Paula Fontanet

20 total papers · 1.1k total citations
15 papers, 642 citations indexed

About

Paula Fontanet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Paula Fontanet has authored 15 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Developmental Neuroscience. Recurrent topics in Paula Fontanet's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Nerve injury and regeneration (5 papers) and Single-cell and spatial transcriptomics (3 papers). Paula Fontanet is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Nerve injury and regeneration (5 papers) and Single-cell and spatial transcriptomics (3 papers). Paula Fontanet collaborates with scholars based in Argentina, Sweden and France. Paula Fontanet's co-authors include Fernanda Ledda, Gustavo Paratcha, Fernando C. Alsina, François Lallemend, Saïda Hadjab, Charles Petitpré, Haohao Wu, Yiqiao Wang, Anil Sharma and Gilad Silberberg and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Paula Fontanet

15 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Paula Fontanet 249 202 195 155 122 15 642
Anil Sharma 254 1.0× 226 1.1× 162 0.8× 56 0.4× 134 1.1× 19 644
M. De Silva 273 1.1× 121 0.6× 335 1.7× 77 0.5× 146 1.2× 24 658
Noel L. Wys 166 0.7× 124 0.6× 225 1.2× 55 0.4× 141 1.2× 8 562
Shouta Sugio 178 0.7× 248 1.2× 101 0.5× 96 0.6× 131 1.1× 16 642
Gabriela Sekerková 277 1.1× 186 0.9× 198 1.0× 100 0.6× 47 0.4× 9 580
Thomas M. Coate 178 0.7× 134 0.7× 395 2.0× 46 0.3× 159 1.3× 21 566
Mark Bothwell 400 1.6× 483 2.4× 155 0.8× 252 1.6× 62 0.5× 9 772
Marc C Ford 134 0.5× 348 1.7× 137 0.7× 279 1.8× 203 1.7× 7 693
Crista L. Adamson 179 0.7× 254 1.3× 291 1.5× 48 0.3× 179 1.5× 10 590
Grit Taschenberger 209 0.8× 185 0.9× 103 0.5× 79 0.5× 73 0.6× 17 693

Countries citing papers authored by Paula Fontanet

Since Specialization
Citations

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

Fields of papers citing papers by Paula Fontanet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Fontanet

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

All Works

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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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