Riccardo Cazzoli

1.0k total citations
9 papers, 614 citations indexed

About

Riccardo Cazzoli is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Riccardo Cazzoli has authored 9 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Riccardo Cazzoli's work include Nanoparticle-Based Drug Delivery (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Riccardo Cazzoli is often cited by papers focused on Nanoparticle-Based Drug Delivery (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Riccardo Cazzoli collaborates with scholars based in Italy, Australia and Austria. Riccardo Cazzoli's co-authors include Antonio Marchetti, Harvey I. Pass, William N. Rom, Fiamma Buttitta, Sara Malatesta, Marta Di Nicola, Saverio Minucci, Marco Foiani, Mohamed Elgendy and Pier Giuseppe Pelicci and has published in prestigious journals such as Cancer Cell, Cancer Research and Cell Reports.

In The Last Decade

Riccardo Cazzoli

9 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Riccardo Cazzoli Italy	4	494	396	90	72	36	9	614
Paola Tiberio Italy	12	448 0.9×	349 0.9×	89 1.0×	47 0.7×	32 0.9×	39	624
María Victoria Ruiz-Pérez Sweden	8	331 0.7×	243 0.6×	55 0.6×	51 0.7×	33 0.9×	11	491
Meng Xue China	18	482 1.0×	255 0.6×	115 1.3×	119 1.7×	53 1.5×	40	708
Margherita Puppo Italy	8	391 0.8×	279 0.7×	172 1.9×	65 0.9×	34 0.9×	11	605
Jia Xiong China	6	435 0.9×	273 0.7×	94 1.0×	46 0.6×	103 2.9×	8	588
I‐Shan Hsieh Taiwan	10	386 0.8×	265 0.7×	94 1.0×	48 0.7×	60 1.7×	12	545
Yibing Fu China	13	372 0.8×	274 0.7×	76 0.8×	42 0.6×	99 2.8×	20	598
Rachel J. Suetani Australia	9	434 0.9×	313 0.8×	185 2.1×	28 0.4×	37 1.0×	12	617

Countries citing papers authored by Riccardo Cazzoli

Since Specialization

Citations

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

Fields of papers citing papers by Riccardo Cazzoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Cazzoli

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

All Works

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9 of 9 papers shown

Jue, Toni Rose, Riccardo Cazzoli, Jourdin R.C. Rouaen, et al.. (2024). Abstract 1418: Priming of the glioblastoma tumour microenvironment via copper chelation to enhance the efficacy of immunotherapies. Cancer Research. 84(6_Supplement). 1418–1418. 1 indexed citations

Cazzoli, Riccardo, et al.. (2024). Abstract 439: Tackling oxidative phosphorylation of glioblastoma stem cells through the specific impairment of transmembrane chloride intracellular channel 1. Cancer Research. 84(6_Supplement). 439–439. 1 indexed citations

Cella, Chiara Alessandra, Riccardo Cazzoli, Nicola Fazio, et al.. (2023). Cabozantinib in neuroendocrine tumors: tackling drug activity and resistance mechanisms. Endocrine Related Cancer. 30(12). 2 indexed citations

Cazzoli, Riccardo, Francesco Romeo, Isabella Pallavicini, et al.. (2023). Endogenous PP2A inhibitor CIP2A degradation by chaperone-mediated autophagy contributes to the antitumor effect of mitochondrial complex I inhibition. Cell Reports. 42(6). 112616–112616. 10 indexed citations

Cazzoli, Riccardo, Maria Laura Ermini, Manuela Curcio, et al.. (2023). Evolving approaches in glioma treatment: harnessing the potential of copper metabolism modulation. RSC Advances. 13(48). 34045–34056. 5 indexed citations

Cazzoli, Riccardo, Stefania Faletti, Stefania Girotto, et al.. (2022). Abstract 903: Metformin antitumoral activity is exclusively mediated by the membrane functional expression of the Chloride Intracellular Channel 1 in glioblastoma stem cells. Cancer Research. 82(12_Supplement). 903–903. 1 indexed citations

Elgendy, Mohamed, Marco Cirò, Amir Hosseini, et al.. (2019). Combination of Hypoglycemia and Metformin Impairs Tumor Metabolic Plasticity and Growth by Modulating the PP2A-GSK3β-MCL-1 Axis. Cancer Cell. 35(5). 798–815.e5. 224 indexed citations

Cazzoli, Riccardo, Fiamma Buttitta, Marta Di Nicola, et al.. (2013). microRNAs Derived from Circulating Exosomes as Noninvasive Biomarkers for Screening and Diagnosing Lung Cancer. Journal of Thoracic Oncology. 8(9). 1156–1162. 368 indexed citations

Cazzoli, Riccardo & Luca Tomesani. (1997). Development of a Computationally Efficient Process Simulation for Laser Drilling. IFAC Proceedings Volumes. 30(1). 405–410. 2 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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