Ivana Manini

1.2k total citations
25 papers, 894 citations indexed

About

Ivana Manini is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ivana Manini has authored 25 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Ivana Manini's work include Extracellular vesicles in disease (7 papers), Glioma Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (5 papers). Ivana Manini is often cited by papers focused on Extracellular vesicles in disease (7 papers), Glioma Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (5 papers). Ivana Manini collaborates with scholars based in Italy, China and Germany. Ivana Manini's co-authors include Daniela Cesselli, Antonio Paolo Beltrami, Federica Caponnetto, Carla Di Loreto, Miran Škrap, Tamara Ius, Vincenzo Sorrentino, Barbara Toffoletto, Enrico Pierantozzi and Barbara Gava and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Journal of Cell Science.

In The Last Decade

Ivana Manini

24 papers receiving 879 citations

Peers

Ivana Manini

GENET

SURGE

ONCOL

Daniel Dan Liu United States

Mika Pietilä Finland

И. В. Холоденко Russia

Christine Fehrer Austria

Jonathon Parkinson Australia

Benjamin Himes United States

Phillip E. Herrbrich United States

Hao Duan China

Luis Ignacio Sánchez‐Abarca Spain

Daniel R. Boué United States

Daniel Dan Liu United States

Ivana Manini

461 ×0.9

303 ×0.9

GENET

180 ×0.7

182 ×1.2

SURGE

187 ×1.3

ONCOL

Citations per year, relative to Ivana Manini Ivana Manini (= 1×) peers Daniel Dan Liu

Countries citing papers authored by Ivana Manini

Since Specialization

Citations

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

Fields of papers citing papers by Ivana Manini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Manini

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

All Works

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20 of 20 papers shown

Parise, Angela, Ivana Manini, Sonia Covaceuszach, et al.. (2025). Identification of a new small Rho GTPase inhibitor effective in glioblastoma human cells. European Journal of Medicinal Chemistry. 292. 117704–117704. 1 indexed citations

Spelat, Renza, Daniela Cesselli, Ivana Manini, et al.. (2024). Mechanisms of Glioblastoma Replication: Ca2+ Flares and Cl− Currents. Molecular Cancer Research. 22(9). 852–863.

Spelat, Renza, Ivana Manini, Tamara Ius, et al.. (2024). Exosomal TNF-α mediates voltage-gated Na+ channel 1.6 overexpression and contributes to brain tumor–induced neuronal hyperexcitability. Journal of Clinical Investigation. 134(18). 6 indexed citations

Manini, Ivana, et al.. (2024). Glioma-Derived Exosomes and Their Application as Drug Nanoparticles. International Journal of Molecular Sciences. 25(23). 12524–12524. 2 indexed citations

Bo, Michele Dal, Maurizio Polano, Tamara Ius, et al.. (2023). Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection. Journal of Translational Medicine. 21(1). 450–450. 7 indexed citations

Caponnetto, Federica, Maria De Martino, Ivana Manini, et al.. (2023). Extracellular vesicle features are associated with COVID‐19 severity. Journal of Cellular and Molecular Medicine. 27(24). 4107–4117. 4 indexed citations

Ricciardi, Luca, Ivana Manini, Daniela Cesselli, et al.. (2022). Carmustine Wafers Implantation in Patients With Newly Diagnosed High Grade Glioma: Is It Still an Option?. Frontiers in Neurology. 13. 884158–884158. 14 indexed citations

Caponnetto, Federica, Emiliano Dalla, Damiano Mangoni, et al.. (2020). The miRNA Content of Exosomes Released from the Glioma Microenvironment Can Affect Malignant Progression. Biomedicines. 8(12). 564–564. 21 indexed citations

Manini, Ivana, Federica Caponnetto, Emiliano Dalla, et al.. (2020). Heterogeneity Matters: Different Regions of Glioblastoma Are Characterized by Distinctive Tumor-Supporting Pathways. Cancers. 12(10). 2960–2960. 25 indexed citations

10.

Spelat, Renza, Daniela Cesselli, Tamara Ius, et al.. (2020). Mechanisms of malignancy in glioblastoma cells are linked to mitochondrial Ca2+ uniporter upregulation and higher intracellular Ca2+ levels. Journal of Cell Science. 133(6). 20 indexed citations

11.

Manini, Ivana, Maria Elisabetta Ruaro, Riccardo Sgarra, et al.. (2019). Semaphorin-7A on Exosomes: A Promigratory Signal in the Glioma Microenvironment. Cancers. 11(6). 758–758. 22 indexed citations

12.

Domenis, Rossana, Daniela Cesselli, Barbara Toffoletto, et al.. (2017). Systemic T Cells Immunosuppression of Glioma Stem Cell-Derived Exosomes Is Mediated by Monocytic Myeloid-Derived Suppressor Cells. PLoS ONE. 12(1). e0169932–e0169932. 148 indexed citations

13.

Caponnetto, Federica, Ivana Manini, Miran Škrap, et al.. (2016). Size-dependent cellular uptake of exosomes. Nanomedicine Nanotechnology Biology and Medicine. 13(3). 1011–1020. 145 indexed citations

14.

Domenis, Rossana, Damiano Mangoni, Evgenia Bourkoula, et al.. (2015). Adipose tissue derived stem cells: in vitro and in vivo analysis of a standard and three commercially available cell-assisted lipotransfer techniques. Stem Cell Research & Therapy. 6(1). 2–2. 103 indexed citations

15.

Manini, Ivana, et al.. (2013). The DeISGylase USP18 limits TRAIL-induced apoptosis through the regulation of TRAIL levels. Cancer Biology & Therapy. 14(12). 1158–1166. 16 indexed citations

16.

Sgorbissa, Andrea, et al.. (2011). Type I IFNs signaling and apoptosis resistance in glioblastoma cells. APOPTOSIS. 16(12). 1229–1244. 35 indexed citations

17.

Manini, Ivana, Barbara Gava, Enrico Pierantozzi, et al.. (2011). Multi-potent progenitors in freshly isolated and cultured human mesenchymal stem cells: a comparison between adipose and dermal tissue. Cell and Tissue Research. 344(1). 85–95. 26 indexed citations

18.

Gambelli, Federica, Ivana Manini, Carla Gambarana, et al.. (2011). Identification of cancer stem cells from human glioblastomas: growth and differentiation capabilities and CD133/prominin‐1 expression. Cell Biology International. 36(1). 29–38. 19 indexed citations

19.

Pierantozzi, Enrico, Barbara Gava, Ivana Manini, et al.. (2010). Pluripotency Regulators in Human Mesenchymal Stem Cells: Expression of NANOG But Not of OCT-4 and SOX-2. Stem Cells and Development. 20(5). 915–923. 131 indexed citations

20.

Rossi, Daniela, et al.. (2006). Expression and functional activity of ryanodine receptors (RyRs) during skeletal muscle development. Cell Calcium. 41(6). 573–580. 13 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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