Bianca Pollo
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Genetics top 0.05%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 98
- Glioma Diagnosis and Treatment 96
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- Cancer Genomics and Diagnostics 24
- Co-authors
- Gaetano Finocchiaro (44 shared papers)Francesco DiMeco (34 shared papers)Maria Grazia Bruzzone (25 shared papers)Giovanni Broggi (22 shared papers)Marica Eoli (31 shared papers)Andrea Salmaggi (22 shared papers)Antonio Silvani (27 shared papers)Amerigo Boiardi (17 shared papers)
- Journals
- Journal of Neuro-Oncology (21 papers)Neuro-Oncology (20 papers)Neurological Sciences (16 papers)Cell Reports (13 papers)Cell (10 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Bianca Pollo
220 papers receiving 35.0k citations
Bianca Pollo's Hit Papers
Peers
Comparison fields: 5 of 164
- Cancer Research 9.4k
- Genetics 5.8k
- Oncology 8.3k
- Molecular Biology 15.6k
- Pulmonary and Respiratory Medicine 5.9k
Countries citing papers authored by Bianca Pollo
This map shows the geographic impact of Bianca Pollo'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 Bianca Pollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca Pollo more than expected).
Fields of papers citing papers by Bianca Pollo
This network shows the impact of papers produced by Bianca Pollo. 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 Bianca Pollo. The network helps show where Bianca Pollo may publish in the future.
Co-authors
The 25 scholars most cited alongside Bianca Pollo, 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 227 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 2 | The Somatic Genomic Landscape of Glioblastoma Hit paper breakdown → | 2013 | 3977 |
| 3 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 4 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 5 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 6 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 7 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 8 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 9 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 761 |
| 10 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 11 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 12 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 13 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 14 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 15 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 16 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 17 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 18 | Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas Hit paper breakdown → | 2018 | 423 |
| 19 | 2018 | 392 | |
| 20 | 2000 | 390 |
About Bianca Pollo
Bianca Pollo is a scholar working on Genetics, Cancer Research, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 227 papers that have together received 35.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (96 papers), Meningioma and schwannoma management (26 papers), Cancer Genomics and Diagnostics (24 papers), Brain Metastases and Treatment (13 papers), Epigenetics and DNA Methylation (11 papers), CAR-T cell therapy research (9 papers), Neurofibromatosis and Schwannoma Cases (9 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Cancer Research (9.4k citations), Genetics (5.8k citations), Oncology (8.3k citations), Molecular Biology (15.6k citations) and Pulmonary and Respiratory Medicine (5.9k citations). Bianca Pollo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gaetano Finocchiaro, Francesco DiMeco, Maria Grazia Bruzzone, Giovanni Broggi, Marica Eoli, Andrea Salmaggi, Antonio Silvani, Amerigo Boiardi, Sara Benedetti and Emanuela Maderna. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, Neurological Sciences, Cell Reports and Cell.
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.