Giulia Biondani

601 citations
9 papers · 461 · h-index 9

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cancer Cells and Metastasis 5
    • Pancreatic and Hepatic Oncology Research 4
    • Cancer, Hypoxia, and Metabolism 4
    • MicroRNA in disease regulation 1

Giulia Biondani

9 papers receiving 459 citations

Peers

Giulia Biondani
Comparison fields: 5 of 63
  • Cancer Research 182
  • Oncology 171
  • Molecular Biology 283
  • Hematology 35
  • Biochemistry 18
Replace Hai Hu with:
Hai Hu China
Giorgia Pilotto Italy
Sunsook Hwang South Korea
Sonia Mohinta United States
Evangelia K. Papachristou United Kingdom
Fengbiao Zhou China
Mary Robinson United States
Wenjuan Zhang China
Melissa M. Wolf United States
Carolina Hassibe Thomé Brazil
Giulia Biondani relative to Hai Hu China Hai Hu's profile →
Citations per field
00.5×2.9×
Hai Hu · 1×
Citations per year

Countries citing papers authored by Giulia Biondani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Giulia Biondani Line = papers co-authored together Giulia Biondani links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201686
2 201768
3 201655
4 201548
5 202047
6 201445
7 201838
8 201837
9 201537

About Giulia Biondani

Giulia Biondani is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Biomedical Engineering, having authored 9 papers that have together received 461 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), 3D Printing in Biomedical Research (2 papers), MicroRNA in disease regulation (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Cancer Research (182 citations), Oncology (171 citations), Molecular Biology (283 citations), Hematology (35 citations) and Biochemistry (18 citations). Giulia Biondani has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Jean‐François Peyron, Marta Palmieri, Ilaria Dando, Elisa Dalla Pozza, Emmanuel Griessinger, Aldo Scarpa, Marco Cordani, Massimo Donadelli, Daniela Cecconi and Jessica Brandi. Their work appears in journals such as Journal of Proteomics, Trends in cancer, Frontiers in Endocrinology, Cells and FEBS Journal.

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.

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