Franco Izzo
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in
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- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Ruud H. Geerse (1 shared paper)P. W. Postma (1 shared paper)Dan A. Landau (11 shared papers)Cecilia J. Proietti (7 shared papers)Patricia V. Elizalde (7 shared papers)Walter Grassi (1 shared paper)Patrizia Del Medico (1 shared paper)C Cervini (1 shared paper)
- Journals
- Blood (4 papers)Cell Reports (3 papers)Oncogene (2 papers)Nature Genetics (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesArgentinaChile
In The Last Decade
Franco Izzo
23 papers receiving 752 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 208
- Molecular Biology 526
- Hematology 84
- Oncology 127
- Pathology and Forensic Medicine 80
Countries citing papers authored by Franco Izzo
This map shows the geographic impact of Franco Izzo'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 Franco Izzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franco Izzo more than expected).
Fields of papers citing papers by Franco Izzo
This network shows the impact of papers produced by Franco Izzo. 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 Franco Izzo. The network helps show where Franco Izzo may publish in the future.
Co-authors
The 25 scholars most cited alongside Franco Izzo, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 1989 | 95 | |
| 3 | 2016 | 74 | |
| 4 | 2020 | 72 | |
| 5 | 2001 | 71 | |
| 6 | 2022 | 59 | |
| 7 | 2015 | 51 | |
| 8 | 2022 | 39 | |
| 9 | 2020 | 36 | |
| 10 | 2014 | 27 | |
| 11 | 2019 | 24 | |
| 12 | 2012 | 22 | |
| 13 | 2012 | 20 | |
| 14 | 2023 | 14 | |
| 15 | 2015 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2016 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2017 | 1 |
About Franco Izzo
Franco Izzo is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Genetics, having authored 25 papers that have together received 760 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Single-cell and spatial transcriptomics (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), HER2/EGFR in Cancer Research (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (208 citations), Molecular Biology (526 citations), Hematology (84 citations), Oncology (127 citations) and Pathology and Forensic Medicine (80 citations). Franco Izzo has collaborated with scholars based in United States, Argentina and Chile. Frequent co-authors include Ruud H. Geerse, P. W. Postma, Dan A. Landau, Cecilia J. Proietti, Patricia V. Elizalde, Walter Grassi, Patrizia Del Medico, C Cervini, Roxana Schillaci and Robert M. Myers. Their work appears in journals such as Blood, Cell Reports, Oncogene, Nature Genetics and Journal of Hepatology.
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.