Barbara Savoldo
Impact in
- Oncology top 0.05%
- CAR-T cell therapy research
- Immunology top 0.1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 175
- CAR-T cell therapy research 152
- Viral-associated cancers and disorders 22
- Immunology 96
- Immune Cell Function and Interaction 61
- Immunotherapy and Immune Responses 39
- T-cell and B-cell Immunology 32
- Co-authors
- Gianpietro DottiMalcolm K. BrennerCliona M. RooneyHelen E. HeslopHao LiuAdrian P. GeeEnli LiuZhuyong Mei
- Journals
- Blood (58 papers)Clinical Cancer Research (12 papers)Molecular Therapy (10 papers)Cancer Immunology Research (7 papers)Journal of Clinical Investigation (7 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Barbara Savoldo
198 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Oncology 14.0k
- Immunology 6.5k
- Genetics 4.8k
- Hematology 1.1k
- Biomedical Engineering 3.8k
Countries citing papers authored by Barbara Savoldo
This map shows the geographic impact of Barbara Savoldo'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 Barbara Savoldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Savoldo more than expected).
Fields of papers citing papers by Barbara Savoldo
This network shows the impact of papers produced by Barbara Savoldo. 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 Barbara Savoldo. The network helps show where Barbara Savoldo may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Savoldo, 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 | 2022 | 2 | |
| 2 | 2021 | 18 | |
| 3 | 2021 | 182 | |
| 4 | 2021 | 57 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 3 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 133 | |
| 10 | 2019 | 47 | |
| 11 | 2019 | 159 | |
| 12 | 2018 | 207 | |
| 13 | 2018 | 59 | |
| 14 | 2015 | 32 | |
| 15 | 2014 | 145 | |
| 16 | 2014 | 272 | |
| 17 | 2013 | 80 | |
| 18 | 2013 | 115 | |
| 19 | 2012 | 63 | |
| 20 | 2009 | 113 |
About Barbara Savoldo
Barbara Savoldo is a scholar working on Oncology, Immunology, Hematology, Genetics and Genetics, having authored 207 papers that have together received 16.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (152 papers), Immune Cell Function and Interaction (61 papers), Virus-based gene therapy research (49 papers), Immunotherapy and Immune Responses (39 papers), T-cell and B-cell Immunology (32 papers), Cytomegalovirus and herpesvirus research (24 papers), Viral-associated cancers and disorders (22 papers) and Lymphoma Diagnosis and Treatment (21 papers). The work is most often cited by research in Oncology (14.0k citations), Immunology (6.5k citations), Genetics (4.8k citations), Hematology (1.1k citations) and Biomedical Engineering (3.8k citations). Barbara Savoldo has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Gianpietro Dotti, Malcolm K. Brenner, Cliona M. Rooney, Helen E. Heslop, Hao Liu, Adrian P. Gee, Enli Liu, Zhuyong Mei, Carlos A. Ramos and Valentina Hoyos. Their work appears in journals such as Blood, Clinical Cancer Research, Molecular Therapy, Cancer Immunology Research and Journal of Clinical Investigation.
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.