Giada Bianchi
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 59
- Oncology top 5%
- Peptidase Inhibition and Analysis 9
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 30
- Amyloidosis: Diagnosis, Treatment, Outcomes 22
- Ubiquitin and proteasome pathways 21
- Cell Biology top 5%
- Nephrology top 5%
- Parathyroid Disorders and Treatments 7
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- Chronic Lymphocytic Leukemia Research 11
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- Immunotherapy and Immune Responses 7
- Co-authors
- Kenneth C. AndersonNikhil C. MunshiPaul G. RichardsonShaji KumarTeru HideshimaIrene M. GhobrialRuben D. CarrascoMatthew Ho
- Cited by
- HematologyOncologyMolecular Biology
- Partner nations
- United StatesItalyIreland
In The Last Decade
Giada Bianchi
91 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Hematology 1.3k
- Oncology 914
- Molecular Biology 1.8k
- Cell Biology 360
- Nephrology 153
Countries citing papers authored by Giada Bianchi
This map shows the geographic impact of Giada Bianchi'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 Giada Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giada Bianchi more than expected).
Fields of papers citing papers by Giada Bianchi
This network shows the impact of papers produced by Giada Bianchi. 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 Giada Bianchi. The network helps show where Giada Bianchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giada Bianchi, 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 | 2024 | 15 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 29 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 92 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 92 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 45 | |
| 16 | 2020 | 28 | |
| 17 | 2020 | 53 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 2 | |
| 20 | 2012 | 16 |
About Giada Bianchi
Giada Bianchi is a scholar working on Hematology, Genetics, Nephrology, Molecular Biology and Oncology, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (59 papers), Protein Degradation and Inhibitors (30 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Ubiquitin and proteasome pathways (21 papers), Chronic Lymphocytic Leukemia Research (11 papers), Peptidase Inhibition and Analysis (9 papers), Parathyroid Disorders and Treatments (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Hematology (1.3k citations), Oncology (914 citations), Molecular Biology (1.8k citations), Cell Biology (360 citations) and Nephrology (153 citations). Giada Bianchi has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Kenneth C. Anderson, Nikhil C. Munshi, Paul G. Richardson, Shaji Kumar, Teru Hideshima, Irene M. Ghobrial, Ruben D. Carrasco, Matthew Ho, Dharminder Chauhan and Roberto Sitia. Their work appears in journals such as Blood, JACC. Cardiovascular imaging, Leukemia, Journal of Clinical Oncology and Blood Advances.
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.