Filippo Cortesi
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Biological Psychiatry top 10%
Papers in
- Immunology 12
- Immune Cell Function and Interaction 7
- Immune cells in cancer 4
- IL-33, ST2, and ILC Pathways 3
- T-cell and B-cell Immunology 3
- Oncology 6
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Giulia Casorati (5 shared papers)Paolo Dellabona (5 shared papers)Nicola Gagliani (4 shared papers)Gloria Delfanti (3 shared papers)Romano Danesi (2 shared papers)Eva Tolosa (2 shared papers)Riekje Winzer (2 shared papers)Godefridus J. Peters (2 shared papers)
- Journals
- Nature Communications (2 papers)Frontiers in Immunology (2 papers)Molecular Cancer Therapeutics (2 papers)Science Immunology (2 papers)Trends in Immunology (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Filippo Cortesi
18 papers receiving 1.2k citations
Filippo Cortesi's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 388
- Biological Psychiatry 39
- Oncology 360
- Physiology 54
- Hematology 105
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 | Microbiota-derived 3-IAA influences chemotherapy efficacy in pancreatic cancer Hit paper breakdown → | 2023 | 353 |
| 2 | 2019 | 159 | |
| 3 | 2021 | 133 | |
| 4 | 2021 | 114 | |
| 5 | 2018 | 77 | |
| 6 | 2010 | 64 | |
| 7 | 2023 | 52 | |
| 8 | 2023 | 47 | |
| 9 | 2022 | 38 | |
| 10 | 2009 | 36 | |
| 11 | 2019 | 33 | |
| 12 | 2018 | 23 | |
| 13 | 2024 | 20 | |
| 14 | 2023 | 18 | |
| 15 | 2023 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2016 | 9 | |
| 18 | 2023 | 5 |
About Filippo Cortesi
Filippo Cortesi is a scholar working on Immunology, Oncology, Physiology, Molecular Biology and Hematology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immune cells in cancer (4 papers), Gut microbiota and health (4 papers), IL-33, ST2, and ILC Pathways (3 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (388 citations), Biological Psychiatry (39 citations), Oncology (360 citations), Physiology (54 citations) and Hematology (105 citations). Filippo Cortesi has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Giulia Casorati, Paolo Dellabona, Nicola Gagliani, Gloria Delfanti, Romano Danesi, Eva Tolosa, Riekje Winzer, Godefridus J. Peters, Elisa Giovannetti and Matteo Bellone. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Molecular Cancer Therapeutics, Science Immunology and Trends 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.