Filippo Cortesi
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
-
- Cancer therapeutics and mechanisms 2
- Extracellular vesicles in disease 2
-
- Immune Cell Function and Interaction 5
- Immune cells in cancer 3
- IL-33, ST2, and ILC Pathways 2
- T-cell and B-cell Immunology 2
- Co-authors
- Giulia Casorati (6 shared papers)Paolo Dellabona (6 shared papers)Gloria Delfanti (3 shared papers)Nicola Gagliani (4 shared papers)Elisa Giovannetti (2 shared papers)Godefridus J. Peters (2 shared papers)Romano Danesi (2 shared papers)Eva Tolosa (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Frontiers in Immunology (2 papers)Blood (2 papers)Science Immunology (1 paper)Current Opinion in Immunology (1 paper)
- Partner nations
- ItalyGermanySwitzerland
In The Last Decade
Filippo Cortesi
13 papers receiving 394 citations
Peers
Comparison fields: 5 of 58
- Physiology 43
- Immunology 174
- Oncology 171
- Cancer Research 51
- Molecular Biology 151
Countries citing papers authored by Filippo Cortesi
This map shows the geographic impact of Filippo Cortesi'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 Filippo Cortesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Cortesi more than expected).
Fields of papers citing papers by Filippo Cortesi
This network shows the impact of papers produced by Filippo Cortesi. 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 Filippo Cortesi. The network helps show where Filippo Cortesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Filippo Cortesi, 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 | 2021 | 98 | |
| 2 | 2018 | 70 | |
| 3 | 2010 | 62 | |
| 4 | 2022 | 36 | |
| 5 | 2009 | 34 | |
| 6 | 2019 | 30 | |
| 7 | 2018 | 21 | |
| 8 | 2014 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 10 | |
| 11 | 2016 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2018 | 1 |
About Filippo Cortesi
Filippo Cortesi is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Surgery, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (3 papers), Immune cells in cancer (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Cancer therapeutics and mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Adenosine and Purinergic Signaling (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Physiology (43 citations), Immunology (174 citations), Oncology (171 citations), Cancer Research (51 citations) and Molecular Biology (151 citations). Filippo Cortesi has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Giulia Casorati, Paolo Dellabona, Gloria Delfanti, Nicola Gagliani, Elisa Giovannetti, Godefridus J. Peters, Romano Danesi, Eva Tolosa, Riekje Winzer and Matteo Bellone. Their work appears in journals such as Molecular Cancer Therapeutics, Frontiers in Immunology, Blood, Science Immunology and Current Opinion in Immunology.
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.