Marta Moretti
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
Papers in
-
- Hedgehog Signaling Pathway Studies 16
- Ubiquitin and proteasome pathways 2
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- NF-κB Signaling Pathways 4
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Laura Tornatore (4 shared papers)Anil K. Thotakura (4 shared papers)Guido Franzoso (4 shared papers)Jason Bennett (3 shared papers)Enrico De Smaele (21 shared papers)Lucia Di Marcotullio (10 shared papers)Shi Chi Leow (1 shared paper)Claudio Mauro (1 shared paper)
- Journals
- Neoplasia (3 papers)Scientific Reports (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Cell Death and Disease (2 papers)Cell Death Discovery (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marta Moretti
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 273
- Molecular Biology 688
- Genetics 85
- Oncology 165
- Aging 12
Countries citing papers authored by Marta Moretti
This map shows the geographic impact of Marta Moretti'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 Moretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Moretti more than expected).
Fields of papers citing papers by Marta Moretti
This network shows the impact of papers produced by Marta Moretti. 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 Moretti. The network helps show where Marta Moretti may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Moretti, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 392 | |
| 2 | 2011 | 337 | |
| 3 | 2010 | 99 | |
| 4 | 2011 | 84 | |
| 5 | 2020 | 62 | |
| 6 | 2021 | 53 | |
| 7 | 2012 | 51 | |
| 8 | 2020 | 51 | |
| 9 | 2019 | 49 | |
| 10 | 2011 | 48 | |
| 11 | 2019 | 46 | |
| 12 | 2008 | 45 | |
| 13 | 2020 | 45 | |
| 14 | 2017 | 39 | |
| 15 | 2018 | 35 | |
| 16 | 2021 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2023 | 18 | |
| 20 | 2023 | 13 |
About Marta Moretti
Marta Moretti is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Biomaterials, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (16 papers), NF-κB Signaling Pathways (4 papers), Pancreatic and Hepatic Oncology Research (2 papers), Pancreatic function and diabetes (2 papers), Ubiquitin and proteasome pathways (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (273 citations), Molecular Biology (688 citations), Genetics (85 citations), Oncology (165 citations) and Aging (12 citations). Marta Moretti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Laura Tornatore, Anil K. Thotakura, Guido Franzoso, Jason Bennett, Enrico De Smaele, Lucia Di Marcotullio, Shi Chi Leow, Claudio Mauro, Amer A. Beg and Elena Ansó. Their work appears in journals such as Neoplasia, Scientific Reports, Frontiers in Cell and Developmental Biology, Cell Death and Disease and Cell Death Discovery.
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.