Giulia Perrone
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 2%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- Cancer-related Molecular Pathways
Papers in
- Hematology 37
- Multiple Myeloma Research and Treatments 35
- Hematopoietic Stem Cell Transplantation 4
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- Protein Degradation and Inhibitors 11
- Ubiquitin and proteasome pathways 5
- Cancer therapeutics and mechanisms 4
- Co-authors
- Michèle Cavo (27 shared papers)Michele Baccarani (26 shared papers)Elena Zamagni (24 shared papers)Paola Tacchetti (24 shared papers)Patrizia Tosi (18 shared papers)Güllü Görgün (18 shared papers)Teru Hideshima (18 shared papers)Noopur Raje (12 shared papers)
- Journals
- Blood (30 papers)European Journal Of Haematology (3 papers)Annals of Hematology (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Giulia Perrone
52 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 88
- Hematology 1.5k
- Oncology 1.0k
- Genetics 202
- Molecular Biology 1.2k
- Immunology 254
Countries citing papers authored by Giulia Perrone
This map shows the geographic impact of Giulia Perrone'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 Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Perrone more than expected).
Fields of papers citing papers by Giulia Perrone
This network shows the impact of papers produced by Giulia Perrone. 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 Perrone. The network helps show where Giulia Perrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Perrone, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 372 | |
| 2 | 2005 | 272 | |
| 3 | 2007 | 265 | |
| 4 | 2010 | 242 | |
| 5 | 2010 | 180 | |
| 6 | 2010 | 160 | |
| 7 | 2010 | 145 | |
| 8 | 2010 | 120 | |
| 9 | 2009 | 88 | |
| 10 | 2005 | 82 | |
| 11 | 2003 | 55 | |
| 12 | 2012 | 54 | |
| 13 | 2014 | 49 | |
| 14 | 2006 | 43 | |
| 15 | 2004 | 40 | |
| 16 | 2009 | 36 | |
| 17 | 2010 | 26 | |
| 18 | 2014 | 26 | |
| 19 | 2005 | 25 | |
| 20 | 2004 | 20 |
About Giulia Perrone
Giulia Perrone is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Cell Biology, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (11 papers), Cancer Treatment and Pharmacology (7 papers), Microtubule and mitosis dynamics (6 papers), Ubiquitin and proteasome pathways (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (4 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Hematology (1.5k citations), Oncology (1.0k citations), Genetics (202 citations), Molecular Biology (1.2k citations) and Immunology (254 citations). Giulia Perrone has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Michèle Cavo, Michele Baccarani, Elena Zamagni, Paola Tacchetti, Patrizia Tosi, Güllü Görgün, Teru Hideshima, Noopur Raje, Annamaria Brioli and Delia Cangini. Their work appears in journals such as Blood, European Journal Of Haematology, Annals of Hematology, Biology of Blood and Marrow Transplantation and Molecular Cancer Therapeutics.
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.