Chiara Panicucci

775 citations
57 papers · 532 · h-index 14

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

Chiara Panicucci

50 papers receiving 523 citations

Peers

Chiara Panicucci
Comparison fields: 5 of 77
  • Physiology 64
  • Genetics 96
  • Molecular Biology 311
  • Cellular and Molecular Neuroscience 78
  • Rehabilitation 22
Replace Andrea Gangfuß with:
Andrea Gangfuß Germany
Shiro Ozasa Japan
Jesús Amo‐Aparicio Spain
David F. Kronn United States
Justin D. Wagner Canada
Helen Johnston United States
Nicole Corsten‐Janssen Netherlands
Xiomara Q. Rosales United States
Sinan Çomu Türkiye
Ngoc Lu‐Nguyen United Kingdom
Chiara Panicucci relative to Andrea Gangfuß Germany Andrea Gangfuß's profile →
Citations per field
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Andrea Gangfuß · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 201547
3 202331
4 201830
5 202126
6 201325
7 202324
8 202024
9 202121
10 202019
11 202218
12 202216
13 201715
14 202014
15
Novel TRIM32 mutation in sarcotubular myopathy.
201914
16 202213
17 201811
18 201710
19 202210
20 20229

About Chiara Panicucci

Chiara Panicucci is a scholar working on Genetics, Molecular Biology, Physiology, Physiology and Cardiology and Cardiovascular Medicine, having authored 57 papers that have together received 532 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (30 papers), Neurogenetic and Muscular Disorders Research (15 papers), Adenosine and Purinergic Signaling (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Genetic Neurodegenerative Diseases (4 papers), Pancreatic function and diabetes (3 papers), Adipose Tissue and Metabolism (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Physiology (64 citations), Genetics (96 citations), Molecular Biology (311 citations), Cellular and Molecular Neuroscience (78 citations) and Rehabilitation (22 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, Stefania Assereto, Santina Bruzzone and Marina Pedemonte. Their work appears in journals such as Brain, Neuromuscular Disorders, Neurobiology of Disease, Acta Neuropathologica Communications and European Journal of Pediatrics.

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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