Laura Cancedda

6.1k citations
78 papers · 4.7k · h-index 34

Impact in

Papers in

Laura Cancedda

75 papers receiving 4.6k citations

Peers

Laura Cancedda
Comparison fields: 5 of 143
  • Developmental Neuroscience 726
  • Cellular and Molecular Neuroscience 2.6k
  • Behavioral Neuroscience 165
  • Cognitive Neuroscience 929
  • Neurology 338
Replace Hiroyuki Okuno with:
Hiroyuki Okuno Japan
Kurt Gottmann Germany
Ozlem Bozdagi United States
Shikshya Shrestha United States
R. Anne McKinney Canada
Matteo Caleo Italy
Kaoru Inokuchi Japan
Zhanyan Fu United States
Deanna L. Benson United States
Anne E. West United States
Laura Cancedda relative to Hiroyuki Okuno Japan Hiroyuki Okuno's profile →
Citations per field
00.5×1.6×
Hiroyuki Okuno · 1×
Citations per year

Countries citing papers authored by Laura Cancedda

Since Specialization
Citations

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

Fields of papers citing papers by Laura Cancedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007318
2 2007292
3 2010268
4 2004230
5 2015211
6 2010210
7 2005183
8 2011180
9 2001177
10 2007174
11 2014151
12 2019143
13 2012135
14 2004132
15 2014122
16 2012113
17 2017111
18 201499
19 201796
20 202088

About Laura Cancedda

Laura Cancedda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience and Genetics, having authored 78 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Neuroscience and Neural Engineering (17 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Genetics and Neurodevelopmental Disorders (10 papers), Ion channel regulation and function (10 papers), Retinal Development and Disorders (9 papers), Down syndrome and intellectual disability research (7 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Developmental Neuroscience (726 citations), Cellular and Molecular Neuroscience (2.6k citations), Behavioral Neuroscience (165 citations), Cognitive Neuroscience (929 citations) and Neurology (338 citations). Laura Cancedda has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mu‐ming Poo, Lamberto Maffei, Hubert Fiumelli, Maya Shelly, Elena Putignano, Gabriele Deidda, Nicoletta Berardi, Andrea Contestabile, Tommaso Pizzorusso and Sarah C. Heilshorn. Their work appears in journals such as Nature Communications, Journal of Neuroscience, Neuron, Cell Reports and Frontiers in Cellular 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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