Daniela Bruni
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
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- Immune Cell Function and Interaction 5
- interferon and immune responses 4
- Immunotherapy and Immune Responses 4
- Immune Response and Inflammation 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Jérôme Galon (6 shared papers)Helen K. Angell (2 shared papers)J. Carl Barrett (1 shared paper)Ronald Herbst (1 shared paper)Bernhard Mlecnik (1 shared paper)Davide Bedognetti (1 shared paper)Yves Humblet (1 shared paper)Erwan Morgand (1 shared paper)
In The Last Decade
Daniela Bruni
13 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 2.2k
- Oncology 2.7k
- Cancer Research 716
- Pulmonary and Respiratory Medicine 944
- Molecular Biology 1.2k
Countries citing papers authored by Daniela Bruni
This map shows the geographic impact of Daniela Bruni'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 Daniela Bruni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Bruni more than expected).
Fields of papers citing papers by Daniela Bruni
This network shows the impact of papers produced by Daniela Bruni. 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 Daniela Bruni. The network helps show where Daniela Bruni may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Bruni, 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 | Approaches to treat immune hot, altered and cold tumours with combination immunotherapies Hit paper breakdown → | 2019 | 2343 |
| 2 | The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy Hit paper breakdown → | 2020 | 1012 |
| 3 | Tumor Immunology and Tumor Evolution: Intertwined Histories Hit paper breakdown → | 2020 | 377 |
| 4 | 2018 | 278 | |
| 5 | 2019 | 262 | |
| 6 | 2015 | 42 | |
| 7 | 2016 | 26 | |
| 8 | 2018 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 2020 | 19 | |
| 11 | 2013 | 19 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 6 |
About Daniela Bruni
Daniela Bruni is a scholar working on Immunology, Oncology, Modeling and Simulation, Virology and Cancer Research, having authored 13 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (5 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (4 papers), Viral Infections and Vectors (3 papers), Cancer Genomics and Diagnostics (2 papers), Immune Response and Inflammation (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Immunology (2.2k citations), Oncology (2.7k citations), Cancer Research (716 citations), Pulmonary and Respiratory Medicine (944 citations) and Molecular Biology (1.2k citations). Daniela Bruni has collaborated with scholars based in France, Ireland and Singapore. Frequent co-authors include Jérôme Galon, Helen K. Angell, J. Carl Barrett, Ronald Herbst, Bernhard Mlecnik, Davide Bedognetti, Yves Humblet, Erwan Morgand, Gabriela Bindea and Mihaela Angelova. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Nature reviews. Cancer, Clinical Cancer Research and Immunity.
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.