Giada Bianchi
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
- Hematology 58
- Multiple Myeloma Research and Treatments 57
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 29
- Protein Degradation and Inhibitors 27
- Ubiquitin and proteasome pathways 20
- Histone Deacetylase Inhibitors Research 6
- Co-authors
- Kenneth Carl Anderson (28 shared papers)Nikhil C. Munshi (14 shared papers)Paul Gerard Guy Richardson (21 shared papers)Shaji Kunnathu Kumar (6 shared papers)Teru Hideshima (14 shared papers)Matthew Ho (13 shared papers)Ruben D. Carrasco (9 shared papers)Irene M. Ghobrial (8 shared papers)
- Journals
- Blood (23 papers)Leukemia (8 papers)JACC. Cardiovascular imaging (6 papers)Blood Advances (4 papers)British Journal of Haematology (2 papers)
- Partner nations
- United StatesItalyIreland
In The Last Decade
Giada Bianchi
97 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 110
- Hematology 1.6k
- Oncology 1.1k
- Molecular Biology 2.0k
- Immunology 535
- Genetics 253
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-authors
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
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 264 | |
| 2 | 2010 | 251 | |
| 3 | 2009 | 240 | |
| 4 | 2015 | 239 | |
| 5 | 2009 | 222 | |
| 6 | 2006 | 137 | |
| 7 | 2012 | 135 | |
| 8 | 2021 | 128 | |
| 9 | 2021 | 113 | |
| 10 | 2019 | 98 | |
| 11 | 2014 | 89 | |
| 12 | 2017 | 82 | |
| 13 | 2015 | 76 | |
| 14 | 2012 | 69 | |
| 15 | 2020 | 61 | |
| 16 | 2021 | 60 | |
| 17 | 2020 | 60 | |
| 18 | 2019 | 60 | |
| 19 | 2019 | 59 | |
| 20 | 2015 | 58 |
About Giada Bianchi
Giada Bianchi is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Immunology, having authored 108 papers that have together received 3.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (57 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (29 papers), Protein Degradation and Inhibitors (27 papers), Ubiquitin and proteasome pathways (20 papers), Peptidase Inhibition and Analysis (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), Immunotherapy and Immune Responses (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). The work is most often cited by research in Hematology (1.6k citations), Oncology (1.1k citations), Molecular Biology (2.0k citations), Immunology (535 citations) and Genetics (253 citations). Giada Bianchi has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Kenneth Carl Anderson, Nikhil C. Munshi, Paul Gerard Guy Richardson, Shaji Kunnathu Kumar, Teru Hideshima, Matthew Ho, Ruben D. Carrasco, Irene M. Ghobrial, Angela Dispenzieri and S.Vincent Rajkumar. Their work appears in journals such as Blood, Leukemia, JACC. Cardiovascular imaging, Blood Advances and British Journal of Haematology.
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.