Paride Antinucci

939 citations
10 papers · 555 · 1 hit paper · h-index 8

Impact in

Papers in

Paride Antinucci

10 papers receiving 552 citations

Paride Antinucci's Hit Papers

A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes 2021 · 172 citations
1720+1+3Years since publication50100150

Peers

Paride Antinucci
Comparison fields: 5 of 78
  • Cell Biology 225
  • Cellular and Molecular Neuroscience 168
  • Neurology 45
  • Developmental Neuroscience 21
  • Cognitive Neuroscience 96
Replace Qiangge Zhang with:
Qiangge Zhang United States
Kathryn M. Tabor United States
Eric J. Horstick United States
Weike Mo United States
Chintan A. Trivedi United States
Kevin Fidelin France
Anne Schohl Canada
Gregory D. Marquart United States
Martin Wienisch United States
Sven Loebrich United States
Paride Antinucci relative to Qiangge Zhang United States Qiangge Zhang's profile →
Citations per field
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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 →
2021172
2 2016123
3 201376
4 201950
5 201646
6 202044
7 201821
8 201912
9 20247
10 20164

About Paride Antinucci

Paride Antinucci is a scholar working on Molecular Biology, Cognitive Neuroscience, Cell Biology, Cellular and Molecular Neuroscience and Neurology, having authored 10 papers that have together received 555 indexed citations. Recurring topics across this work include Retinal Development and Disorders (7 papers), Zebrafish Biomedical Research Applications (5 papers), Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers), Neuroscience and Neuropharmacology Research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Memory and Neural Mechanisms (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cell Biology (225 citations), Cellular and Molecular Neuroscience (168 citations), Neurology (45 citations), Developmental Neuroscience (21 citations) and Cognitive Neuroscience (96 citations). Paride Antinucci has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Robert Hindges, Isaac H. Bianco, Nikolas Nikolaou, Martin P. Meyer, Mónica Folgueira, Clinton Monfries, Sumi Lim, Marcus Ghosh, Hande Tunbak and Gareth T. Powell. Their work appears in journals such as eLife, Current Biology, Scientific Reports, Cell Reports and Frontiers in Neural Circuits.

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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