Giulia Corradi
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Immunology 12
- Immune cells in cancer 8
- Immune Cell Function and Interaction 4
- Hematology 11
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Antonio Curti (17 shared papers)Michèle Cavo (17 shared papers)Marilena Ciciarello (14 shared papers)Darina Očadlíková (9 shared papers)Dorian Forte (7 shared papers)Sarah Parisi (6 shared papers)Giovanni Marconi (5 shared papers)Valentina Salvestrini (5 shared papers)
- Journals
- Blood (5 papers)Frontiers in Immunology (3 papers)Frontiers in Oncology (2 papers)CALCOLO (2 papers)Cancers (2 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Giulia Corradi
24 papers receiving 373 citations
Peers
Comparison fields: 5 of 63
- Hematology 163
- Genetics 72
- Immunology 112
- Oncology 85
- Cancer Research 45
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 73 | |
| 2 | 2016 | 47 | |
| 3 | 2022 | 41 | |
| 4 | 2019 | 37 | |
| 5 | 2017 | 29 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2017 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 1996 | 16 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 2 | |
| 18 | 2016 | 2 | |
| 19 | Melanoma relapse of the upper third of the vagina treated with BCG and beta-interferon. | 1989 | 2 |
| 20 | 2020 | 1 |
About Giulia Corradi
Giulia Corradi is a scholar working on Immunology, Hematology, Molecular Biology, Genetics and Oncology, having authored 25 papers that have together received 377 indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immune Cell Function and Interaction (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), CAR-T cell therapy research (3 papers), Mesenchymal stem cell research (3 papers) and Iterative Methods for Nonlinear Equations (2 papers). The work is most often cited by research in Hematology (163 citations), Genetics (72 citations), Immunology (112 citations), Oncology (85 citations) and Cancer Research (45 citations). Giulia Corradi has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Antonio Curti, Michèle Cavo, Marilena Ciciarello, Darina Očadlíková, Dorian Forte, Sarah Parisi, Giovanni Marconi, Valentina Salvestrini, Carmen Baldazzi and Carlo Finelli. Their work appears in journals such as Blood, Frontiers in Immunology, Frontiers in Oncology, CALCOLO and Cancers.
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.