Roberta Bertorelle
Impact in
Papers in
- Co-authors
- Alba Ariela Brandes (4 shared papers)Enrico Franceschi (4 shared papers)Valeria Blatt (4 shared papers)Mario Ermani (4 shared papers)Annalisa Pession (2 shared papers)Alicia Tosoni (2 shared papers)Donato Nitti (13 shared papers)Anita De Rossi (15 shared papers)
- Journals
- British Journal of Cancer (5 papers)Annals of Oncology (5 papers)Clinical Cancer Research (4 papers)Leukemia (3 papers)Blood (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Roberta Bertorelle
102 papers receiving 3.6k citations
Roberta Bertorelle's Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 1.3k
- Oncology 740
- Pathology and Forensic Medicine 309
- Cancer Research 168
- Physiology 264
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 103 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 | 714 |
| 2 | 2006 | 198 | |
| 3 | 2006 | 164 | |
| 4 | 2015 | 143 | |
| 5 | 2010 | 112 | |
| 6 | 2006 | 107 | |
| 7 | 2011 | 101 | |
| 8 | 2006 | 93 | |
| 9 | 2018 | 93 | |
| 10 | 2006 | 84 | |
| 11 | 2008 | 78 | |
| 12 | 2014 | 71 | |
| 13 | 2008 | 69 | |
| 14 | 2014 | 63 | |
| 15 | 2013 | 60 | |
| 16 | 2009 | 57 | |
| 17 | 2007 | 54 | |
| 18 | 2015 | 53 | |
| 19 | 2015 | 53 | |
| 20 | 2020 | 51 |
About Roberta Bertorelle
Roberta Bertorelle is a scholar working on Genetics, Oncology, Pathology and Forensic Medicine, Physiology and Hematology, having authored 103 papers that have together received 3.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Genetic factors in colorectal cancer (12 papers), Cervical Cancer and HPV Research (8 papers), Colorectal Cancer Treatments and Studies (8 papers), Chronic Lymphocytic Leukemia Research (8 papers), Cancer-related Molecular Pathways (8 papers), Telomeres, Telomerase, and Senescence (7 papers) and Clinical Laboratory Practices and Quality Control (4 papers). The work is most often cited by research in Genetics (1.3k citations), Oncology (740 citations), Pathology and Forensic Medicine (309 citations), Cancer Research (168 citations) and Physiology (264 citations). Roberta Bertorelle has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alba Ariela Brandes, Enrico Franceschi, Valeria Blatt, Mario Ermani, Annalisa Pession, Alicia Tosoni, Donato Nitti, Anita De Rossi, Marco Leonardi and Fabio Calbucci. Their work appears in journals such as British Journal of Cancer, Annals of Oncology, Clinical Cancer Research, Leukemia and Blood.
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.