Paride Antinucci

892 citations
10 papers · 607 · 1 hit paper · h-index 8

Impact in

Papers in

Paride Antinucci

10 papers receiving 605 citations

Paride Antinucci's Hit Papers

A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes 2021 · 206 citations
2060+1+3Years since publication50100150200

Peers

Paride Antinucci
Comparison fields: 5 of 74
  • Cell Biology 197
  • Cellular and Molecular Neuroscience 139
  • Developmental Neuroscience 18
  • Cognitive Neuroscience 113
  • Biophysics 21
Replace Pradeep Lal with:
Pradeep Lal Norway
Harumi Harada Japan
Astrid G. Petzoldt Germany
Shahad Albadri France
David F. Sheehan United Kingdom
Chiharu Higashida Japan
Dick Wu United States
Vanessa Lanoue Australia
Armen J. Moughamian United States
Martin Wienisch United States
Paride Antinucci relative to Pradeep Lal Norway Pradeep Lal's profile →
Citations per field
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Pradeep Lal · 1×
Citations per year

Countries citing papers authored by Paride Antinucci

Since Specialization
Citations

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

Fields of papers citing papers by Paride Antinucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes
Hit paper breakdown →
2021206
2 2016128
3 201378
4 201951
5 201647
6 202047
7 201823
8 201914
9 20248
10 20165

About Paride Antinucci

Paride Antinucci is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology, Neurology and Molecular Biology, having authored 10 papers that have together received 607 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Zebrafish Biomedical Research Applications (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Vestibular and auditory disorders (1 paper), Photoreceptor and optogenetics research (1 paper), Neurobiology and Insect Physiology Research (1 paper), Motor Control and Adaptation (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Cell Biology (197 citations), Cellular and Molecular Neuroscience (139 citations), Developmental Neuroscience (18 citations), Cognitive Neuroscience (113 citations) and Biophysics (21 citations). Paride Antinucci has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Robert Hindges, Isaac Henry Bianco, Nikolas Nikolaou, Martin P. Meyer, Mónica Folgueira, Gareth T. Powell, François Kroll, Joseph M. Fernandez, David Whitmore and Gaia Gestri. Their work appears in journals such as eLife, Current Biology, Frontiers in Neural Circuits, Frontiers in Neuroscience and Journal of 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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