Giulia Corradi
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Mesenchymal stem cell research
Papers in
- Immunology 12
- Immune cells in cancer 8
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- Hematology 11
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Michèle Cavo (16 shared papers)Antonio Curti (16 shared papers)Marilena Ciciarello (13 shared papers)Darina Očadlíková (9 shared papers)Dorian Forte (7 shared papers)Sarah Parisi (6 shared papers)Valentina Salvestrini (5 shared papers)Giovanni Marconi (5 shared papers)
- Journals
- Blood (4 papers)Frontiers in Immunology (3 papers)CALCOLO (2 papers)Cancers (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Giulia Corradi
23 papers receiving 350 citations
Peers
Comparison fields: 5 of 62
- Hematology 161
- Genetics 69
- Immunology 115
- Cancer Research 51
- Oncology 90
Countries citing papers authored by Giulia Corradi
This map shows the geographic impact of Giulia Corradi'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 Corradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Corradi more than expected).
Fields of papers citing papers by Giulia Corradi
This network shows the impact of papers produced by Giulia Corradi. 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 Corradi. The network helps show where Giulia Corradi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Corradi, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2016 | 46 | |
| 3 | 2022 | 35 | |
| 4 | 2019 | 34 | |
| 5 | 2017 | 28 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 23 | |
| 8 | 2017 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 1996 | 16 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2016 | 2 | |
| 18 | 2018 | 2 | |
| 19 | Melanoma relapse of the upper third of the vagina treated with BCG and beta-interferon. | 1989 | 2 |
| 20 | 2024 | 1 |
About Giulia Corradi
Giulia Corradi is a scholar working on Immunology, Hematology, Molecular Biology, Genetics and Oncology, having authored 24 papers that have together received 352 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Immune cells in cancer (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immune Cell Function and Interaction (4 papers), Mesenchymal stem cell research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (161 citations), Genetics (69 citations), Immunology (115 citations), Cancer Research (51 citations) and Oncology (90 citations). Giulia Corradi has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Michèle Cavo, Antonio Curti, Marilena Ciciarello, Darina Očadlíková, Dorian Forte, Sarah Parisi, Valentina Salvestrini, Giovanni Marconi, Carmen Baldazzi and Lucia Catani. Their work appears in journals such as Blood, Frontiers in Immunology, CALCOLO, Cancers and Frontiers in Oncology.
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.