Enza Lonardo
- Oncology top 2%
- Cancer Cells and Metastasis 16
- Pancreatic and Hepatic Oncology Research 14
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 4
- Molecular Biology top 5%
- Hedgehog Signaling Pathway Studies 3
- Congenital heart defects research 3
- Metabolism, Diabetes, and Cancer 3
- Immunology top 10%
- Pathology and Forensic Medicine top 10%
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- Nanoparticle-Based Drug Delivery 3
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- 3D Printing in Biomedical Research 3
- Co-authors
- Christopher HeeschenEduard BatlleAlexandre CalonDaniele V. F. TaurielloPatrick HermannMarta SevillanoManuel HidalgoXavier Hernando‐Momblona
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)Nature Genetics (1 paper)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Enza Lonardo
36 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 1.5k
- Cancer Research 666
- Molecular Biology 1.4k
- Immunology 290
- Pathology and Forensic Medicine 219
Countries citing papers authored by Enza Lonardo
This map shows the geographic impact of Enza Lonardo'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 Enza Lonardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enza Lonardo more than expected).
Fields of papers citing papers by Enza Lonardo
This network shows the impact of papers produced by Enza Lonardo. 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 Enza Lonardo. The network helps show where Enza Lonardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Enza Lonardo, 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 | 2026 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 19 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 57 | |
| 7 | 2016 | 54 | |
| 8 | Stromal gene expression defines poor-prognosis subtypes in colorectal cancerbreakdown → | 2015 | 775 |
| 9 | 2015 | 120 | |
| 10 | 2015 | 22 | |
| 11 | 2015 | 3 | |
| 12 | 2013 | 140 | |
| 13 | 2012 | 15 | |
| 14 | 2012 | 146 | |
| 15 | 2010 | 71 | |
| 16 | 2009 | 80 | |
| 17 | 2009 | 47 | |
| 18 | 2009 | 42 | |
| 19 | 2008 | 66 | |
| 20 | A versatile method for differentiation of multiple neuronal subtypes from mouse embryonic stem cells | 2006 | 5 |
About Enza Lonardo
Enza Lonardo is a scholar working on Oncology, Cancer Research and Biophysics, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (16 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Congenital heart defects research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), 3D Printing in Biomedical Research (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (666 citations) and Molecular Biology (1.4k citations). Enza Lonardo has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Christopher Heeschen, Eduard Batlle, Alexandre Calon, Daniele V. F. Tauriello, Patrick Hermann, Marta Sevillano, Manuel Hidalgo, Xavier Hernando‐Momblona, Irene Miranda‐Lorenzo and Anamaria Balic. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature 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.