Marta Biagioli
- Molecular Biology top 5%
- Cancer Research top 2%
- Cellular and Molecular Neuroscience top 5%
- Health, Toxicology and Mutagenesis top 5%
- Genetics top 10%
- Co-authors
- Stefano GustincichIsidró FerrerS. ZucchelliWim WätjenDetmar BeyersmannClaudio SantoroPiero CarninciLicio Collavin
- Topics
- RNA Research and Splicing (9 papers)Genetic Neurodegenerative Diseases (8 papers)Mitochondrial Function and Pathology (6 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marta Biagioli
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.5k
- Cancer Research 753
- Cellular and Molecular Neuroscience 282
- Health, Toxicology and Mutagenesis 267
- Genetics 238
Countries citing papers authored by Marta Biagioli
This map shows the geographic impact of Marta Biagioli'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 Marta Biagioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Biagioli more than expected).
Fields of papers citing papers by Marta Biagioli
This network shows the impact of papers produced by Marta Biagioli. 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 Marta Biagioli. The network helps show where Marta Biagioli may publish in the future.
Co-authorship network of co-authors of Marta Biagioli
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Biagioli. A scholar is included among the top collaborators of Marta Biagioli 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 Marta Biagioli. Marta Biagioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 26 | |
| 8 | 44 | |
| 9 | 84 | |
| 10 | Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeatbreakdown → | 783 |
| 11 | 53 | |
| 12 | 24 | |
| 13 | 76 | |
| 14 | 37 | |
| 15 | 47 | |
| 16 | 150 | |
| 17 | 6 | |
| 18 | 129 | |
| 19 | 72 | |
| 20 | 30 |
About Marta Biagioli
Marta Biagioli is a scholar working on Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis and Cancer Research, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Genetic Neurodegenerative Diseases (8 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Cancer Research (753 citations), Molecular Biology (1.5k citations) and Health, Toxicology and Mutagenesis (267 citations). Marta Biagioli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Stefano Gustincich, Isidró Ferrer, S. Zucchelli, Wim Wätjen, Detmar Beyersmann, Claudio Santoro, Piero Carninci, Licio Collavin, Stefania Fedele and Laura Cimatti. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.