Silvia Giordano
- Hepatology top 0.1%
- Liver physiology and pathology 58
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 17
- MicroRNA in disease regulation 14
- Oncology top 0.5%
- HER2/EGFR in Cancer Research 13
- Molecular Biology top 0.5%
- PI3K/AKT/mTOR signaling in cancer 35
- Protein Kinase Regulation and GTPase Signaling 12
- Cell Biology top 0.5%
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- Lung Cancer Treatments and Mutations 12
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- Cancer Mechanisms and Therapy 12
- Co-authors
- Paolo M. ComoglioSimona CorsoAmedeo ColumbanoAnnalisa PetrelliMaria Flavia Di RenzoCarola PonzettoLivio TrusolinoPaolo Michieli
- Cited by
- HepatologyCancer ResearchOncology
- Partner nations
- ItalyUnited StatesBelarus
In The Last Decade
Silvia Giordano
185 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Hepatology 5.2k
- Cancer Research 3.0k
- Oncology 3.9k
- Molecular Biology 9.4k
- Cell Biology 1.7k
Countries citing papers authored by Silvia Giordano
This map shows the geographic impact of Silvia Giordano'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 Silvia Giordano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Giordano more than expected).
Fields of papers citing papers by Silvia Giordano
This network shows the impact of papers produced by Silvia Giordano. 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 Silvia Giordano. The network helps show where Silvia Giordano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia Giordano, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 29 | |
| 10 | 2018 | 30 | |
| 11 | Preclinical activity of two paclitaxel nanoparticle formulations after IP administration in ovarian cancer xenografts | 2018 | 1 |
| 12 | 2017 | 25 | |
| 13 | 2017 | 17 | |
| 14 | 2015 | 60 | |
| 15 | 2011 | 98 | |
| 16 | 2010 | 186 | |
| 17 | 2010 | 141 | |
| 18 | 2008 | 146 | |
| 19 | 2006 | 104 | |
| 20 | 1991 | 52 |
About Silvia Giordano
Silvia Giordano is a scholar working on Hepatology, Cancer Research and Oncology, having authored 190 papers that have together received 16.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (58 papers), PI3K/AKT/mTOR signaling in cancer (35 papers), Cancer, Hypoxia, and Metabolism (17 papers), MicroRNA in disease regulation (14 papers), HER2/EGFR in Cancer Research (13 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Lung Cancer Treatments and Mutations (12 papers) and Cancer Mechanisms and Therapy (12 papers). The work is most often cited by research in Hepatology (5.2k citations), Cancer Research (3.0k citations) and Oncology (3.9k citations). Silvia Giordano has collaborated with scholars based in Italy, United States and Belarus. Frequent co-authors include Paolo M. Comoglio, Simona Corso, Amedeo Columbano, Annalisa Petrelli, Maria Flavia Di Renzo, Carola Ponzetto, Livio Trusolino, Paolo Michieli, Silvia Menegon and Massimiliano Mazzone. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.