Barbara Banelli
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
- Neurology 16
- Neuroblastoma Research and Treatments 15
- Co-authors
- Massimo Romani (48 shared papers)Giorgio Allemanni (25 shared papers)Maria Pia Pistillo (15 shared papers)Ida Casciano (26 shared papers)Alessandra Forlani (13 shared papers)Angela Di Vinci (17 shared papers)Anna Morabito (10 shared papers)Mirco Ponzoni (7 shared papers)
- Journals
- Oncotarget (4 papers)Cell Death and Differentiation (3 papers)International Journal of Cancer (3 papers)Laboratory Investigation (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Barbara Banelli
70 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 579
- Oncology 596
- Genetics 212
- Molecular Biology 1.2k
- Neurology 260
Countries citing papers authored by Barbara Banelli
This map shows the geographic impact of Barbara Banelli'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 Barbara Banelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Banelli more than expected).
Fields of papers citing papers by Barbara Banelli
This network shows the impact of papers produced by Barbara Banelli. 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 Barbara Banelli. The network helps show where Barbara Banelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Banelli, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 151 | |
| 2 | 2017 | 129 | |
| 3 | 2015 | 112 | |
| 4 | 2015 | 101 | |
| 5 | 2018 | 88 | |
| 6 | 2019 | 80 | |
| 7 | 2018 | 74 | |
| 8 | 2018 | 73 | |
| 9 | 2002 | 64 | |
| 10 | 2005 | 62 | |
| 11 | 2004 | 59 | |
| 12 | 2019 | 58 | |
| 13 | 2017 | 56 | |
| 14 | 2004 | 47 | |
| 15 | 2015 | 46 | |
| 16 | 2016 | 45 | |
| 17 | 2011 | 39 | |
| 18 | 2016 | 39 | |
| 19 | 2003 | 38 | |
| 20 | 2011 | 38 |
About Barbara Banelli
Barbara Banelli is a scholar working on Neurology, Cancer Research, Oncology, Immunology and Molecular Biology, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (21 papers), Neuroblastoma Research and Treatments (15 papers), Immunotherapy and Immune Responses (9 papers), Cancer-related Molecular Pathways (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (579 citations), Oncology (596 citations), Genetics (212 citations), Molecular Biology (1.2k citations) and Neurology (260 citations). Barbara Banelli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Massimo Romani, Giorgio Allemanni, Maria Pia Pistillo, Ida Casciano, Alessandra Forlani, Angela Di Vinci, Anna Morabito, Mirco Ponzoni, Roberta Carosio and Gabriella Pagnan. Their work appears in journals such as Oncotarget, Cell Death and Differentiation, International Journal of Cancer, Laboratory Investigation and International Journal of Molecular Sciences.
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.