Emanuela Zuccaro

1.2k citations
13 papers · 410 indexed · h-index 9
Topics
Muscle Physiology and Disorders (5 papers)Neurogenetic and Muscular Disorders Research (4 papers)Genetic Neurodegenerative Diseases (4 papers)

In The Last Decade

Emanuela Zuccaro

12 papers receiving 409 citations

Peers

Emanuela Zuccaro
Comparison fields: 5 of 63
  • Molecular Biology 219
  • Cellular and Molecular Neuroscience 203
  • Developmental Neuroscience 92
  • Cell Biology 62
  • Neurology 59
Replace Emmanuelle Buhler with:
Emmanuelle Buhler France
Jean-Michel Cioni United Kingdom
Elizabeth M. Hartfield United Kingdom
Yuanzheng Gu United States
Yuanzheng Gao United States
Deanna M. Marchionini United States
Yu‐Hui Wong Taiwan
Elisabetta Golini Italy
H. W. G. M. Boddeke Netherlands
Emanuela Zuccaro relative to Emmanuelle Buhler France Emmanuelle Buhler's profile →
Citations per field
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Emmanuelle Buhler · 1×
Citations per year

Countries citing papers authored by Emanuela Zuccaro

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Zuccaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Zuccaro

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Zuccaro. A scholar is included among the top collaborators of Emanuela Zuccaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emanuela Zuccaro. Emanuela Zuccaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 8
5 24
6 10
7 24
8 40
9 33
10 87
11 29
12 71
13 81

About Emanuela Zuccaro

Emanuela Zuccaro is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 13 papers that have together received 410 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Developmental Neuroscience (92 citations), Cellular and Molecular Neuroscience (203 citations) and Neurology (47 citations). Emanuela Zuccaro has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Matteo Bergami, Marco Canossa, Gabriele Ciceri, Sara Gualdoni, Sara Corbetta, Marta Monari, Ivan de Curtis, Victor L. J. Tybulewicz, Maria Pennuto and Paola Arlotta. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of 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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