Mattia Conte

1.3k total citations · 1 hit paper
29 papers, 713 citations indexed

About

Mattia Conte is a scholar working on Molecular Biology, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Mattia Conte has authored 29 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Plant Science and 1 paper in Animal Science and Zoology. Recurrent topics in Mattia Conte's work include Genomics and Chromatin Dynamics (28 papers), RNA Research and Splicing (20 papers) and RNA and protein synthesis mechanisms (12 papers). Mattia Conte is often cited by papers focused on Genomics and Chromatin Dynamics (28 papers), RNA Research and Splicing (20 papers) and RNA and protein synthesis mechanisms (12 papers). Mattia Conte collaborates with scholars based in Italy, Germany and United States. Mattia Conte's co-authors include Simona Bianco, Mario Nicodemi, Andrea M. Chiariello, Andrea Esposito, Luca Fiorillo, Bing Ren, Francesco Musella, Ming Hu, Rong Hu and Miao Yu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Mattia Conte

27 papers receiving 711 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation

2021 184 citations Naoki Kubo, Haruhiko Ishii et al. Nature Structural & Molecular Biology profile →

Peers

Mattia Conte

MB

PS

GENET

CR

IMMUN

Sameer Abraham United States

Rippei Hayashi Australia

Elena Slobodyanyuk United States

Rieke Kempfer Germany

Adam Buckle United Kingdom

Namjin Cho South Korea

Marlies E. Oomen United States

Eri Sakota Japan

Qiangwei Zhou China

Simon Zhongyuan Tian China

Sameer Abraham United States

Mattia Conte

508 ×0.7

MB

178 ×1.1

PS

62 ×0.8

GENET

34 ×1.3

CR

21 ×1.0

IMMUN

Citations per year, relative to Mattia Conte Mattia Conte (= 1×) peers Sameer Abraham

Countries citing papers authored by Mattia Conte

Since Specialization

Citations

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

Fields of papers citing papers by Mattia Conte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Conte

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fontana, Andrea, Simona Bianco, Andrea Esposito, et al.. (2025). Loss of structural specificity in 3D genome organization upon viral infection is predicted by polymer physics. The Journal of Chemical Physics. 162(1). 3 indexed citations

2.

Fontana, Andrea, et al.. (2025). Polymer models of chromatin organization in virally infected cells. Biochemical Society Transactions. 53(1). 249–258. 1 indexed citations

3.

Conte, Mattia, Andrea Esposito, Liyan Yang, et al.. (2024). Polymer Physics Models Reveal Structural Folding Features of Single-Molecule Gene Chromatin Conformations. International Journal of Molecular Sciences. 25(18). 10215–10215. 1 indexed citations

4.

Chiariello, Andrea M., Simona Bianco, Andrea Esposito, et al.. (2024). Multiscale modelling of chromatin 4D organization in SARS-CoV-2 infected cells. Nature Communications. 15(1). 4014–4014. 11 indexed citations

5.

Chiariello, Andrea M., Andrea Esposito, Mattia Conte, et al.. (2024). A Multiscale Perspective on Chromatin Architecture through Polymer Physics. Physiology. 40(3). 291–300.

6.

Conte, Mattia, et al.. (2023). Physics-Based Polymer Models to Probe Chromosome Structure in Single Molecules. Methods in molecular biology. 2655. 57–66. 2 indexed citations

7.

Conte, Mattia, et al.. (2023). Unveiling the Machinery behind Chromosome Folding by Polymer Physics Modeling. International Journal of Molecular Sciences. 24(4). 3660–3660. 4 indexed citations

8.

Conte, Mattia, Ehsan Irani, Andrea M. Chiariello, et al.. (2022). Loop-extrusion and polymer phase-separation can co-exist at the single-molecule level to shape chromatin folding. Nature Communications. 13(1). 4070–4070. 59 indexed citations

9.

Esposito, Andrea, et al.. (2022). The Physics of DNA Folding: Polymer Models and Phase-Separation. Polymers. 14(9). 1918–1918. 10 indexed citations

10.

Esposito, Andrea, Simona Bianco, Andrea M. Chiariello, et al.. (2022). Polymer physics reveals a combinatorial code linking 3D chromatin architecture to 1D chromatin states. Cell Reports. 38(13). 110601–110601. 27 indexed citations

11.

Qi, Yifeng, Marco Di Stefano, Andrea Esposito, et al.. (2022). 3DGenBench: a web-server to benchmark computational models for 3D Genomics. Nucleic Acids Research. 50(W1). W4–W12. 10 indexed citations

12.

Huang, Hui, Quan Zhu, Yuanyuan Han, et al.. (2021). CTCF mediates dosage- and sequence-context-dependent transcriptional insulation by forming local chromatin domains. Nature Genetics. 53(7). 1064–1074. 104 indexed citations

13.

Kubo, Naoki, Haruhiko Ishii, Xiong Xiong, et al.. (2021). Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation. Nature Structural & Molecular Biology. 28(2). 152–161. 184 indexed citations breakdown →

14.

Conte, Mattia, Luca Fiorillo, Carlo Annunziatella, et al.. (2021). Dynamic and equilibrium properties of finite-size polymer models of chromosome folding. Physical review. E. 104(5). 54402–54402. 8 indexed citations

15.

Fiorillo, Luca, Francesco Musella, Mattia Conte, et al.. (2021). Comparison of the Hi-C, GAM and SPRITE methods using polymer models of chromatin. Nature Methods. 18(5). 482–490. 37 indexed citations

16.

Conte, Mattia, Luca Fiorillo, Simona Bianco, et al.. (2020). Polymer physics indicates chromatin folding variability across single-cells results from state degeneracy in phase separation. Nature Communications. 11(1). 3289–3289. 83 indexed citations

17.

Serio, Simone, Simona Bianco, Christina Pagiatakis, et al.. (2020). Divergent Transcription of the Nkx2-5 Locus Generates Two Enhancer RNAs with Opposing Functions. iScience. 23(9). 101539–101539. 11 indexed citations

18.

Bianco, Simona, Andrea M. Chiariello, Mattia Conte, et al.. (2020). Computational approaches from polymer physics to investigate chromatin folding. Current Opinion in Cell Biology. 64. 10–17. 32 indexed citations

19.

Bianco, Simona, Carlo Annunziatella, Guillaume Andrey, et al.. (2019). Modeling Single-Molecule Conformations of the HoxD Region in Mouse Embryonic Stem and Cortical Neuronal Cells. Cell Reports. 28(6). 1574–1583.e4. 17 indexed citations

20.

Fiorillo, Luca, Simona Bianco, Andrea M. Chiariello, et al.. (2019). Inference of chromosome 3D structures from GAM data by a physics computational approach. Methods. 181-182. 70–79. 10 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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