Matteo Cereda
Impact in
Papers in
-
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 2
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- Cancer Genomics and Diagnostics 7
- Cancer-related molecular mechanisms research 3
- Co-authors
- Jernej Ule (2 shared papers)Gregor Rot (2 shared papers)Blaž Zupan (1 shared paper)Boris Rogelj (1 shared paper)Michael Briese (1 shared paper)Vera Župunski (1 shared paper)Tibor Hortobágyi (1 shared paper)Rickie Patani (1 shared paper)
- Journals
- Bioinformatics (2 papers)Genome biology (2 papers)International Journal of Molecular Sciences (2 papers)BMC Evolutionary Biology (2 papers)Cell Reports (2 papers)
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Matteo Cereda
25 papers receiving 1.4k citations
Matteo Cereda's Hit Papers
Peers
Comparison fields: 5 of 92
- Neurology 534
- Genetics 369
- Cancer Research 239
- Molecular Biology 994
- Neurology 62
Countries citing papers authored by Matteo Cereda
This map shows the geographic impact of Matteo Cereda'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 Cereda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Cereda more than expected).
Fields of papers citing papers by Matteo Cereda
This network shows the impact of papers produced by Matteo Cereda. 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 Cereda. The network helps show where Matteo Cereda may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Cereda, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Characterizing the RNA targets and position-dependent splicing regulation by TDP-43 Hit paper breakdown → | 2011 | 897 |
| 2 | 2019 | 82 | |
| 3 | 2017 | 50 | |
| 4 | 2016 | 44 | |
| 5 | 2008 | 42 | |
| 6 | 2014 | 38 | |
| 7 | 2022 | 31 | |
| 8 | 2006 | 30 | |
| 9 | 2011 | 29 | |
| 10 | 2023 | 29 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 23 | |
| 13 | 2011 | 19 | |
| 14 | 2021 | 16 | |
| 15 | 2016 | 16 | |
| 16 | 2013 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2009 | 12 | |
| 20 | 2024 | 11 |
About Matteo Cereda
Matteo Cereda is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Sarcoma Diagnosis and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Neurology (534 citations), Genetics (369 citations), Cancer Research (239 citations), Molecular Biology (994 citations) and Neurology (62 citations). Matteo Cereda has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Jernej Ule, Gregor Rot, Blaž Zupan, Boris Rogelj, Michael Briese, Vera Župunski, Tibor Hortobágyi, Rickie Patani, Christopher E. Shaw and Agnes L. Nishimura. Their work appears in journals such as Bioinformatics, Genome biology, International Journal of Molecular Sciences, BMC Evolutionary Biology 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.