Roberta Bertorelle
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- V. Blatt (4 shared papers)Enrico Franceschi (6 shared papers)Alba A. Brandes (5 shared papers)Mario Ermani (4 shared papers)Alicia Tosoni (2 shared papers)Annalisa Pession (3 shared papers)Donato Nitti (13 shared papers)Anita De Rossi (11 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Blood (4 papers)Annals of Oncology (4 papers)British Journal of Cancer (4 papers)Clinical Cancer Research (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Roberta Bertorelle
93 papers receiving 2.8k citations
Roberta Bertorelle's Hit Papers
Peers
Comparison fields: 5 of 92
- Genetics 1.2k
- Cancer Research 400
- Oncology 589
- Pathology and Forensic Medicine 279
- Pulmonary and Respiratory Medicine 468
Countries citing papers authored by Roberta Bertorelle
This map shows the geographic impact of Roberta Bertorelle'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 Roberta Bertorelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Bertorelle more than expected).
Fields of papers citing papers by Roberta Bertorelle
This network shows the impact of papers produced by Roberta Bertorelle. 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 Roberta Bertorelle. The network helps show where Roberta Bertorelle may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta Bertorelle, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MGMT Promoter Methylation Status Can Predict the Incidence and Outcome of Pseudoprogression After Concomitant Radiochemotherapy in Newly Diagnosed Glioblastoma Patients Hit paper breakdown → | 2008 | 634 |
| 2 | 2006 | 184 | |
| 3 | 2006 | 144 | |
| 4 | 2010 | 103 | |
| 5 | 2006 | 103 | |
| 6 | 2018 | 83 | |
| 7 | 2008 | 76 | |
| 8 | 2014 | 66 | |
| 9 | 2008 | 62 | |
| 10 | 2009 | 56 | |
| 11 | 2013 | 56 | |
| 12 | 2015 | 50 | |
| 13 | 2015 | 49 | |
| 14 | 1995 | 49 | |
| 15 | 2007 | 47 | |
| 16 | Prognostic and predictive implications of EGFR mutations, EGFR copy number and KRAS mutations in advanced stage lung adenocarcinoma. | 2010 | 45 |
| 17 | 2013 | 44 | |
| 18 | 2014 | 42 | |
| 19 | 2013 | 41 | |
| 20 | 2004 | 41 |
About Roberta Bertorelle
Roberta Bertorelle is a scholar working on Genetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 93 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Chronic Lymphocytic Leukemia Research (10 papers), Genetic factors in colorectal cancer (10 papers), Cancer-related Molecular Pathways (8 papers), Cervical Cancer and HPV Research (7 papers), Lung Cancer Treatments and Mutations (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (400 citations), Oncology (589 citations), Pathology and Forensic Medicine (279 citations) and Pulmonary and Respiratory Medicine (468 citations). Roberta Bertorelle has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include V. Blatt, Enrico Franceschi, Alba A. Brandes, Mario Ermani, Alicia Tosoni, Annalisa Pession, Donato Nitti, Anita De Rossi, Alvaro Andreoli and Marco Leonardi. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, British Journal of Cancer and Clinical 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.