Stefano Mangiola

1.8k total citations
29 papers, 517 citations indexed

About

Stefano Mangiola is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Stefano Mangiola has authored 29 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Stefano Mangiola's work include Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immune Cell Function and Interaction (4 papers). Stefano Mangiola is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immune Cell Function and Interaction (4 papers). Stefano Mangiola collaborates with scholars based in Australia, United Kingdom and United States. Stefano Mangiola's co-authors include Anthony T. Papenfuss, Maria Doyle, Christopher M. Hovens, Niall M. Corcoran, Alexander D. Barrow, Pasi K. Korhonen, Robin B. Gasser, Neil D. Young, Yaseelan Palarasah and Ross S. Hall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Scientific Reports.

In The Last Decade

Stefano Mangiola

29 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Mangiola Australia 15 203 139 128 124 113 29 517
Ayako Wakatsuki Pedersen Denmark 13 156 0.8× 28 0.2× 66 0.5× 230 1.9× 350 3.1× 25 638
Felipe Beckedorff United States 15 775 3.8× 38 0.3× 448 3.5× 70 0.6× 55 0.5× 28 1.0k
Margarida Gama‐Carvalho Portugal 16 661 3.3× 25 0.2× 155 1.2× 39 0.3× 78 0.7× 46 859
Marinella Messina Australia 15 266 1.3× 33 0.2× 76 0.6× 178 1.4× 50 0.4× 26 823
Stuart D Pepper United Kingdom 19 603 3.0× 48 0.3× 145 1.1× 277 2.2× 83 0.7× 26 999
Ján Radvánszky Slovakia 13 266 1.3× 28 0.2× 163 1.3× 36 0.3× 44 0.4× 33 547
Michael Markey United States 15 480 2.4× 59 0.4× 152 1.2× 275 2.2× 38 0.3× 24 686
Yizhao Luan China 11 424 2.1× 54 0.4× 63 0.5× 156 1.3× 124 1.1× 16 733
Ilkka Lappalainen Finland 12 463 2.3× 59 0.4× 58 0.5× 35 0.3× 123 1.1× 15 689
Mark Horswill United States 13 452 2.2× 89 0.6× 259 2.0× 115 0.9× 91 0.8× 18 858

Countries citing papers authored by Stefano Mangiola

Since Specialization
Citations

This map shows the geographic impact of Stefano Mangiola'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 Stefano Mangiola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Mangiola more than expected).

Fields of papers citing papers by Stefano Mangiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano Mangiola. 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 Stefano Mangiola. The network helps show where Stefano Mangiola may publish in the future.

