Matteo D’Antonio
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
Papers in
-
- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 5
- Bioinformatics and Genomic Networks 5
- RNA modifications and cancer 5
- Pluripotent Stem Cells Research 4
- Genomics and Phylogenetic Studies 4
- Genetics 9
- Genetic Associations and Epidemiology 5
- Co-authors
- Kelly A. Frazer (23 shared papers)Agnieszka D’Antonio‐Chronowska (16 shared papers)Francesca D. Ciccarelli (6 shared papers)Hiroko Matsui (11 shared papers)Margaret K. R. Donovan (7 shared papers)Erin N. Smith (10 shared papers)David Jakubosky (6 shared papers)William W. Greenwald (7 shared papers)
- Journals
- Nature Communications (7 papers)Cell Reports (3 papers)Stem Cell Reports (3 papers)Genome biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Matteo D’Antonio
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Cancer Research 178
- Molecular Biology 771
- Genetics 202
- Aging 12
- Genetics 44
Countries citing papers authored by Matteo D’Antonio
This map shows the geographic impact of Matteo 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 Matteo 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 Matteo D’Antonio more than expected).
Fields of papers citing papers by Matteo D’Antonio
This network shows the impact of papers produced by Matteo 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 Matteo D’Antonio. The network helps show where Matteo D’Antonio may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo D’Antonio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2017 | 97 | |
| 3 | 2021 | 90 | |
| 4 | 2019 | 79 | |
| 5 | 2020 | 76 | |
| 6 | 2020 | 58 | |
| 7 | 2017 | 55 | |
| 8 | 2018 | 55 | |
| 9 | 2014 | 46 | |
| 10 | 2011 | 36 | |
| 11 | 2019 | 31 | |
| 12 | 2011 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2019 | 30 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2022 | 28 | |
| 18 | 2013 | 26 | |
| 19 | 2009 | 24 | |
| 20 | 2014 | 21 |
About Matteo D’Antonio
Matteo D’Antonio is a scholar working on Molecular Biology, Genetics, Cancer Research, Ophthalmology and Immunology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Cancer Genomics and Diagnostics (6 papers), RNA Research and Splicing (5 papers), Bioinformatics and Genomic Networks (5 papers), RNA modifications and cancer (5 papers), Genetic Associations and Epidemiology (5 papers), Pluripotent Stem Cells Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (178 citations), Molecular Biology (771 citations), Genetics (202 citations), Aging (12 citations) and Genetics (44 citations). Matteo D’Antonio has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Kelly A. Frazer, Agnieszka D’Antonio‐Chronowska, Francesca D. Ciccarelli, Hiroko Matsui, Margaret K. R. Donovan, Erin N. Smith, David Jakubosky, William W. Greenwald, Paola Benaglio and Christopher DeBoever. Their work appears in journals such as Nature Communications, Cell Reports, Stem Cell Reports, Genome biology and Nucleic Acids Research.
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.