Raffaella Casadei

1.8k citations
35 papers · 1.2k indexed · 1 hit paper · h-index 14
    • RNA and protein synthesis mechanisms 6
    • RNA Research and Splicing 6
    • Molecular Biology Techniques and Applications 5
    • RNA regulation and disease 4
    • Signaling Pathways in Disease 4
    • Machine Learning in Bioinformatics 3
    • Genomics and Phylogenetic Studies 3
    • Gene expression and cancer classification 3

Raffaella Casadei

35 papers receiving 1.1k citations

Hit Papers

An estimation of the number of cells in the human body6012013202620172021200400600

Peers

Raffaella Casadei
Comparison fields: 5 of 145
  • Molecular Biology 647
  • Cancer Research 117
  • Aging 13
  • Immunology 123
  • Genetics 60
Replace Michelle J. Doyle with:
Michelle J. Doyle United States
Federica Facchin Italy
Flavia Frabetti Italy
Silvia Canaider Italy
Oliver Stueker Canada
Andreas Gocht Germany
Maria Chiara Pelleri Italy
Christina B. Pedersen Denmark
Liesbeth H.P. Hekking Netherlands
Austin Hartman United States
Raffaella Casadei relative to Michelle J. Doyle United States Michelle J. Doyle's profile →
Citations per field
00.5×1.5×2.5×
Michelle J. Doyle · 1×
Citations per year

Countries citing papers authored by Raffaella Casadei

Since Specialization
Citations

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

Fields of papers citing papers by Raffaella Casadei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20214
3 20173
4 20146
5 20144
6
An estimation of the number of cells in the human bodybreakdown →
2013601
7 201211
8 201173
9 201112
10 200713
11 20074
12 200613
13 200511
14 200433
15 200315
16 20034
17 200215
18 200215
19 199331
20 199212

About Raffaella Casadei

Raffaella Casadei is a scholar working on Molecular Biology, Rheumatology and Genetics, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (6 papers), Molecular Biology Techniques and Applications (5 papers), RNA regulation and disease (4 papers), Signaling Pathways in Disease (4 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Molecular Biology (647 citations), Cancer Research (117 citations) and Aging (13 citations). Raffaella Casadei has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Flavia Frabetti, Silvia Canaider, Federica Facchin, Pierluigi Strippoli, Lorenza Vitale, Maria Chiara Pelleri, Eva Bianconi, Allison Piovesan, Francesco Piva and Simone Tassani. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.

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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