Fabrizio Loreni
Impact in
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- Cancer-related gene regulation
- RNA regulation and disease
- CRISPR and Genetic Engineering
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA and protein synthesis mechanisms 25
- RNA modifications and cancer 22
- RNA Research and Splicing 21
- PI3K/AKT/mTOR signaling in cancer 8
- Cancer-related gene regulation 6
-
- Complement system in diseases 4
- Co-authors
- Francesco AmaldiSara CaldarolaDror AvniOded MeyuhasIrma DianzaniValentina IadevaiaPaola Pierandrei‐AmaldiStefano Biffo
- Journals
- Molecular and Cellular Biology (6 papers)Nucleic Acids Research (5 papers)Gene (5 papers)Oncotarget (4 papers)Scientific Reports (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Fabrizio Loreni
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.7k
- Cancer Research 192
- Oncology 248
- Cell Biology 142
- Neurology 100
Countries citing papers authored by Fabrizio Loreni
This map shows the geographic impact of Fabrizio Loreni'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 Fabrizio Loreni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Loreni more than expected).
Fields of papers citing papers by Fabrizio Loreni
This network shows the impact of papers produced by Fabrizio Loreni. 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 Fabrizio Loreni. The network helps show where Fabrizio Loreni may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabrizio Loreni, 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 | 2016 | 25 | |
| 2 | 2014 | 27 | |
| 3 | 2014 | 35 | |
| 4 | 2011 | 21 | |
| 5 | 2010 | 16 | |
| 6 | 2008 | 86 | |
| 7 | 2008 | 99 | |
| 8 | 2007 | 47 | |
| 9 | 2006 | 44 | |
| 10 | 2005 | 39 | |
| 11 | 2004 | 13 | |
| 12 | 2004 | 35 | |
| 13 | 2004 | 30 | |
| 14 | 2002 | 45 | |
| 15 | 2002 | 4 | |
| 16 | 1996 | 9 | |
| 17 | 1994 | 30 | |
| 18 | 1994 | 26 | |
| 19 | 1992 | 11 | |
| 20 | 1992 | 53 |
About Fabrizio Loreni
Fabrizio Loreni is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Oncology and Cell Biology, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (25 papers), RNA modifications and cancer (22 papers), RNA Research and Splicing (21 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Peptidase Inhibition and Analysis (6 papers), Cancer-related gene regulation (6 papers), Complement system in diseases (4 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cancer Research (192 citations), Oncology (248 citations), Cell Biology (142 citations) and Neurology (100 citations). Fabrizio Loreni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Amaldi, Sara Caldarola, Dror Avni, Oded Meyuhas, Irma Dianzani, Valentina Iadevaia, Paola Pierandrei‐Amaldi, Stefano Biffo, Irene Bozzoni and Jeffrey B. Stavenhagen. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, Gene, Oncotarget and Scientific 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.