Giulia Biondani
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 5
- Cancer Cells and Metastasis 4
- Pancreatic and Hepatic Oncology Research 2
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- Cancer, Hypoxia, and Metabolism 3
- MicroRNA in disease regulation 1
- Co-authors
- Jean‐François Peyron (3 shared papers)Ilaria Dando (6 shared papers)Elisa Dalla Pozza (6 shared papers)Marta Palmieri (6 shared papers)Emmanuel Griessinger (1 shared paper)Aldo Scarpa (3 shared papers)Jessica Brandi (3 shared papers)Daniela Cecconi (3 shared papers)
- Journals
- Journal of Proteomics (2 papers)FEBS Journal (1 paper)International Journal of Oncology (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)IUBMB Life (1 paper)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Giulia Biondani
9 papers receiving 469 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 169
- Oncology 150
- Molecular Biology 267
- Hematology 36
- Biochemistry 17
Countries citing papers authored by Giulia Biondani
This map shows the geographic impact of Giulia Biondani'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 Giulia Biondani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Biondani more than expected).
Fields of papers citing papers by Giulia Biondani
This network shows the impact of papers produced by Giulia Biondani. 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 Giulia Biondani. The network helps show where Giulia Biondani may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Biondani, 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 | 2016 | 87 | |
| 2 | 2017 | 72 | |
| 3 | 2016 | 55 | |
| 4 | 2015 | 48 | |
| 5 | 2020 | 48 | |
| 6 | 2014 | 47 | |
| 7 | 2018 | 38 | |
| 8 | 2018 | 38 | |
| 9 | 2015 | 38 |
About Giulia Biondani
Giulia Biondani is a scholar working on Oncology, Cancer Research, Molecular Biology, Biomedical Engineering and Surgery, having authored 9 papers that have together received 471 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), 3D Printing in Biomedical Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), Acute Myeloid Leukemia Research (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (169 citations), Oncology (150 citations), Molecular Biology (267 citations), Hematology (36 citations) and Biochemistry (17 citations). Giulia Biondani has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Jean‐François Peyron, Ilaria Dando, Elisa Dalla Pozza, Marta Palmieri, Emmanuel Griessinger, Aldo Scarpa, Jessica Brandi, Daniela Cecconi, Massimo Donadelli and Marco Cordani. Their work appears in journals such as Journal of Proteomics, FEBS Journal, International Journal of Oncology, Oxidative Medicine and Cellular Longevity and IUBMB Life.
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.