Gaia Griguolo
- Oncology top 2%
- HER2/EGFR in Cancer Research 32
- Cancer Immunotherapy and Biomarkers 15
- Lung Cancer Research Studies 13
- Cancer Cells and Metastasis 8
- Cancer Research top 5%
- Breast Cancer Treatment Studies 34
- Cancer Genomics and Diagnostics 8
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- Advanced Breast Cancer Therapies 23
- Brain Metastases and Treatment 13
- Genetics top 10%
- Co-authors
- Valentina GuarneriMaria Vittoria DieciFederica MigliettaPierfranco ContéMichele BottossoGrazia Maria VernaciTommaso GiarratanoMarcello Mele
- Journals
- Journal of Clinical Oncology (10 papers)JNCI Journal of the National Cancer Institute (1 paper)Cancer Research (4 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Gaia Griguolo
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 67
- Oncology 1.1k
- Cancer Research 553
- Pulmonary and Respiratory Medicine 431
- Radiology, Nuclear Medicine and Imaging 290
- Genetics 106
Countries citing papers authored by Gaia Griguolo
This map shows the geographic impact of Gaia Griguolo'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 Gaia Griguolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Griguolo more than expected).
Fields of papers citing papers by Gaia Griguolo
This network shows the impact of papers produced by Gaia Griguolo. 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 Gaia Griguolo. The network helps show where Gaia Griguolo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaia Griguolo, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 34 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 150 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 34 | |
| 16 | 2019 | 76 | |
| 17 | 2018 | 45 | |
| 18 | 2018 | 9 | |
| 19 | 2018 | 16 | |
| 20 | 2017 | 5 |
About Gaia Griguolo
Gaia Griguolo is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (34 papers), HER2/EGFR in Cancer Research (32 papers), Advanced Breast Cancer Therapies (23 papers), Cancer Immunotherapy and Biomarkers (15 papers), Brain Metastases and Treatment (13 papers), Lung Cancer Research Studies (13 papers), Cancer Cells and Metastasis (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (553 citations) and Pulmonary and Respiratory Medicine (431 citations). Gaia Griguolo has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Valentina Guarneri, Maria Vittoria Dieci, Federica Miglietta, Pierfranco Conté, Michele Bottosso, Grazia Maria Vernaci, Tommaso Giarratano, Marcello Mele, Aleix Prat and Matteo Fassan. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and 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.