Paola Izzo
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 2%
- Oncology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Marina De RosaFrancesca DuraturoPaola CostanzoFrancesco SalvatoreMichela GrossoAngelo LupoElena CesaroRaffaella Liccardo
- Topics
- Genetic factors in colorectal cancer (37 papers)Colorectal Cancer Treatments and Studies (22 papers)Cancer Genomics and Diagnostics (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Paola Izzo
116 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.3k
- Pathology and Forensic Medicine 551
- Oncology 532
- Cancer Research 513
- Surgery 338
Countries citing papers authored by Paola Izzo
This map shows the geographic impact of Paola 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 Paola Izzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Izzo more than expected).
Fields of papers citing papers by Paola Izzo
This network shows the impact of papers produced by Paola 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 Paola Izzo. The network helps show where Paola Izzo may publish in the future.
Co-authorship network of co-authors of Paola Izzo
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Izzo. A scholar is included among the top collaborators of Paola Izzo 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 Paola Izzo. Paola Izzo 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 | 8 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 60 | |
| 8 | 2 | |
| 9 | Novel variants of unknown significance in the PMS2 gene identified in patients with hereditary colon cancer | 1 |
| 10 | 20 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 27 | |
| 16 | 77 | |
| 17 | 103 | |
| 18 | 3 | |
| 19 | Molecular genetic characterization and prenatal diagnosis in a family with Hunter disease. | 3 |
| 20 | 12 |
About Paola Izzo
Paola Izzo is a scholar working on Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (37 papers), Colorectal Cancer Treatments and Studies (22 papers) and Cancer Genomics and Diagnostics (18 papers). The work is most often cited by research in Cancer Research (513 citations), Pathology and Forensic Medicine (551 citations) and Genetics (256 citations). Paola Izzo has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Marina De Rosa, Francesca Duraturo, Paola Costanzo, Francesco Salvatore, Michela Grosso, Angelo Lupo, Elena Cesaro, Raffaella Liccardo, Paolo Delrio and Daniela Rega. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.