Giulia Biancon
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 8
- RNA modifications and cancer 6
- Protein Degradation and Inhibitors 4
- RNA and protein synthesis mechanisms 4
- Cancer-related gene regulation 3
- DNA Repair Mechanisms 2
- Hematology 11
- Acute Myeloid Leukemia Research 5
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Paolo Corradini (8 shared papers)Cristiana Carniti (8 shared papers)Stephanie Halene (20 shared papers)Antonio Vendramin (4 shared papers)Silvia Gimondi (4 shared papers)Toma Tebaldi (15 shared papers)Matteo Dugo (4 shared papers)Amer M. Zeidan (2 shared papers)
- Journals
- Blood (11 papers)Experimental Hematology (1 paper)Genome Research (1 paper)Frontiers in Oncology (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Giulia Biancon
28 papers receiving 297 citations
Peers
Comparison fields: 5 of 40
- Hematology 141
- Cancer Research 67
- Genetics 45
- Molecular Biology 152
- Immunology 40
Countries citing papers authored by Giulia Biancon
This map shows the geographic impact of Giulia Biancon'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 Biancon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Biancon more than expected).
Fields of papers citing papers by Giulia Biancon
This network shows the impact of papers produced by Giulia Biancon. 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 Biancon. The network helps show where Giulia Biancon may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Biancon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2018 | 45 | |
| 3 | 2022 | 42 | |
| 4 | 2016 | 28 | |
| 5 | 2022 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Giulia Biancon
Giulia Biancon is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Immunology, having authored 28 papers that have together received 299 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA modifications and cancer (6 papers), Acute Myeloid Leukemia Research (5 papers), Protein Degradation and Inhibitors (4 papers), RNA and protein synthesis mechanisms (4 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer-related gene regulation (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Hematology (141 citations), Cancer Research (67 citations), Genetics (45 citations), Molecular Biology (152 citations) and Immunology (40 citations). Giulia Biancon has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Paolo Corradini, Cristiana Carniti, Stephanie Halene, Antonio Vendramin, Silvia Gimondi, Toma Tebaldi, Matteo Dugo, Amer M. Zeidan, Even H Rustad and Nikolai A. Podoltsev. Their work appears in journals such as Blood, Experimental Hematology, Genome Research, Frontiers in Oncology and Leukemia.
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.