Fernanda Ledda

3.2k citations
39 papers · 2.5k indexed · h-index 24

Impact in

Papers in

Fernanda Ledda

38 papers receiving 2.5k citations

Peers

Fernanda Ledda
Comparison fields: 5 of 97
  • Developmental Neuroscience 876
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 192
  • Behavioral Neuroscience 53
  • Molecular Biology 990
Replace William B.J. Cafferty with:
William B.J. Cafferty United States
Carlos Vicario‐Abejón Spain
Ralph Alderson United States
Ronald M. Lindsay United States
Feng‐Quan Zhou United States
Karl Johe United States
Peter S. DiStefano United States
Claudia Grothe Germany
Fabienne Lamballe France
Karl J. L. Fernandes Canada
Fernanda Ledda relative to William B.J. Cafferty United States William B.J. Cafferty's profile →
Citations per field
00.5×1.7×
William B.J. Cafferty · 1×
Citations per year

Countries citing papers authored by Fernanda Ledda

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Ledda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernanda Ledda, 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 Fernanda Ledda Line = papers co-authored together Fernanda Ledda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003491
2 2001241
3 2005219
4 2008160
5 1997145
6 2007138
7 2005121
8 2019117
9 200295
10 200889
11 201769
12 200856
13 201653
14 200849
15 201947
16 201346
17 201635
18 201634
19 201733
20 202033

About Fernanda Ledda

Fernanda Ledda is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Neurology and Behavioral Neuroscience, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (22 papers), Nerve injury and regeneration (18 papers), Axon Guidance and Neuronal Signaling (13 papers), Neuroscience and Neuropharmacology Research (8 papers), Signaling Pathways in Disease (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Protein Tyrosine Phosphatases (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Developmental Neuroscience (876 citations), Cellular and Molecular Neuroscience (1.4k citations), Neurology (192 citations), Behavioral Neuroscience (53 citations) and Molecular Biology (990 citations). Fernanda Ledda has collaborated with scholars based in Argentina, Sweden and United Kingdom. Frequent co-authors include Gustavo Paratcha, Carlos F. Ibáñez, Paula Fontanet, Antonella S. Ríos, Fernando C. Alsina, Tatiana Sandoval‐Guzmán, Muriel Coulpier, Louise Baars, Rizaldy P. Scott and Osvaldo L. Podhajcer. Their work appears in journals such as Development, Cell Reports, Cellular and Molecular Life Sciences, Neuron and Proceedings of the National Academy of Sciences.

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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