Patrizia Aimar

645 citations
18 papers · 520 indexed · h-index 11

Patrizia Aimar

17 papers receiving 514 citations

Peers

Patrizia Aimar
Comparison fields: 5 of 61
  • Developmental Neuroscience 272
  • Neurology 110
  • Cellular and Molecular Neuroscience 205
  • Developmental Biology 16
  • Reproductive Medicine 44
Replace Carlos G. Pérez‐García with:
Carlos G. Pérez‐García United States
Mona M. Freidin United States
Rozina Hassam Canada
Tsu‐Wei Wang Taiwan
Lakshmi Subramanian India
Nicola Brandt Germany
RW Oppenheim United States
Yasuhito Watanabe Germany
Tomoko Hisaoka Japan
Pierre Flandin United States
Patrizia Aimar relative to Carlos G. Pérez‐García United States Carlos G. Pérez‐García's profile →
Citations per field
00.5×2.7×
Carlos G. Pérez‐García · 1×
Citations per year

Countries citing papers authored by Patrizia Aimar

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Aimar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202111
2 202011
3 20205
4 201435
5 201312
6 201235
7 20123
8 20108
9 20082
10 200652
11 20061
12 2005137
13 200385
14
Immunogold labeling for transmission electron microscopy: applications in cell and molecular biology.
20020
15 199851
16
Cell proliferation in the post-natal and adult mammalian central nervous system.
19953
17 199440
18 199329

About Patrizia Aimar

Patrizia Aimar is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 18 papers that have together received 520 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Pain Mechanisms and Treatments (3 papers), Hypothalamic control of reproductive hormones (2 papers), Neonatal and fetal brain pathology (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (272 citations), Neurology (110 citations) and Cellular and Molecular Neuroscience (205 citations). Patrizia Aimar has collaborated with scholars based in Italy, Belgium and Egypt. Frequent co-authors include Luca Bonfanti, Aldo Fasolo, Paolo Peretto, Giovanna Ponti, Claudio Giachino, Adalberto Merighi, Federico Luzzati, Lucia Pasti, Giorgio Carmignoto and Jacques Balthazart.

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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