Débora Masini

1.3k citations
12 papers · 866 indexed · 1 hit paper · h-index 9

Impact in

Papers in

Débora Masini

10 papers receiving 851 citations

Hit Papers

Midbrain circuits that set locomotor speed and gait selection 2018 · 292 citations
292201820262020202350100150200250

Peers

Débora Masini
Comparison fields: 5 of 79
  • Developmental Neuroscience 128
  • Cellular and Molecular Neuroscience 429
  • Neurology 267
  • Neurology 109
  • Endocrine and Autonomic Systems 68
Replace Katharina A. Quinlan with:
Katharina A. Quinlan United States
Floor J. Stam United States
Carmelo Bellardita Sweden
Ulrike B. S. Hedrich Germany
Shuang Yong United States
Stephen C. Harward United States
Patricia M. Cordery United Kingdom
A. Louise Upton United Kingdom
Sandra M. Holley United States
Vanessa Caldeira Sweden
Débora Masini relative to Katharina A. Quinlan United States Katharina A. Quinlan's profile →
Citations per field
00.5×1.5×
Katharina A. Quinlan · 1×
Citations per year

Countries citing papers authored by Débora Masini

Since Specialization
Citations

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

Fields of papers citing papers by Débora Masini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 20250
2 20240
3 20241
4 202251
5 202215
6 202138
7 201842
8
Midbrain circuits that set locomotor speed and gait selection
Hit paper breakdown →
2018292
9 2017257
10 201734
11 2014120
12 201316

About Débora Masini

Débora Masini is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Neurology, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 12 papers that have together received 866 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (3 papers), Nerve injury and regeneration (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Olfactory and Sensory Function Studies (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Developmental Neuroscience (128 citations), Cellular and Molecular Neuroscience (429 citations), Neurology (267 citations), Neurology (109 citations) and Endocrine and Autonomic Systems (68 citations). Débora Masini has collaborated with scholars based in Sweden, Denmark and Austria. Frequent co-authors include Gilberto Fisone, Ole Kiehn, Alessandra Bonito-Oliva, Vittorio Caggiano, Vanessa Caldeira, Roberto Leiras, Carmelo Bellardita, Julien Bouvier, Tibor Harkany and Roman A. Romanov. Their work appears in journals such as Neurobiology of Disease, Nature Biotechnology, Nature Communications, Translational Psychiatry and Molecular Psychiatry.

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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