Simone Caligola

1.0k total citations
9 papers, 143 citations indexed

About

Simone Caligola is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Simone Caligola has authored 9 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Simone Caligola's work include Immune cells in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (2 papers). Simone Caligola is often cited by papers focused on Immune cells in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (2 papers). Simone Caligola collaborates with scholars based in Italy, France and Switzerland. Simone Caligola's co-authors include Annalisa Adamo, Pietro Delfino, Alessandro Gatti, Riccardo Bazzoni, Paul Takam Kamga, Mauro Krampera, Stefano Ugel, Rosalba Giugno, Daniela Cecconi and Martina Olivero and has published in prestigious journals such as Bioinformatics, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Simone Caligola

8 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Caligola Italy 6 90 50 42 33 25 9 143
Fatemeh Alikarami‬ Iran 9 107 1.2× 30 0.6× 24 0.6× 32 1.0× 12 0.5× 15 179
Cornelia Stoll Germany 5 148 1.6× 41 0.8× 48 1.1× 59 1.8× 31 1.2× 6 219
Serena Tommasini-Ghelfi United States 5 128 1.4× 36 0.7× 85 2.0× 21 0.6× 23 0.9× 6 186
Sander Lambo Germany 4 70 0.8× 36 0.7× 22 0.5× 17 0.5× 8 0.3× 6 115
Angel Ka Yan Chu United States 4 69 0.8× 37 0.7× 19 0.5× 33 1.0× 11 0.4× 8 113
Florence Zylbersztejn France 8 79 0.9× 35 0.7× 17 0.4× 30 0.9× 18 0.7× 8 153
Vasilisa A. Rudneva United States 5 127 1.4× 132 2.6× 29 0.7× 28 0.8× 46 1.8× 10 219
Salih Demir Germany 9 120 1.3× 19 0.4× 35 0.8× 52 1.6× 16 0.6× 14 217
Raquel Pereira Germany 7 69 0.8× 33 0.7× 15 0.4× 27 0.8× 33 1.3× 11 191
Charles T. Jakubik United States 3 140 1.6× 38 0.8× 19 0.5× 43 1.3× 9 0.4× 4 171

Countries citing papers authored by Simone Caligola

Since Specialization
Citations

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

Fields of papers citing papers by Simone Caligola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Caligola

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Caligola. A scholar is included among the top collaborators of Simone Caligola 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 Simone Caligola. Simone Caligola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Quaglia, Francesca Maria, Marilisa Galasso, Chiara Cavallini, et al.. (2024). B-cell receptor signaling activity identifies patients with mantle cell lymphoma at higher risk of progression. Scientific Reports. 14(1). 6595–6595. 5 indexed citations
2.
Belluomini, Lorenzo, Ursula Cesta Incani, Alice Avancini, et al.. (2024). Prognostic impact of Interleukin-8 levels in lung cancer: A meta-analysis and a bioinformatic validation. Lung Cancer. 194. 107893–107893. 4 indexed citations
3.
Caligola, Simone, Stefania Canè, Antonio Vella, et al.. (2024). GateMeClass: Gate Mining and Classification of cytometry data. Bioinformatics. 40(5). 1 indexed citations
4.
Turri, Giulia, Simone Caligola, Stefano Ugel, et al.. (2023). Pre-diagnostic prognostic value of leukocytes count and neutrophil-to-lymphocyte ratio in patients who develop colorectal cancer. Frontiers in Oncology. 13. 1148197–1148197. 5 indexed citations
5.
Caligola, Simone, Francesco De Sanctis, Stefania Canè, & Stefano Ugel. (2022). Breaking the Immune Complexity of the Tumor Microenvironment Using Single-Cell Technologies. Frontiers in Genetics. 13. 867880–867880. 8 indexed citations
6.
Adamo, Annalisa, Pietro Delfino, Alessandro Gatti, et al.. (2020). HS-5 and HS-27A Stromal Cell Lines to Study Bone Marrow Mesenchymal Stromal Cell-Mediated Support to Cancer Development. Frontiers in Cell and Developmental Biology. 8. 584232–584232. 29 indexed citations
7.
Loppi, Sanna, Paula Korhonen, Maria Bouvy‐Liivrand, et al.. (2020). Peripheral inflammation preceeding ischemia impairs neuronal survival through mechanisms involving miR‐127 in aged animals. Aging Cell. 20(1). e13287–e13287. 10 indexed citations
8.
Adamo, Annalisa, Jessica Brandi, Simone Caligola, et al.. (2019). Extracellular Vesicles Mediate Mesenchymal Stromal Cell-Dependent Regulation of B Cell PI3K-AKT Signaling Pathway and Actin Cytoskeleton. Frontiers in Immunology. 10. 446–446. 81 indexed citations
9.
Caligola, Simone, Tommaso Carlucci, Franco Fummi, et al.. (2019). Efficient Simulation and Parametrization of Stochastic Petri Nets in SystemC: A Case study from Systems Biology. 17. 1–7.

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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