Federico Scala

2.5k citations
25 papers · 1.1k · h-index 16

Impact in

Papers in

Federico Scala

25 papers receiving 1.1k citations

Peers

Federico Scala
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 396
  • Biological Psychiatry 42
  • Neurology 143
  • Developmental Neuroscience 61
  • Cognitive Neuroscience 247
Replace Fernanda Laezza with:
Fernanda Laezza United States
Jong‐Cheol Rah South Korea
Ning Zhou Taiwan
Hugo Vara Spain
Kenya Kaneko Japan
Alberto Pérez‐Alvarez Spain
Tanya L. Daigle United States
Catherine C. Kaczorowski United States
Yo Otsu Japan
Guido C. Faas United States
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Citations per field
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Citations per year

Countries citing papers authored by Federico Scala

Since Specialization
Citations

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

Fields of papers citing papers by Federico Scala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020185
2 2017165
3 2017103
4 201499
5 201998
6 201483
7 201756
8 201541
9 201738
10 202034
11 201631
12 202030
13 201827
14 202024
15 201524
16 201416
17 202114
18 202212
19 201810
20 20129

About Federico Scala

Federico Scala is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology and Neurology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (7 papers), Ion channel regulation and function (5 papers), Single-cell and spatial transcriptomics (4 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (396 citations), Biological Psychiatry (42 citations), Neurology (143 citations), Developmental Neuroscience (61 citations) and Cognitive Neuroscience (247 citations). Federico Scala has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Claudio Grassi, Marcello D’Ascenzo, Andreas S. Tolias, Xiaolong Jiang, Cristian Ripoli, Domenica Donatella Li Puma, Rickard Sandberg, Cathryn R. Cadwell, Salvatore Fusco and Fernanda Laezza. Their work appears in journals such as Nature Communications, Journal of Neuroscience, Frontiers in Molecular Neuroscience, The FASEB Journal and Molecular Neurobiology.

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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