Daniela Carulli

4.1k citations
36 papers · 3.3k · h-index 27

Impact in

Papers in

Daniela Carulli

36 papers receiving 3.3k citations

Peers

Daniela Carulli
Comparison fields: 5 of 105
  • Developmental Neuroscience 478
  • Cell Biology 1.7k
  • Cellular and Molecular Neuroscience 1.7k
  • Neurology 382
  • Immunology and Allergy 199
Replace Jessica C. F. Kwok with:
Jessica C. F. Kwok United Kingdom
Sabrina Chierzi Canada
Gert Brückner Germany
Justin R. Fallon United States
Paolo Medini Italy
Beatriz Rico Spain
Fadel Tissir Belgium
Melissa R. Andrews United Kingdom
Von R. King United Kingdom
Andrey Irintchev Germany
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 2010412
2 2006311
3 2005286
4 2008172
5 2005165
6 2005165
7 2007142
8 2005142
9 2010139
10 2015122
11 2011113
12 2013112
13 2015101
14 202186
15 201584
16 202081
17 202177
18 201365
19 201659
20 201355

About Daniela Carulli

Daniela Carulli is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience and Genetics, having authored 36 papers that have together received 3.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (19 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Axon Guidance and Neuronal Signaling (8 papers), Nerve injury and regeneration (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Connective tissue disorders research (5 papers) and Vestibular and auditory disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (478 citations), Cell Biology (1.7k citations), Cellular and Molecular Neuroscience (1.7k citations), Neurology (382 citations) and Immunology and Allergy (199 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, Ferdinando Rossi, Joost Verhaagen, Herbert M. Geller, Tracy L. Laabs, Clare Galtrey, Piergiorgio Strata and Fred de Winter. Their work appears in journals such as European Journal of Neuroscience, Neural Plasticity, Molecular and Cellular Neuroscience, The Journal of Comparative Neurology and Current Opinion in Neurobiology.

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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