Alberto Pïcca
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Genetics 18
- Glioma Diagnosis and Treatment 18
-
- Epigenetics and DNA Methylation 2
- Co-authors
- Marc Sanson (16 shared papers)Giulia Berzero (11 shared papers)Anna Luisa Di Stefano (10 shared papers)Franck Bielle (10 shared papers)Dimitri Psimaras (6 shared papers)Antonio Iavarone (6 shared papers)Anna Lasorella (5 shared papers)Yohann Schmitt (5 shared papers)
- Journals
- Neuro-Oncology (5 papers)Neurological Sciences (2 papers)Current Opinion in Oncology (2 papers)Cancers (2 papers)Neurology Neuroimmunology & Neuroinflammation (2 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Alberto Pïcca
27 papers receiving 348 citations
Peers
Comparison fields: 5 of 45
- Genetics 170
- Cancer Research 66
- Neurology 53
- Oncology 93
- Pulmonary and Respiratory Medicine 64
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2021 | 41 | |
| 3 | 2017 | 40 | |
| 4 | 2018 | 40 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 28 | |
| 7 | 2018 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2022 | 2 |
About Alberto Pïcca
Alberto Pïcca is a scholar working on Genetics, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 28 papers that have together received 356 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), Epigenetics and DNA Methylation (2 papers), Microtubule and mitosis dynamics (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Genetics (170 citations), Cancer Research (66 citations), Neurology (53 citations), Oncology (93 citations) and Pulmonary and Respiratory Medicine (64 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, Antonio Iavarone, Anna Lasorella, Yohann Schmitt, N. Kramkimel and Karima Mokhtari. Their work appears in journals such as Neuro-Oncology, Neurological Sciences, Current Opinion in Oncology, Cancers 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.