Mattia D’Antonio

698 total citations
25 papers, 497 citations indexed

About

Mattia D’Antonio is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Mattia D’Antonio has authored 25 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Mattia D’Antonio's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (8 papers) and RNA modifications and cancer (7 papers). Mattia D’Antonio is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (8 papers) and RNA modifications and cancer (7 papers). Mattia D’Antonio collaborates with scholars based in Italy, Malaysia and Australia. Mattia D’Antonio's co-authors include Tiziana Castrignanò, Graziano Pesole, Ernesto Picardi, Paolo D’Onorio De Meo, Anna Maria D’Erchia, Giulio Pavesi, Federico Zambelli, Matteo Pallocca, Carmela Gissi and Matteo Giulietti and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Mattia D’Antonio

23 papers receiving 488 citations

Peers

Mattia D’Antonio
Comparison fields: 5 of 84
  • Molecular Biology 397
  • Cancer Research 94
  • Genetics 79
  • Ecology 48
  • Plant Science 25
Replace Pan Chen with:
Pan Chen China
Guorui Zhang China
Ara Cho South Korea
Carolyn Teragawa United States
Sumin Oh South Korea
Angela Cordella Italy
Catriona Munro United States
Kimberly Robasky United States
Hu Nie China
Karl‐Heinz Glatting Germany
Pan Chen China View profile →
Citations per field, relative to Mattia D’Antonio
Mattia D’Antonio · 1×
Citations per year, relative to Mattia D’Antonio
Mattia D’Antonio · 1×

Countries citing papers authored by Mattia D’Antonio

Since Specialization
Citations

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

Fields of papers citing papers by Mattia D’Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mattia D’Antonio. 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 Mattia D’Antonio. The network helps show where Mattia D’Antonio may publish in the future.

Co-authorship network of co-authors of Mattia D’Antonio

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia D’Antonio. A scholar is included among the top collaborators of Mattia D’Antonio 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 Mattia D’Antonio. Mattia D’Antonio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 26
6 16
7 4
8 58
9 2
10 6
11 3
12 41
13 109
14 6
15 42
16 26
17 37
18 39
19 0
20 33

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026