Alberto Pïcca
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in ⓘ
- Genetics 19
- Glioma Diagnosis and Treatment 18
-
- Ferroptosis and cancer prognosis 4
- Brain Metastases and Treatment 4
- Co-authors
- Marc Sanson (15 shared papers)Giulia Berzero (11 shared papers)Anna Luisa Di Stefano (10 shared papers)Franck Bielle (10 shared papers)Dimitri Psimaras (6 shared papers)Anna Lasorella (5 shared papers)Yohann Schmitt (5 shared papers)Antonio Iavarone (6 shared papers)
- Journals
- Neuro-Oncology (4 papers)Cancers (2 papers)Neurological Sciences (2 papers)Current Opinion in Oncology (2 papers)Neurology Neuroimmunology & Neuroinflammation (2 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Alberto Pïcca
26 papers receiving 330 citations
Peers
Comparison fields: 5 of 51
- Genetics 189
- Cancer Research 81
- Neurology 73
- Oncology 100
- Pulmonary and Respiratory Medicine 92
Countries citing papers authored by Alberto Pïcca
This map shows the geographic impact of Alberto Pïcca'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 Alberto Pïcca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Pïcca more than expected).
Fields of papers citing papers by Alberto Pïcca
This network shows the impact of papers produced by Alberto Pïcca. 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 Alberto Pïcca. The network helps show where Alberto Pïcca may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Pïcca, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 49 | |
| 2 | 2021 | 41 | |
| 3 | 2018 | 40 | |
| 4 | 2017 | 40 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 23 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2023 | 2 |
About Alberto Pïcca
Alberto Pïcca is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 339 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Brain Metastases and Treatment (4 papers), CAR-T cell therapy research (3 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Genetics (189 citations), Cancer Research (81 citations), Neurology (73 citations), Oncology (100 citations) and Pulmonary and Respiratory Medicine (92 citations). Alberto Pïcca has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Marc Sanson, Giulia Berzero, Anna Luisa Di Stefano, Franck Bielle, Dimitri Psimaras, Anna Lasorella, Yohann Schmitt, Antonio Iavarone, Karima Mokhtari and N. Kramkimel. Their work appears in journals such as Neuro-Oncology, Cancers, Neurological Sciences, Current Opinion in Oncology and Neurology Neuroimmunology & Neuroinflammation.
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.