Co-authorship network of co-authors of Stefano Mangiola

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Mangiola. A scholar is included among the top collaborators of Stefano Mangiola 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 Stefano Mangiola. Stefano Mangiola 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.
Li, Ying, et al.. (2025). Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods. Genes. 16(4). 452–452. 1 indexed citations
2.
Khan, Md. Abdullah‐Al‐Kamran, et al.. (2023). cellsig plug-in enhances CIBERSORTx signature selection for multidataset transcriptomes with sparse multilevel modelling. Bioinformatics. 39(12). 2 indexed citations
3.
Mangiola, Stefano, Alexandra J. Roth‐Schulze, Marie Trussart, et al.. (2023). sccomp: Robust differential composition and variability analysis for single-cell data. Proceedings of the National Academy of Sciences. 120(33). e2203828120–e2203828120. 13 indexed citations
4.
Khan, Md. Abdullah‐Al‐Kamran, et al.. (2023). IL17RB and IL17REL Expression Are Associated with Improved Prognosis in HPV-Infected Head and Neck Squamous Cell Carcinomas. Pathogens. 12(4). 572–572. 1 indexed citations
5.
Mangiola, Stefano, Geoff Macintyre, Ryan Hutchinson, et al.. (2021). MSH2-deficient prostate tumours have a distinct immune response and clinical outcome compared to MSH2-deficient colorectal or endometrial cancer. Prostate Cancer and Prostatic Diseases. 24(4). 1167–1180. 6 indexed citations
6.
Mangiola, Stefano, Maria Doyle, & Anthony T. Papenfuss. (2021). Interfacing Seurat with the R tidy universe. Bioinformatics. 37(22). 4100–4107. 82 indexed citations
7.
Mangiola, Stefano, Evan A. Thomas, Martin Modrák, Aki Vehtari, & Anthony T. Papenfuss. (2021). Probabilistic outlier identification for RNA sequencing generalized linear models. NAR Genomics and Bioinformatics. 3(1). lqab005–lqab005. 9 indexed citations
8.
Mangiola, Stefano, et al.. (2021). tidybulk: an R tidy framework for modular transcriptomic data analysis. Genome biology. 22(1). 42–42. 19 indexed citations
9.
Khan, Md. Abdullah‐Al‐Kamran, et al.. (2021). A Transcriptional Signature of IL-2 Expanded Natural Killer Cells Predicts More Favorable Prognosis in Bladder Cancer. Frontiers in Immunology. 12. 724107–724107. 22 indexed citations
10.
Lelliott, Emily J., Stefano Mangiola, Kelly M. Ramsbottom, et al.. (2020). Combined BRAF, MEK, and CDK4/6 Inhibition Depletes Intratumoral Immune-Potentiating Myeloid Populations in Melanoma. Cancer Immunology Research. 9(2). 136–146. 15 indexed citations
11.
Mangiola, Stefano & Anthony T. Papenfuss. (2020). tidyHeatmap: an R package for modular heatmap production based on tidy principles. The Journal of Open Source Software. 5(52). 2472–2472. 40 indexed citations
12.
Lau, Edmund, Fairleigh Reeves, Ken Chow, et al.. (2020). Detection of ctDNA in plasma of patients with clinically localised prostate cancer is associated with rapid disease progression. Genome Medicine. 12(1). 72–72. 42 indexed citations
13.
Kwan, Edmond M., Heidi Fettke, Maria Docanto, et al.. (2019). Prognostic Utility of a Whole-blood Androgen Receptor-based Gene Signature in Metastatic Castration-resistant Prostate Cancer. European Urology Focus. 7(1). 63–70. 11 indexed citations
14.
Chow, Ken, Stefano Mangiola, Justin S. Peters, et al.. (2018). Obesity suppresses tumor attributable PSA, affecting risk categorization. Endocrine Related Cancer. 25(5). 561–568. 4 indexed citations
15.
Stylli, Stanley S., Natalie J. Kurganovs, Stefano Mangiola, et al.. (2018). Cell quiescence correlates with enhanced glioblastoma cell invasion and cytotoxic resistance. Experimental Cell Research. 374(2). 353–364. 28 indexed citations
16.
Mangiola, Stefano, Matthew Hong, Marek Cmero, et al.. (2016). Comparing nodal versus bony metastatic spread using tumour phylogenies. Scientific Reports. 6(1). 33918–33918. 14 indexed citations
17.
Breugelmans, Bert, Aaron R. Jex, Pasi K. Korhonen, et al.. (2014). Bioinformatic exploration of RIO protein kinases of parasitic and free-living nematodes. International Journal for Parasitology. 44(11). 827–836. 13 indexed citations
18.
Mangiola, Stefano, Neil D. Young, Paul W. Sternberg, et al.. (2014). Analysis of the transcriptome of adult Dictyocaulus filaria and comparison with Dictyocaulus viviparus, with a focus on molecules involved in host–parasite interactions. International Journal for Parasitology. 44(3-4). 251–261. 5 indexed citations
19.
Campos, Túlio de Lima, Neil D. Young, Pasi K. Korhonen, et al.. (2014). Identification of G protein-coupled receptors in Schistosoma haematobium and S. mansoni by comparative genomics. Parasites & Vectors. 7(1). 242–242. 34 indexed citations
20.
Mangiola, Stefano, Neil D. Young, Pasi K. Korhonen, et al.. (2012). Getting the most out of parasitic helminth transcriptomes using HelmDB: Implications for biology and biotechnology. Biotechnology Advances. 31(8). 1109–1119. 21 indexed citations

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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