Chiara Zanetta

1.3k citations
33 papers · 912 · h-index 17

Impact in

Papers in

Chiara Zanetta

27 papers receiving 902 citations

Peers

Chiara Zanetta
Comparison fields: 5 of 76
  • Developmental Neuroscience 110
  • Genetics 224
  • Neurology 162
  • Pathology and Forensic Medicine 128
  • Molecular Biology 529
Replace Donatella De Feo with:
Donatella De Feo Switzerland
Jung Min Lee South Korea
Arianna Merlini Italy
Ryan Salinas United States
Jadranka Macas Germany
Lois A. Lampson United States
Nataliya Romanyuk Czechia
Claudio Maderna Italy
Chiara Zanetta relative to Donatella De Feo Switzerland Donatella De Feo's profile →
Citations per field
00.5×2.6×
Donatella De Feo · 1×
Citations per year

Countries citing papers authored by Chiara Zanetta

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Zanetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014188
2 2012139
3 201385
4 201366
5 201351
6 201446
7 201445
8 202136
9 201934
10 201427
11 201426
12 201625
13 201423
14 202322
15 201421
16 202318
17 202117
18 202314
19 202014
20 20234

About Chiara Zanetta

Chiara Zanetta is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Genetics, Neurology and Surgery, having authored 33 papers that have together received 912 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Neurogenetic and Muscular Disorders Research (8 papers), Amyotrophic Lateral Sclerosis Research (3 papers), RNA modifications and cancer (3 papers), Pluripotent Stem Cells Research (2 papers), Immunotherapy and Immune Responses (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (110 citations), Genetics (224 citations), Neurology (162 citations), Pathology and Forensic Medicine (128 citations) and Molecular Biology (529 citations). Chiara Zanetta has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Stefania Corti, Monica Nizzardo, Giacomo P. Comi, Nereo Bresolin, Chiara Simone, Agnese Ramirez, Mafalda Rizzuti, Irene Faravelli, Giulietta Riboldi and Francesca Magri. Their work appears in journals such as Journal of Neurology, Journal of the Neurological Sciences, Neurological Sciences, Cellular and Molecular Life Sciences and Clinical Therapeutics.

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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