Paula Fontanet

1.1k citations
15 papers · 648 indexed · h-index 13
Topics
Nerve injury and regeneration (5 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)Single-cell and spatial transcriptomics (3 papers)
Partner nations
ArgentinaSwedenFrance

In The Last Decade

Paula Fontanet

15 papers receiving 646 citations

Peers

Paula Fontanet
Comparison fields: 5 of 80
  • Molecular Biology 252
  • Cellular and Molecular Neuroscience 204
  • Sensory Systems 198
  • Developmental Neuroscience 158
  • Cognitive Neuroscience 123
Replace Chunjie Zhao with:
Chunjie Zhao China
Saïda Hadjab Sweden
Sonia Cabrera Spain
Kersti Lilleväli Estonia
Eric S. Tucker United States
Tomoyuki Fujiyama Japan
Anil Sharma Australia
Alexandria Hughes United States
Masao Horie Japan
Ken A. Morris United States
Paula Fontanet relative to Chunjie Zhao China Chunjie Zhao's profile →
Citations per field
00.5×1.5×2.3×
Chunjie Zhao · 1×
Citations per year

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

15 of 15 papers shown
#WorkIndexed citations
1 50
2 50
3 44
4 2
5 11
6 17
7 163
8 13
9 69
10 35
11 34
12 53
13 46
14 24
15 37

About Paula Fontanet

Paula Fontanet is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 15 papers that have together received 648 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Sensory Systems (198 citations), Developmental Neuroscience (158 citations) and Cellular and Molecular Neuroscience (204 citations). Paula Fontanet has collaborated with scholars based in Argentina, Sweden and France. Frequent co-authors include Gustavo Paratcha, Fernanda Ledda, Fernando C. Alsina, François Lallemend, Saïda Hadjab, Charles Petitpré, Yiqiao Wang, Haohao Wu, Anil Sharma and Gilad Silberberg. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

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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