Fabiola Moretti
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 9
- Epigenetics and DNA Methylation 6
- Muscle Physiology and Disorders 4
- Oncology 32
- Cancer-related Molecular Pathways 31
- Co-authors
- Alfredo Pontecorvi (32 shared papers)Ada Sacchi (18 shared papers)Francesca Mancini (18 shared papers)Antonella Farsetti (13 shared papers)Simona Nanni (11 shared papers)Silvia Soddu (7 shared papers)Giusy Di Conza (9 shared papers)Andrea Prodosmo (4 shared papers)
- Journals
- Oncogene (4 papers)Journal of Clinical Investigation (4 papers)Journal of Chromatography A (3 papers)Cell Death Discovery (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Fabiola Moretti
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Oncology 624
- Cancer Research 232
- Biotechnology 138
- Aging 27
- Molecular Biology 1.0k
Countries citing papers authored by Fabiola Moretti
This map shows the geographic impact of Fabiola 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 Fabiola Moretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabiola Moretti more than expected).
Fields of papers citing papers by Fabiola Moretti
This network shows the impact of papers produced by Fabiola 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 Fabiola Moretti. The network helps show where Fabiola Moretti may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabiola 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 149 | |
| 2 | 1997 | 124 | |
| 3 | 2017 | 100 | |
| 4 | 2006 | 83 | |
| 5 | 2008 | 79 | |
| 6 | 2002 | 77 | |
| 7 | 2005 | 72 | |
| 8 | 2009 | 67 | |
| 9 | 2002 | 67 | |
| 10 | 2006 | 56 | |
| 11 | 2017 | 54 | |
| 12 | 2008 | 51 | |
| 13 | 2016 | 48 | |
| 14 | 2005 | 47 | |
| 15 | 2000 | 45 | |
| 16 | 2009 | 37 | |
| 17 | 2015 | 34 | |
| 18 | 2004 | 34 | |
| 19 | 2021 | 33 | |
| 20 | 2009 | 32 |
About Fabiola Moretti
Fabiola Moretti is a scholar working on Molecular Biology, Oncology, Biotechnology, Genetics and Physiology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (31 papers), Cancer Research and Treatments (10 papers), Ubiquitin and proteasome pathways (9 papers), Epigenetics and DNA Methylation (6 papers), Estrogen and related hormone effects (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Muscle Physiology and Disorders (4 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Oncology (624 citations), Cancer Research (232 citations), Biotechnology (138 citations), Aging (27 citations) and Molecular Biology (1.0k citations). Fabiola Moretti has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Alfredo Pontecorvi, Ada Sacchi, Francesca Mancini, Antonella Farsetti, Simona Nanni, Silvia Soddu, Giusy Di Conza, Andrea Prodosmo, Annalisa Grasselli and Cinzia Rinaldo. Their work appears in journals such as Oncogene, Journal of Clinical Investigation, Journal of Chromatography A, Cell Death Discovery and Journal of Experimental & Clinical Cancer Research.
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.