Chiara Passarelli

2.3k citations
32 papers · 869 · h-index 17

Impact in

    • Muscle Physiology and Disorders
    • Mitochondrial Function and Pathology
    • RNA Research and Splicing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Muscle Physiology and Disorders 6
    • RNA Interference and Gene Delivery 5
    • RNA Research and Splicing 4
    • Redox biology and oxidative stress 4
    • Advanced biosensing and bioanalysis techniques 4
    • Retinal Development and Disorders 3

Chiara Passarelli

32 papers receiving 857 citations

Peers

Chiara Passarelli
Comparison fields: 5 of 93
  • Molecular Biology 510
  • Infectious Diseases 116
  • Immunology 118
  • Genetics 55
  • Cellular and Molecular Neuroscience 79
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Citations per year

Countries citing papers authored by Chiara Passarelli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Passarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2020108
3 200970
4 201758
5 201439
6 201936
7 202033
8 200833
9 201130
10 200924
11 201324
12 202023
13 201422
14 201221
15 201119
16 201318
17 202018
18 202215
19
Haematological involvement associated with a mild autoinflammatory phenotype, in two patients carrying the E250K mutation of PSTPIP1.
201814
20 202211

About Chiara Passarelli

Chiara Passarelli is a scholar working on Molecular Biology, Immunology, Genetics, Infectious Diseases and Rheumatology, having authored 32 papers that have together received 869 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (4 papers), Redox biology and oxidative stress (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Retinal Development and Disorders (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Molecular Biology (510 citations), Infectious Diseases (116 citations), Immunology (118 citations), Genetics (55 citations) and Cellular and Molecular Neuroscience (79 citations). Chiara Passarelli has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Alessandra Ferlini, C. Scotton, Enrico Bertini, Fiorella Piemonte, Giulia Tozzi, Antonio Novelli, Maria Sofia Falzarano, Anna Pastore, Fabrizio De Benedetti and Antonella Insalaco. Their work appears in journals such as Annals of the Rheumatic Diseases, Human Gene Therapy, Frontiers in Genetics, Neuromuscular Disorders and BioMed Research International.

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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