Alberto Pïcca
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
-
- Cancer Immunotherapy and Biomarkers
- Cancer Treatment and Pharmacology
Papers in
- Co-authors
- Marc Sanson (13 shared papers)Giulia Berzero (11 shared papers)Anna Luisa Di Stefano (11 shared papers)Franck Bielle (6 shared papers)Anna Lasorella (3 shared papers)Antonio Iavarone (3 shared papers)Dimitri Psimaras (7 shared papers)Yohann Schmitt (3 shared papers)
- Journals
- Neuro-Oncology (5 papers)Current Opinion in Oncology (2 papers)Neurological Sciences (2 papers)Nature Genetics (2 papers)Acta Neuropathologica (2 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Alberto Pïcca
34 papers receiving 675 citations
Alberto Pïcca's Hit Papers
Peers
Comparison fields: 5 of 50
- Genetics 403
- Oncology 161
- Neurology 44
- Health Informatics 5
- Cancer Research 27
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 79 | |
| 2 | 2023 | 56 | |
| 3 | 2018 | 55 | |
| 4 | 2017 | 51 | |
| 5 | 2020 | 51 | |
| 6 | The multilayered transcriptional architecture of glioblastoma ecosystems Hit paper breakdown → | 2025 | 48 |
| 7 | 2021 | 44 | |
| 8 | 2018 | 40 | |
| 9 | Deciphering the longitudinal trajectories of glioblastoma ecosystems by integrative single-cell genomics Hit paper breakdown → | 2025 | 35 |
| 10 | 2023 | 33 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 28 | |
| 13 | 2018 | 25 | |
| 14 | 2023 | 23 | |
| 15 | 2024 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 7 |
About Alberto Pïcca
Alberto Pïcca is a scholar working on Genetics, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 40 papers that have together received 690 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (27 papers), Cancer Immunotherapy and Biomarkers (8 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Treatment and Pharmacology (2 papers), Epigenetics and DNA Methylation (1 paper), Polyomavirus and related diseases (1 paper), Acute Ischemic Stroke Management (1 paper) and Cancer-related cognitive impairment studies (1 paper). The work is most often cited by research in Genetics (403 citations), Oncology (161 citations), Neurology (44 citations), Health Informatics (5 citations) and Cancer Research (27 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, Anna Lasorella, Antonio Iavarone, Dimitri Psimaras, Yohann Schmitt, Karima Mokhtari and N. Kramkimel. Their work appears in journals such as Neuro-Oncology, Current Opinion in Oncology, Neurological Sciences, Nature Genetics and Acta Neuropathologica.
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.