Matteo Berti
Impact in
- Oncology top 2%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Molecular Biology top 5%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Cancer therapeutics and mechanisms
Papers in
-
- DNA Repair Mechanisms 12
- CRISPR and Genetic Engineering 5
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Cancer therapeutics and mechanisms 2
- Oncology 8
- PARP inhibition in cancer therapy 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Massimo Lopes (8 shared papers)Alessandro Vindigni (6 shared papers)Ralph Zellweger (4 shared papers)Karun Mutreja (3 shared papers)David Cortez (1 shared paper)Jonas Schmid (3 shared papers)Raquel Herrador (1 shared paper)Damian Dalcher (1 shared paper)
- Journals
- Nature Communications (3 papers)The Journal of Cell Biology (3 papers)Nature Structural & Molecular Biology (2 papers)Molecular Cell (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Matteo Berti
13 papers receiving 2.3k citations
Matteo Berti's Hit Papers
Peers
Comparison fields: 5 of 60
- Oncology 858
- Molecular Biology 2.2k
- Cancer Research 294
- Cell Biology 259
- Structural Biology 14
Countries citing papers authored by Matteo Berti
This map shows the geographic impact of Matteo Berti'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 Berti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Berti more than expected).
Fields of papers citing papers by Matteo Berti
This network shows the impact of papers produced by Matteo Berti. 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 Berti. The network helps show where Matteo Berti may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Berti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Rad51-mediated replication fork reversal is a global response to genotoxic treatments in human cells Hit paper breakdown → | 2015 | 532 |
| 2 | 2013 | 377 | |
| 3 | 2017 | 289 | |
| 4 | 2015 | 282 | |
| 5 | 2020 | 246 | |
| 6 | 2016 | 195 | |
| 7 | 2018 | 101 | |
| 8 | 2018 | 78 | |
| 9 | 2020 | 71 | |
| 10 | 2015 | 49 | |
| 11 | 2011 | 48 | |
| 12 | 2017 | 38 | |
| 13 | 2019 | 15 |
About Matteo Berti
Matteo Berti is a scholar working on Molecular Biology, Oncology, Cell Biology, Plant Science and Cancer Research, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), PARP inhibition in cancer therapy (5 papers), CRISPR and Genetic Engineering (5 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer therapeutics and mechanisms (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (858 citations), Molecular Biology (2.2k citations), Cancer Research (294 citations), Cell Biology (259 citations) and Structural Biology (14 citations). Matteo Berti has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Massimo Lopes, Alessandro Vindigni, Ralph Zellweger, Karun Mutreja, David Cortez, Jonas Schmid, Raquel Herrador, Damian Dalcher, Sebastian Ursich and Arnab Ray Chaudhuri. Their work appears in journals such as Nature Communications, The Journal of Cell Biology, Nature Structural & Molecular Biology, Molecular Cell and Cell Reports.
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.