Piero Dalerba

18.6k total citations · 9 hit papers
47 papers, 11.8k citations indexed

About

Piero Dalerba is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Piero Dalerba has authored 47 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 22 papers in Molecular Biology and 13 papers in Immunology. Recurrent topics in Piero Dalerba's work include Cancer Cells and Metastasis (17 papers), Immunotherapy and Immune Responses (13 papers) and MicroRNA in disease regulation (7 papers). Piero Dalerba is often cited by papers focused on Cancer Cells and Metastasis (17 papers), Immunotherapy and Immune Responses (13 papers) and MicroRNA in disease regulation (7 papers). Piero Dalerba collaborates with scholars based in United States, Italy and Japan. Piero Dalerba's 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 and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Piero Dalerba

43 papers receiving 11.5k citations

Hit Papers

Identification of Pancreatic Cancer Stem Cells 2006 2026 2012 2019 2007 2007 2007 2006 2009 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of Pancreatic Cancer Stem Cells
    2007 2.6k citations Piero Dalerba, Michael F. Clarke et al. Cancer Research profile →
  2. Phenotypic characterization of human colorectal cancer stem cells
    2007 1.7k citations Piero Dalerba, Rui Liu et al. profile →
  3. Identification of a subpopulation of cells with cancer stem cell properties in head and neck squamous cell carcinoma
    2007 1.7k citations Piero Dalerba, Michael F. Clarke et al. profile →
  4. Cancer Stem Cells: Models and Concepts
    2006 987 citations Piero Dalerba, Robert W. Cho et al. Annual Review of Medicine profile →
  5. Downregulation of miRNA-200c Links Breast Cancer Stem Cells with Normal Stem Cells
    2009 971 citations Yohei Shimono, Maider Zabala et al. Cell profile →
  6. The Prognostic Role of a Gene Signature from Tumorigenic Breast-Cancer Cells
    2007 742 citations Rui Liu, Xinhao Wang et al. New England Journal of Medicine profile →
  7. Quantitative assessment of single-cell RNA-sequencing methods
    2013 535 citations Tomer Kalisky, Piero Dalerba et al. profile →
  8. Fusobacterium nucleatum promotes colorectal cancer by inducing Wnt/β‐catenin modulator Annexin A1
    2019 386 citations Mara Roxana Rubinstein, Jung Eun Baik et al. EMBO Reports profile →
  9. CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer
    2016 330 citations Piero Dalerba, Debashis Sahoo et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Piero Dalerba United States 26 7.4k 6.7k 3.6k 1.7k 894 47 11.8k
Mauro Biffoni Italy 42 5.7k 0.8× 6.8k 1.0× 4.4k 1.2× 1.2k 0.7× 1.1k 1.2× 110 11.6k
Ferenc Reinhardt United States 37 5.8k 0.8× 6.7k 1.0× 4.0k 1.1× 1.5k 0.9× 1.3k 1.4× 51 11.0k
Piyush B. Gupta United States 32 7.1k 1.0× 7.8k 1.2× 3.5k 1.0× 1.3k 0.8× 1.6k 1.8× 55 13.1k
Charlotte Kuperwasser United States 45 6.8k 0.9× 6.4k 1.0× 3.0k 0.8× 815 0.5× 1.1k 1.2× 91 11.1k
Emmanuelle Charafe‐Jauffret France 50 7.8k 1.0× 7.2k 1.1× 4.7k 1.3× 1.0k 0.6× 814 0.9× 139 12.8k
Paula D. Bos United States 17 4.2k 0.6× 5.1k 0.8× 3.5k 1.0× 1.5k 0.9× 691 0.8× 33 9.5k
Thea D. Tlsty United States 50 4.9k 0.7× 5.7k 0.9× 2.8k 0.8× 819 0.5× 1.0k 1.1× 109 10.6k
Dominique Bonnet United Kingdom 52 6.0k 0.8× 7.2k 1.1× 2.3k 0.7× 4.2k 2.4× 867 1.0× 180 16.4k
Jane Bayani Canada 38 4.8k 0.6× 5.7k 0.8× 3.2k 0.9× 771 0.5× 814 0.9× 111 10.5k
Elisabeth A. Seftor United States 63 4.7k 0.6× 9.5k 1.4× 4.8k 1.3× 1.4k 0.8× 2.0k 2.3× 124 13.9k

