Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Assessment of mitochondrial respiratory chain enzymatic activities on tissues and cultured cells
This map shows the geographic impact of C. Angelini'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 C. Angelini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Angelini more than expected).
This network shows the impact of papers produced by C. Angelini. 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 C. Angelini. The network helps show where C. Angelini may publish in the future.
Co-authorship network of co-authors of C. Angelini
This figure shows the co-authorship network connecting the top 25 collaborators of C. Angelini.
A scholar is included among the top collaborators of C. Angelini 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 C. Angelini. C. Angelini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stadio, Arianna Di, Evanthia Bernitsas, Massimo Ralli, et al.. (2022). OAS1 gene, Spike protein variants and persistent COVID-19-related anosmia: may the olfactory disfunction be a harbinger of future neurodegenerative disease?. SHILAP Revista de lepidopterología.3 indexed citations
Angelini, C., Elena Pegoraro, Sandro Zambito Marsala, et al.. (2004). Adult acid maltase deficiency: an open trial with albuterol and branched- chain aminoacids. Research Padua Archive (University of Padua). 71–78.16 indexed citations
9.
Angelini, C.. (2003). Molecular update and therapeutic trials in muscle disorders of glycogen and lipid metabolism. Paediatria Croatica. 47(2). 61–67.5 indexed citations
10.
Knaflitz, Marco, Gabriella Balestra, C. Angelini, & Morena Cadaldini. (1996). Muscle fatigue evaluation in the follow-up of children affected by Duchenne muscular dystrophy. PORTO Publications Open Repository TOrino (Politecnico di Torino).6 indexed citations
Martinuzzi, Andrea, L Vergani, Francesco Mari, et al.. (1996). Diagnosis and therapy of myophosphorylase deficiency: experience with a group of italian patients.2 indexed citations
13.
Tregnaghi, Alberto, et al.. (1995). [Imaging of the thymus gland in myasthenia gravis (computerized tomography and magnetic resonance)].. PubMed. 90(4). 404–9.2 indexed citations
14.
Angelini, C., et al.. (1991). Muscular dystrophy research : from molecular diagnosis toward therapy : proceedings of the Satellite Symposium on Muscular Dystrophy Research 90, Venice, Italy, 14-15 September 1990, held in conjunction with the VIIth International Congress on Neuromuscular Diseases, Munich, Germany, 16-22 September 1990.1 indexed citations
Angelini, C., et al.. (1984). Calcium paradox phenomenon in mammalian muscle. An experimental model for the study of pathogenesis of opaque fibers. The Italian Journal of Neurological Sciences. 5. 111–115.2 indexed citations
19.
Angelini, C., et al.. (1984). Italian multicenter therapeutic trials in Duchenne dystrophy. I. Protocol. The Italian Journal of Neurological Sciences. 5. 137–142.6 indexed citations
20.
Trevisan, C., et al.. (1975). Progressive supranuclear palsy: report of two cases (author's transl).. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 96(3). 159–65.1 indexed citations
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.