Luisa Izzi
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Developmental Neuroscience top 10%
Papers in
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- TGF-β signaling in diseases 4
- Ubiquitin and proteasome pathways 3
- Hedgehog Signaling Pathway Studies 3
- Epigenetics and DNA Methylation 3
- Glycosylation and Glycoproteins Research 2
- Cancer-related gene regulation 2
- Developmental Biology and Gene Regulation 2
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Liliana Attisano (8 shared papers)Frédéric Charron (4 shared papers)Andrew P. McMahon (2 shared papers)Benjamin L. Allen (2 shared papers)Robert S. Krauss (2 shared papers)Nicole Beauchemin (3 shared papers)Tilo Kunath (2 shared papers)Caroline Houde (2 shared papers)
- Journals
- Developmental Cell (5 papers)Oncogene (2 papers)Neoplasia (1 paper)Molecular Cancer Therapeutics (1 paper)Clinical Genetics (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Luisa Izzi
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Immunology and Allergy 96
- Developmental Neuroscience 62
- Molecular Biology 974
- Oncology 227
- Genetics 78
Countries citing papers authored by Luisa Izzi
This map shows the geographic impact of Luisa Izzi'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 Luisa Izzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Izzi more than expected).
Fields of papers citing papers by Luisa Izzi
This network shows the impact of papers produced by Luisa Izzi. 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 Luisa Izzi. The network helps show where Luisa Izzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Izzi, 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 | 2004 | 228 | |
| 2 | 2011 | 224 | |
| 3 | 2011 | 192 | |
| 4 | 1999 | 152 | |
| 5 | 2001 | 82 | |
| 6 | 1999 | 79 | |
| 7 | 2019 | 69 | |
| 8 | 2006 | 53 | |
| 9 | 2008 | 50 | |
| 10 | 2014 | 44 | |
| 11 | 2011 | 40 | |
| 12 | 2007 | 33 | |
| 13 | 1999 | 31 | |
| 14 | 2019 | 20 | |
| 15 | 2008 | 4 | |
| 16 | 2008 | 2 | |
| 17 | 2018 | 1 | |
| 18 | Ubiquitin-Dependent Regulation of TGFB Signaling in Cancer1 | 2014 | 0 |
About Luisa Izzi
Luisa Izzi is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related gene regulation (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Immunology and Allergy (96 citations), Developmental Neuroscience (62 citations), Molecular Biology (974 citations), Oncology (227 citations) and Genetics (78 citations). Luisa Izzi has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Liliana Attisano, Frédéric Charron, Andrew P. McMahon, Benjamin L. Allen, Robert S. Krauss, Nicole Beauchemin, Tilo Kunath, Caroline Houde, Cristoforo Silvestri and Jong-Sun Kang. Their work appears in journals such as Developmental Cell, Oncogene, Neoplasia, Molecular Cancer Therapeutics and Clinical Genetics.
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.