Chiara Panicucci

25 papers receiving 281 citations

Peers

Chiara Panicucci
Comparison fields: 5 of 68
  • Physiology 49
  • Genetics 58
  • Rehabilitation 23
  • Molecular Biology 180
  • Cellular and Molecular Neuroscience 31
Replace Shaojie Ding with:
Shaojie Ding China
Weisong Cai China
Eimear Linehan Ireland
Kai‐Chun Yang United States
Andrew Khayrullin United States
Yukiko Hirano Japan
Alexandra Brahmer Germany
Steven C. Chen United States
Paraskevas Iatropoulos Italy
Mustafa Gökhan Ertosun Türkiye
Chiara Panicucci relative to Shaojie Ding China Shaojie Ding's profile →
Citations per field
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Shaojie Ding · 1×
Citations per year

Countries citing papers authored by Chiara Panicucci

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Panicucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201544
2 201826
3 202324
4 202122
5 202320
6 201319
7 202215
8 202215
9 202015
10
Novel TRIM32 mutation in sarcotubular myopathy.
201914
11 202013
12 201711
13 201810
14 20177
15 20166
16 20216
17 20243
18 20243
19 20253
20 20242

About Chiara Panicucci

Chiara Panicucci is a scholar working on Physiology, Genetics, Molecular Biology, Clinical Biochemistry and Biochemistry, having authored 34 papers that have together received 286 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Neurogenetic and Muscular Disorders Research (12 papers), Adenosine and Purinergic Signaling (6 papers), RNA modifications and cancer (4 papers), Pancreatic function and diabetes (3 papers), Cardiomyopathy and Myosin Studies (3 papers), RNA Research and Splicing (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Physiology (49 citations), Genetics (58 citations), Rehabilitation (23 citations), Molecular Biology (180 citations) and Cellular and Molecular Neuroscience (31 citations). Chiara Panicucci has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Claudio Bruno, Carlo Minetti, Elisabetta Gazzerro, Chiara Fiorillo, Angela Pistorio, Lizzia Raffaghello, Elisa Principi, Elisabetta Traggiai, Santina Bruzzone and Fabio Grassi. Their work appears in journals such as Neuromuscular Disorders, Neurobiology of Disease, Acta Neuropathologica Communications, American Journal Of Pathology and Cytometry Part A.

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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