Roberto Caserini
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 8
- Cancer Cells and Metastasis 8
- Chemokine receptors and signaling 1
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- Cancer Genomics and Diagnostics 2
- Cancer-related molecular mechanisms research 1
- Co-authors
- Ugo Pastorino (9 shared papers)Gabriella Sozzi (10 shared papers)Luca Roz (9 shared papers)Giulia Bertolini (8 shared papers)Francesca Andriani (7 shared papers)Luigi Mariani (2 shared papers)Monica Tortoreto (3 shared papers)Paola Perego (2 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Thoracic Oncology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Molecular Oncology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- ItalyJapanUnited States
In The Last Decade
Roberto Caserini
10 papers receiving 926 citations
Roberto Caserini's Hit Papers
Peers
Comparison fields: 5 of 63
- Oncology 628
- Cancer Research 259
- Biotechnology 76
- Molecular Biology 437
- Cell Biology 70
Countries citing papers authored by Roberto Caserini
This map shows the geographic impact of Roberto Caserini'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 Roberto Caserini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Caserini more than expected).
Fields of papers citing papers by Roberto Caserini
This network shows the impact of papers produced by Roberto Caserini. 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 Roberto Caserini. The network helps show where Roberto Caserini may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Caserini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Highly tumorigenic lung cancer CD133 + cells display stem-like features and are spared by cisplatin treatment Hit paper breakdown → | 2009 | 671 |
| 2 | 2015 | 100 | |
| 3 | 2015 | 82 | |
| 4 | 2017 | 34 | |
| 5 | 2012 | 21 | |
| 6 | 2016 | 18 | |
| 7 | 2012 | 3 | |
| 8 | 2011 | 2 | |
| 9 | 2014 | 1 | |
| 10 | 2015 | 1 |
About Roberto Caserini
Roberto Caserini is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Biotechnology and Molecular Biology, having authored 10 papers that have together received 933 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cancer Research and Treatments (2 papers), Cancer Genomics and Diagnostics (2 papers), Mesenchymal stem cell research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Chemokine receptors and signaling (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Oncology (628 citations), Cancer Research (259 citations), Biotechnology (76 citations), Molecular Biology (437 citations) and Cell Biology (70 citations). Roberto Caserini has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Ugo Pastorino, Gabriella Sozzi, Luca Roz, Giulia Bertolini, Francesca Andriani, Luigi Mariani, Monica Tortoreto, Paola Perego, Laura Gatti and Alessandra Fabbri. Their work appears in journals such as Cancer Research, Journal of Thoracic Oncology, Proceedings of the National Academy of Sciences, Molecular Oncology and European Journal of Cancer.
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.