Giulia Siravegna
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 28
- Oncology top 2%
- Colorectal Cancer Treatments and Studies 20
- Cancer Cells and Metastasis 3
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- Genetic factors in colorectal cancer 11
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- Lung Cancer Treatments and Mutations 17
- Gastric Cancer Management and Outcomes 6
- Renal cell carcinoma treatment 5
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 4
- Co-authors
- Alberto BardelliSilvia MarsoniSalvatore SienaBenedetta MussolinRyan B. CorcoranAndrea Sartore‐BianchiFederica Di NicolantonioTiziana Venesio
- Journals
- Journal of Clinical Oncology (9 papers)Cancer Research (2 papers)Clinical Cancer Research (3 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Giulia Siravegna
42 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 1.9k
- Oncology 1.6k
- Pathology and Forensic Medicine 621
- Pulmonary and Respiratory Medicine 1.1k
- Molecular Biology 1.4k
Countries citing papers authored by Giulia Siravegna
This map shows the geographic impact of Giulia Siravegna'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 Giulia Siravegna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Siravegna more than expected).
Fields of papers citing papers by Giulia Siravegna
This network shows the impact of papers produced by Giulia Siravegna. 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 Giulia Siravegna. The network helps show where Giulia Siravegna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giulia Siravegna, 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 | 2023 | 38 | |
| 2 | 2023 | 5 | |
| 3 | Clinical Acquired Resistance to KRASG12C Inhibition through a Novel KRAS Switch-II Pocket Mutation and Polyclonal Alterations Converging on RAS–MAPK Reactivationbreakdown → | 2021 | 302 |
| 4 | 2021 | 50 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 19 | |
| 8 | 2019 | 102 | |
| 9 | 2019 | 243 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 65 | |
| 12 | 2017 | 36 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 31 | |
| 16 | 2017 | 39 | |
| 17 | 2016 | 78 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 138 | |
| 20 | 2015 | 45 |
About Giulia Siravegna
Giulia Siravegna is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Colorectal Cancer Treatments and Studies (20 papers), Lung Cancer Treatments and Mutations (17 papers), Genetic factors in colorectal cancer (11 papers), Gastric Cancer Management and Outcomes (6 papers), Renal cell carcinoma treatment (5 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.6k citations) and Pathology and Forensic Medicine (621 citations). Giulia Siravegna has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Alberto Bardelli, Silvia Marsoni, Salvatore Siena, Benedetta Mussolin, Ryan B. Corcoran, Andrea Sartore‐Bianchi, Federica Di Nicolantonio, Tiziana Venesio, Caroline Dive and Leticia De Mattos‐Arruda. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.
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.