario Motti 361 1.0× 187 0.7× 260 1.5× 115 0.8× 83 0.8× 17 752

Countries citing papers authored by Annie Paquin

Since Specialization
Citations

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

Fields of papers citing papers by Annie Paquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Paquin

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026