Filippo Rossignoli
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
-
- Immunotherapy and Immune Responses
Papers in
- Oncology 7
- CAR-T cell therapy research 5
-
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 2
- Co-authors
- Massimo Dominici (11 shared papers)Giulia Grisendi (10 shared papers)Carlotta Spano (8 shared papers)Edwin M. Horwitz (6 shared papers)Giulia Golinelli (7 shared papers)Khalid Shah (8 shared papers)Paolo Paolucci (4 shared papers)Elena Veronesi (4 shared papers)
- Journals
- Stem Cells (2 papers)Cancer Gene Therapy (2 papers)Cytotherapy (2 papers)Trends in Molecular Medicine (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Filippo Rossignoli
18 papers receiving 577 citations
Peers
Comparison fields: 5 of 69
- Genetics 232
- Immunology 145
- Oncology 187
- Cancer Research 58
- Biomaterials 45
Countries citing papers authored by Filippo Rossignoli
This map shows the geographic impact of Filippo Rossignoli'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 Rossignoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Rossignoli more than expected).
Fields of papers citing papers by Filippo Rossignoli
This network shows the impact of papers produced by Filippo Rossignoli. 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 Rossignoli. The network helps show where Filippo Rossignoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Filippo Rossignoli, 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 | 2015 | 111 | |
| 2 | 2018 | 83 | |
| 3 | 2013 | 68 | |
| 4 | 2023 | 54 | |
| 5 | 2018 | 49 | |
| 6 | 2019 | 43 | |
| 7 | 2014 | 43 | |
| 8 | 2021 | 41 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 17 | |
| 11 | 2016 | 12 | |
| 12 | 2024 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2025 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 1 | |
| 18 | 2016 | 1 |
About Filippo Rossignoli
Filippo Rossignoli is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Genetics, having authored 18 papers that have together received 582 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers), Mesenchymal stem cell research (4 papers), Cancer Research and Treatments (3 papers), RNA Interference and Gene Delivery (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Genetics (232 citations), Immunology (145 citations), Oncology (187 citations), Cancer Research (58 citations) and Biomaterials (45 citations). Filippo Rossignoli has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Massimo Dominici, Giulia Grisendi, Carlotta Spano, Edwin M. Horwitz, Giulia Golinelli, Khalid Shah, Paolo Paolucci, Elena Veronesi, Olivia Candini and Kok‐Siong Chen. Their work appears in journals such as Stem Cells, Cancer Gene Therapy, Cytotherapy, Trends in Molecular Medicine and Frontiers 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.