Countries citing papers authored by Piero Dalerba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Bianco, Paola Del, Rocco Cappellesso, Marco Tonello, et al.. (2024). Stemness and hybrid epithelial‐mesenchymal profiles guide peritoneal dissemination of malignant mesothelioma and pseudomyxoma peritonei. International Journal of Cancer. 156(1). 201–215.
3.
Worley, Jeremy, Daoqi You, Mikko Turunen, et al.. (2024). Abstract PR01: Identification and pharmacological targeting of treatment-resistant, stem-like breast cancer cells for combination therapy. Cancer Research. 84(3_Supplement_1). PR01–PR01. 1 indexed citations
4.
Viragova, Sara, Luis Aparicio, Junfei Zhao, et al.. (2023). Inverse agonists of retinoic acid receptor/retinoid X receptor signaling as lineage-specific antitumor agents against human adenoid cystic carcinoma. JNCI Journal of the National Cancer Institute. 115(7). 838–852. 6 indexed citations
5.
Wu, Eric Q., Alexandro E. Trevino, Zhenqin Wu, et al.. (2023). 7-UP: Generating in silico CODEX from a small set of immunofluorescence markers. PNAS Nexus. 2(6). pgad171–pgad171. 12 indexed citations
6.
Hisamori, Shigeo, Sanjay Koul, Takanori Hayashi, et al.. (2022). Upregulation of BMI1-suppressor miRNAs (miR-200c, miR-203) during terminal differentiation of colon epithelial cells. Journal of Gastroenterology. 57(6). 407–422. 5 indexed citations
7.
Isobe, Taichi, Qingjiang Hu, Takanori Hayashi, et al.. (2019). miR-221 Targets QKI to Enhance the Tumorigenic Capacity of Human Colorectal Cancer Stem Cells. Cancer Research. 79(20). 5151–5158. 54 indexed citations
8.
Rubinstein, Mara Roxana, Jung Eun Baik, Stephen M. Lagana, et al.. (2019). Fusobacterium nucleatum promotes colorectal cancer by inducing Wnt/β‐catenin modulator Annexin A1. EMBO Reports. 20(4). 386 indexed citations breakdown →
9.
Kanter, Itamar, Piero Dalerba, & Tomer Kalisky. (2018). A cluster robustness score for identifying cell subpopulations in single cell gene expression datasets from heterogeneous tissues and tumors. Bioinformatics. 35(6). 962–971. 9 indexed citations
10.
Dalerba, Piero, Debashis Sahoo, Soonmyung Paik, et al.. (2016). CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon Cancer. New England Journal of Medicine. 374(3). 211–222. 330 indexed citations breakdown →
11.
Isobe, Taichi, Shigeo Hisamori, Daniel J. Hogan, et al.. (2014). miR-142 regulates the tumorigenicity of human breast cancer stem cells through the canonical WNT signaling pathway. eLife. 3. 155 indexed citations
12.
Kalisky, Tomer, Pradeep S. Rajendran, Debashis Sahoo, et al.. (2013). Analysis of Human Colon Tissue Cell Composition Using Single-Cell Gene-Expression PCR. Journal of Biomolecular Techniques JBT. 24. 2 indexed citations
13.
Shimono, Yohei, Maider Zabala, Robert W. Cho, et al.. (2009). Downregulation of miRNA-200c Links Breast Cancer Stem Cells with Normal Stem Cells. Cell. 138(3). 592–603. 971 indexed citations breakdown →
14.
Liu, Rui, Xinhao Wang, Grace Chen, et al.. (2007). The Prognostic Role of a Gene Signature from Tumorigenic Breast-Cancer Cells. New England Journal of Medicine. 356(3). 217–226. 742 indexed citations breakdown →
15.
Dalerba, Piero, Robert W. Cho, & Michael F. Clarke. (2006). Cancer Stem Cells: Models and Concepts. Annual Review of Medicine. 58(1). 267–284. 987 indexed citations breakdown →
16.
Dalerba, Piero, Cristiana Guiducci, Pietro Luigi Poliani, et al.. (2005). Reconstitution of Human Telomerase Reverse Transcriptase Expression Rescues Colorectal Carcinoma Cells from In vitro Senescence: Evidence against Immortality as a Constitutive Trait of Tumor Cells. Cancer Research. 65(6). 2321–2329. 22 indexed citations
17.
Dalerba, Piero, Cristina Maccalli, Chiara Casati, Chiara Castelli, & Giorgio Parmiani. (2003). Immunology and immunotherapy of colorectal cancer. Critical Reviews in Oncology/Hematology. 46(1). 33–57. 114 indexed citations
18.
Parmiani, Giorgio, Chiara Castelli, Piero Dalerba, et al.. (2002). Cancer Immunotherapy With Peptide-Based Vaccines: What Have We Achieved? Where Are We Going?. JNCI Journal of the National Cancer Institute. 94(11). 805–818. 324 indexed citations
19.
Rivoltini, Licia, Matteo Giovanni Carrabba, Veronica Huber, et al.. (2002). Immunity to cancer: attack and escape in T lymphocyte–tumor cell interaction. Immunological Reviews. 188(1). 97–113. 227 indexed citations
20.

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.

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