Daniela Carulli

4.1k citations
36 papers · 3.2k · h-index 26

Impact in

Papers in

Daniela Carulli

36 papers receiving 3.1k citations

Peers

Daniela Carulli
Comparison fields: 5 of 109
  • Developmental Neuroscience 477
  • Cell Biology 1.6k
  • Cellular and Molecular Neuroscience 1.7k
  • Neurology 383
  • Immunology and Allergy 202
Replace Jessica C. F. Kwok with:
Jessica C. F. Kwok United Kingdom
Gert Brückner Germany
Sabrina Chierzi Canada
Justin R. Fallon United States
Beatriz Rico Spain
David W. Sretavan United States
Andrey Irintchev Germany
Paolo Medini Italy
Fadel Tissir Belgium
Lawrence Moon United Kingdom
Daniela Carulli relative to Jessica C. F. Kwok United Kingdom Jessica C. F. Kwok's profile →
Citations per field
00.5×1.5×
Jessica C. F. Kwok · 1×
Citations per year

Countries citing papers authored by Daniela Carulli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Carulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010398
2 2006300
3 2005278
4 2008168
5 2005158
6 2005158
7 2007138
8 2010134
9 2005131
10 2015114
11 2011110
12 2013110
13 201598
14 201581
15 202180
16 202077
17 202174
18 201361
19 201657
20 201353

About Daniela Carulli

Daniela Carulli is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Developmental Neuroscience and Genetics, having authored 36 papers that have together received 3.2k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (18 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Nerve injury and regeneration (9 papers), Axon Guidance and Neuronal Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Connective tissue disorders research (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Vestibular and auditory disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (477 citations), Cell Biology (1.6k citations), Cellular and Molecular Neuroscience (1.7k citations), Neurology (383 citations) and Immunology and Allergy (202 citations). Daniela Carulli has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include James W. Fawcett, Kate Rhodes, Jessica C. F. Kwok, Joost Verhaagen, Ferdinando Rossi, Herbert M. Geller, Sathyaseelan S. Deepa, Tracy L. Laabs, Clare Galtrey and Piergiorgio Strata. Their work appears in journals such as European Journal of Neuroscience, Current Opinion in Neurobiology, Neural Plasticity, The Journal of Comparative Neurology and Neuropharmacology.

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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