Daniela Toniolo

30.6k citations
139 papers · 8.6k indexed · 3 hit papers · h-index 47

Daniela Toniolo

137 papers receiving 8.4k citations

Hit Papers

Mutations in the gene encoding lamin A/C cause autosomal ...1.0k19942026200420152505007501000

Peers

Daniela Toniolo
Comparison fields: 5 of 134
  • Genetics 2.4k
  • Molecular Biology 5.6k
  • Genetics 772
  • Cell Biology 828
  • Reproductive Medicine 391
Replace P. Pearson with:
P. Pearson Netherlands
Niklas Dahl Sweden
Robert S. Sparkes United States
Jeanne Amiel France
Fowzan S. Alkuraya Saudi Arabia
Hossein Najmabadi Iran
Orsetta Zuffardi Italy
Brunella Franco Italy
Susan L. Naylor United States
G.A.P. Bruns United States
Daniela Toniolo relative to P. Pearson Netherlands P. Pearson's profile →
Citations per field
00.5×3.9×
P. Pearson · 1×
Citations per year

Countries citing papers authored by Daniela Toniolo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Toniolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201925
2 201913
3 201617
4 20112
5 201179
6 200928
7 200859
8 200741
9 200692
10 200387
11 20005
12 20008
13
Mutations in the gene encoding lamin A/C cause autosomal dominant Emery-Dreifuss muscular dystrophybreakdown →
19991032
14 199898
15 1997100
16 19962
17 199616
18 199416
19 199111
20 199138

About Daniela Toniolo

Daniela Toniolo is a scholar working on Genetics, Genetics and Molecular Biology, having authored 139 papers that have together received 8.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (24 papers), RNA Research and Splicing (24 papers), Nuclear Structure and Function (23 papers), Neonatal Health and Biochemistry (16 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers), RNA regulation and disease (13 papers), RNA modifications and cancer (11 papers) and Reproductive Biology and Fertility (10 papers). The work is most often cited by research in Genetics (2.4k citations), Molecular Biology (5.6k citations) and Genetics (772 citations). Daniela Toniolo has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Silvia Bione, Elena Maestrini, Patrizia D’Adamo, Luciano Merlini, Ági K. Gedeon, Stefano Rivella, Cinzia Sala, Pieter A. Bolhuis, Mita Mancini and Gisèle Bonne. Their work appears in journals such as Genomics, Blood, Proceedings of the National Academy of Sciences, PLoS ONE and Human Reproduction.

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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