Matteo D’Antonio

2.6k total citations
31 papers, 1.0k citations indexed

About

Matteo D’Antonio is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Matteo D’Antonio has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Matteo D’Antonio's work include Genomics and Chromatin Dynamics (7 papers), Cancer Genomics and Diagnostics (6 papers) and Genetic Associations and Epidemiology (5 papers). Matteo D’Antonio is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Cancer Genomics and Diagnostics (6 papers) and Genetic Associations and Epidemiology (5 papers). Matteo D’Antonio collaborates with scholars based in United States, United Kingdom and Italy. Matteo D’Antonio's co-authors include Kelly A. Frazer, Agnieszka D’Antonio‐Chronowska, Francesca D. Ciccarelli, Hiroko Matsui, Margaret K. R. Donovan, Erin N. Smith, David Jakubosky, Paola Benaglio, William W. Greenwald and Christopher DeBoever and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Matteo D’Antonio

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo D’Antonio United States 20 827 221 201 63 53 31 1.0k
Helene Kretzmer Germany 14 1.2k 1.4× 184 0.8× 149 0.7× 75 1.2× 46 0.9× 29 1.3k
Shan Sabri United States 9 921 1.1× 142 0.6× 116 0.6× 50 0.8× 40 0.8× 11 1.0k
Ivana Barbaric United Kingdom 19 881 1.1× 184 0.8× 82 0.4× 57 0.9× 48 0.9× 41 1.1k
Kelly P. Smith United States 17 1.1k 1.3× 203 0.9× 91 0.5× 63 1.0× 47 0.9× 26 1.2k
Constantinos Chronis United States 18 1.6k 2.0× 280 1.3× 243 1.2× 88 1.4× 84 1.6× 27 1.9k
Nicola Festuccia France 17 1.3k 1.6× 238 1.1× 90 0.4× 49 0.8× 47 0.9× 20 1.4k
Ryan A. Pak United States 6 1.1k 1.4× 140 0.6× 147 0.7× 94 1.5× 106 2.0× 6 1.3k
Maura H. Parker United States 11 1.0k 1.2× 170 0.8× 108 0.5× 107 1.7× 50 0.9× 20 1.2k
Shila Mekhoubad United States 5 1.2k 1.4× 356 1.6× 80 0.4× 36 0.6× 37 0.7× 5 1.3k
Cristina Gontan Netherlands 11 870 1.1× 368 1.7× 160 0.8× 99 1.6× 30 0.6× 17 1.1k

Countries citing papers authored by Matteo D’Antonio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matteo D’Antonio

