Manuela Allegra

794 citations
16 papers · 573 indexed · h-index 11
Topics
Neuroscience and Neuropharmacology Research (9 papers)Genetics and Neurodevelopmental Disorders (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)
Partner nations
ItalyFranceUnited States

In The Last Decade

Manuela Allegra

16 papers receiving 567 citations

Peers

Manuela Allegra
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 266
  • Molecular Biology 218
  • Cognitive Neuroscience 164
  • Genetics 137
  • Developmental Neuroscience 130
Replace Maggie W. Waung with:
Maggie W. Waung United States
My Andersson Sweden
Cristina Vasuta Canada
Katelin P. Patterson United States
Ryunhee Kim South Korea
Michael W. Nestor United States
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Shiori Ogawa Japan
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Manuela Allegra relative to Maggie W. Waung United States Maggie W. Waung's profile →
Citations per field
00.5×2.8×
Maggie W. Waung · 1×
Citations per year

Countries citing papers authored by Manuela Allegra

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Allegra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Allegra

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 10
5 11
6 29
7 7
8 9
9 14
10 93
11 95
12 28
13 14
14 85
15 41
16 130

About Manuela Allegra

Manuela Allegra is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 573 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (130 citations), Cellular and Molecular Neuroscience (266 citations) and Neurology (76 citations). Manuela Allegra has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Matteo Caleo, Yuri Bozzi, Chiara Cerri, Giulia Zunino, Sacha Genovesi, Gabriele Deidda, Laura Cancedda, Guillaume Bony, Shovan Naskar and Matteo Bergami. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

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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