Sonia Dolfi
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 22
- Cancer Immunotherapy and Biomarkers 18
- CAR-T cell therapy research 10
-
- Melanoma and MAPK Pathways 7
- Chemical Synthesis and Analysis 3
- Co-authors
- Kim M. Hirshfield (11 shared papers)Alexei Vázquez (4 shared papers)Joseph R. Bertino (2 shared papers)Philip M. Tedeschi (2 shared papers)Zoltán N. Oltvai (2 shared papers)Leo Li‐Ying Chan (1 shared paper)Jean Qiu (1 shared paper)Huan Lin (1 shared paper)
- Journals
- Journal of Clinical Oncology (9 papers)Annals of Oncology (4 papers)Clinical Cancer Research (2 papers)Cancer Research (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Sonia Dolfi
34 papers receiving 788 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 208
- Oncology 272
- Molecular Biology 377
- Biochemistry 39
- Immunology 97
Countries citing papers authored by Sonia Dolfi
This map shows the geographic impact of Sonia Dolfi'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 Dolfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Dolfi more than expected).
Fields of papers citing papers by Sonia Dolfi
This network shows the impact of papers produced by Sonia Dolfi. 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 Dolfi. The network helps show where Sonia Dolfi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonia Dolfi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 208 | |
| 2 | 2013 | 149 | |
| 3 | 2023 | 79 | |
| 4 | 2022 | 33 | |
| 5 | 2016 | 32 | |
| 6 | 2024 | 30 | |
| 7 | 2014 | 28 | |
| 8 | 2015 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 2013 | 23 | |
| 11 | 2017 | 21 | |
| 12 | 2013 | 18 | |
| 13 | 2016 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2025 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 8 |
About Sonia Dolfi
Sonia Dolfi is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Psychiatry and Mental health, having authored 34 papers that have together received 800 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (18 papers), CAR-T cell therapy research (10 papers), Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Chemical Synthesis and Analysis (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (208 citations), Oncology (272 citations), Molecular Biology (377 citations), Biochemistry (39 citations) and Immunology (97 citations). Sonia Dolfi has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Kim M. Hirshfield, Alexei Vázquez, Joseph R. Bertino, Philip M. Tedeschi, Zoltán N. Oltvai, Leo Li‐Ying Chan, Jean Qiu, Huan Lin, Elke Markert and László G. Boros. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, Cancer Research and Journal for ImmunoTherapy of Cancer.
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.