Piero Dalerba
- Oncology top 0.1%
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Immunology top 1%
- Cell Biology top 1%
- Co-authors
- Michael F. ClarkeRobert W. ChoDiane M. SimeoneLanjing ZhangChenwei LiDavid G. HeidtCharles BurantMax S. Wicha
- Topics
- Cancer Cells and Metastasis (17 papers)Immunotherapy and Immune Responses (13 papers)MicroRNA in disease regulation (7 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Piero Dalerba
43 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Oncology 7.4k
- Molecular Biology 6.7k
- Cancer Research 3.6k
- Immunology 1.7k
- Cell Biology 894
Countries citing papers authored by Piero Dalerba
This map shows the geographic impact of Piero Dalerba'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 Piero Dalerba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piero Dalerba more than expected).
Fields of papers citing papers by Piero Dalerba
This network shows the impact of papers produced by Piero Dalerba. 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 Piero Dalerba. The network helps show where Piero Dalerba may publish in the future.
Co-authorship network of co-authors of Piero Dalerba
This figure shows the co-authorship network connecting the top 25 collaborators of Piero Dalerba. A scholar is included among the top collaborators of Piero Dalerba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piero Dalerba. Piero Dalerba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 54 | |
| 8 | Fusobacterium nucleatum promotes colorectal cancer by inducing Wnt/β‐catenin modulator Annexin A1breakdown → | 386 |
| 9 | 9 | |
| 10 | CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancerbreakdown → | 330 |
| 11 | 155 | |
| 12 | Analysis of Human Colon Tissue Cell Composition Using Single-Cell Gene-Expression PCR | 2 |
| 13 | Downregulation of miRNA-200c Links Breast Cancer Stem Cells with Normal Stem Cellsbreakdown → | 971 |
| 14 | The Prognostic Role of a Gene Signature from Tumorigenic Breast-Cancer Cellsbreakdown → | 742 |
| 15 | Cancer Stem Cells: Models and Conceptsbreakdown → | 987 |
| 16 | 22 | |
| 17 | 114 | |
| 18 | 324 | |
| 19 | 227 | |
| 20 | 43 |
About Piero Dalerba
Piero Dalerba is a scholar working on Oncology, Cancer Research and Immunology, having authored 47 papers that have together received 11.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (17 papers), Immunotherapy and Immune Responses (13 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Oncology (7.4k citations), Cancer Research (3.6k citations) and Molecular Biology (6.7k citations). Piero Dalerba has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Michael F. Clarke, Robert W. Cho, Diane M. Simeone, Lanjing Zhang, Chenwei Li, David G. Heidt, Charles Burant, Max S. Wicha, Volkan Adsay and Chiara Castelli. Their work appears in journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of 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.