Laura Cancedda

6.0k citations
73 papers · 4.4k · h-index 34

Impact in

Papers in

Laura Cancedda

69 papers receiving 4.4k citations

Peers

Laura Cancedda
Comparison fields: 5 of 139
  • Developmental Neuroscience 724
  • Cellular and Molecular Neuroscience 2.5k
  • Behavioral Neuroscience 170
  • Cognitive Neuroscience 912
  • Neurology 356
Replace Hiroyuki Okuno with:
Hiroyuki Okuno Japan
Viktor Kharazia United States
Kurt Gottmann Germany
Ozlem Bozdagi United States
Miwako Yamasaki Japan
Shikshya Shrestha United States
R. Anne McKinney Canada
Matteo Caleo Italy
Kaoru Inokuchi Japan
Deanna L. Benson 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007286
2 2007284
3 2010254
4 2004219
5 2010204
6 2015202
7 2005174
8 2011171
9 2007167
10 2001167
11 2014140
12 2019137
13 2012131
14 2004128
15 2014120
16 2017107
17 2012103
18 201495
19 201791
20 202081

About Laura Cancedda

Laura Cancedda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Cognitive Neuroscience and Genetics, having authored 73 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Neuroscience and Neural Engineering (16 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Genetics and Neurodevelopmental Disorders (10 papers), Ion channel regulation and function (9 papers), Retinal Development and Disorders (8 papers), Down syndrome and intellectual disability research (7 papers) and Axon Guidance and Neuronal Signaling (6 papers). The work is most often cited by research in Developmental Neuroscience (724 citations), Cellular and Molecular Neuroscience (2.5k citations), Behavioral Neuroscience (170 citations), Cognitive Neuroscience (912 citations) and Neurology (356 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, Tommaso Pizzorusso, Andrea Contestabile and Sarah C. Heilshorn. Their work appears in journals such as Nature Communications, Neuron, Journal of Neuroscience, Cell Reports and Scientific Reports.

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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