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo D’Antonio. A scholar is included among the top collaborators of Matteo 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 Matteo D’Antonio. Matteo 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
1.
D’Antonio, Matteo, Windell L. Rivera, Robert A. Greenes, Melissa Gymrek, & Kelly A. Frazer. (2025). A highly accurate risk factor-based XGBoost multiethnic model for identifying patients with skin cancer. Nature Communications. 16(1). 9542–9542.
2.
D’Antonio, Matteo, Timothy D. Arthur, Windell L. Rivera, et al.. (2025). Genetic analysis of elevated levels of creatinine and cystatin C biomarkers reveals novel genetic loci associated with kidney function. Human Molecular Genetics. 34(9). 751–764.
3.
Arthur, Timothy D., et al.. (2025). IFNγ activates an immune-like regulatory network in the cardiac vascular endothelium. PubMed. 11. 100289–100289.
4.
Rajagopalan, Ramya, Matteo D’Antonio, & Joan H. Fujimura. (2024). Enhancing Equity in Genomics: Incorporating Measures of Structural Racism, Discrimination, and Social Determinants of Health. The Hastings Center Report. 54(S2). S31–S40. 1 indexed citations
5.
Williams, Amy L., et al.. (2023). Haptools: a toolkit for admixture and haplotype analysis. Bioinformatics. 39(3). 2 indexed citations
6.
Oh, Soohwan, Jiaofang Shao, Joydeep Mitra, et al.. (2021). Enhancer release and retargeting activates disease-susceptibility genes. Nature. 595(7869). 735–740. 85 indexed citations
7.
Donovan, Margaret K. R., Agnieszka D’Antonio‐Chronowska, Matteo D’Antonio, & Kelly A. Frazer. (2020). Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants. Nature Communications. 11(1). 955–955. 76 indexed citations
8.
Jakubosky, David, Matteo D’Antonio, Marc Jan Bonder, et al.. (2020). Properties of structural variants and short tandem repeats associated with gene expression and complex traits. Nature Communications. 11(1). 2927–2927. 57 indexed citations
9.
Jakubosky, David, Erin N. Smith, Matteo D’Antonio, et al.. (2020). Discovery and quality analysis of a comprehensive set of structural variants and short tandem repeats. Nature Communications. 11(1). 2928–2928. 18 indexed citations
10.
Benaglio, Paola, Agnieszka D’Antonio‐Chronowska, Wubin Ma, et al.. (2019). Allele-specific NKX2-5 binding underlies multiple genetic associations with human electrocardiographic traits. Nature Genetics. 51(10). 1506–1517. 30 indexed citations
11.
D’Antonio, Matteo, Joaquin Reyna, David Jakubosky, et al.. (2019). Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease. University of Groningen research database (University of Groningen / Centre for Information Technology). 28 indexed citations
12.
Greenwald, William W., He Li, Paola Benaglio, et al.. (2019). Subtle changes in chromatin loop contact propensity are associated with differential gene regulation and expression. Nature Communications. 10(1). 1054–1054. 77 indexed citations
13.
D’Antonio‐Chronowska, Agnieszka, Margaret K. R. Donovan, William W. Greenwald, et al.. (2019). Association of Human iPSC Gene Signatures and X Chromosome Dosage with Two Distinct Cardiac Differentiation Trajectories. Stem Cell Reports. 13(5). 924–938. 30 indexed citations
14.
D’Antonio, Matteo, Paola Benaglio, David Jakubosky, et al.. (2018). Insights into the Mutational Burden of Human Induced Pluripotent Stem Cells from an Integrative Multi-Omics Approach. Cell Reports. 24(4). 883–894. 54 indexed citations
15.
DeBoever, Christopher, He Li, David Jakubosky, et al.. (2017). Large-Scale Profiling Reveals the Influence of Genetic Variation on Gene Expression in Human Induced Pluripotent Stem Cells. Cell stem cell. 20(4). 533–546.e7. 97 indexed citations
16.
D’Antonio, Matteo, Donate Weghorn, Agnieszka D’Antonio‐Chronowska, et al.. (2017). Identifying DNase I hypersensitive sites as driver distal regulatory elements in breast cancer. Nature Communications. 8(1). 436–436. 18 indexed citations
17.
Benítez, Jorge A., Jianhui Ma, Matteo D’Antonio, et al.. (2017). PTEN regulates glioblastoma oncogenesis through chromatin-associated complexes of DAXX and histone H3.3. Nature Communications. 8(1). 15223–15223. 96 indexed citations
18.
D’Antonio, Matteo, Pablo Tamayo, Jill P. Mesirov, & Kelly A. Frazer. (2016). Kataegis Expression Signature in Breast Cancer Is Associated with Late Onset, Better Prognosis, and Higher HER2 Levels. Cell Reports. 16(3). 672–683. 30 indexed citations
19.
D’Antonio, Matteo, et al.. (2011). Network of Cancer Genes (NCG 3.0): integration and analysis of genetic and network properties of cancer genes. Nucleic Acids Research. 40(D1). D978–D983. 31 indexed citations
20.
Syed, Adnan, Matteo D’Antonio, & Francesca D. Ciccarelli. (2009). Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes. Nucleic Acids Research. 38(suppl_1). D670–D675. 24 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.

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