Sonia Feau
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- interferon and immune responses
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 15
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 9
- Immune Response and Inflammation 4
- interferon and immune responses 2
- Immune cells in cancer 2
- Co-authors
- Francesca Granucci (5 shared papers)Paola Ricciardi‐Castagnoli (5 shared papers)Stephen P. Schoenberger (5 shared papers)Ramon Arens (2 shared papers)Susan Togher (2 shared papers)Norman Pavelka (2 shared papers)Caterina Vizzardelli (2 shared papers)Maria Persico (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (3 papers)Nature Communications (2 papers)Nature Immunology (2 papers)Neuro-Oncology (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Sonia Feau
17 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Immunology 1.2k
- Oncology 308
- Virology 26
- Cancer Research 76
- Molecular Biology 367
Countries citing papers authored by Sonia Feau
This map shows the geographic impact of Sonia Feau'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 Sonia Feau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Feau more than expected).
Fields of papers citing papers by Sonia Feau
This network shows the impact of papers produced by Sonia Feau. 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 Sonia Feau. The network helps show where Sonia Feau may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonia Feau, 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 | 2001 | 416 | |
| 2 | 2011 | 200 | |
| 3 | 2014 | 175 | |
| 4 | 2017 | 175 | |
| 5 | 2003 | 148 | |
| 6 | 2012 | 96 | |
| 7 | 2004 | 81 | |
| 8 | 2014 | 70 | |
| 9 | 2020 | 56 | |
| 10 | 2008 | 28 | |
| 11 | 2003 | 22 | |
| 12 | 2014 | 17 | |
| 13 | 2004 | 16 | |
| 14 | 2012 | 15 | |
| 15 | 2003 | 8 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Sonia Feau
Sonia Feau is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Biotechnology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (9 papers), Immune Response and Inflammation (4 papers), Cancer Research and Treatments (2 papers), interferon and immune responses (2 papers), Immune cells in cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (308 citations), Virology (26 citations), Cancer Research (76 citations) and Molecular Biology (367 citations). Sonia Feau has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Francesca Granucci, Paola Ricciardi‐Castagnoli, Stephen P. Schoenberger, Ramon Arens, Susan Togher, Norman Pavelka, Caterina Vizzardelli, Maria Persico, Giorgio Moro and María Rescigno. Their work appears in journals such as The Journal of Immunology, Cancer Research, Nature Communications, Nature Immunology and Neuro-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.