Sanja Aveic

3.7k total citations
48 papers, 915 citations indexed

About

Sanja Aveic is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Sanja Aveic has authored 48 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Neurology and 13 papers in Cell Biology. Recurrent topics in Sanja Aveic's work include Neuroblastoma Research and Treatments (18 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Cellular Mechanics and Interactions (9 papers). Sanja Aveic is often cited by papers focused on Neuroblastoma Research and Treatments (18 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Cellular Mechanics and Interactions (9 papers). Sanja Aveic collaborates with scholars based in Italy, Germany and United States. Sanja Aveic's co-authors include Gian Paolo Tonini, Horst Fischer, Maria Rosaria Esposito, Anke Seydel, Giuseppe Basso, Diana Corallo, Giampietro Viola, Martina Pigazzi, Elena Mariotto and Carlo Zanon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Sanja Aveic

46 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanja Aveic Italy 19 440 212 187 155 149 48 915
Huijie Gao China 20 487 1.1× 64 0.3× 95 0.5× 301 1.9× 163 1.1× 59 1.1k
Yu‐zhen Tan China 21 524 1.2× 42 0.2× 153 0.8× 114 0.7× 52 0.3× 38 1.3k
Shaojun Zhu China 20 943 2.1× 56 0.3× 96 0.5× 451 2.9× 88 0.6× 47 1.6k
Núria Rubio Spain 24 732 1.7× 57 0.3× 335 1.8× 113 0.7× 51 0.3× 44 1.5k
Xiao-Qi Wang United States 15 698 1.6× 31 0.1× 85 0.5× 149 1.0× 135 0.9× 18 1.1k
Sara Orecchia Italy 17 390 0.9× 41 0.2× 28 0.1× 134 0.9× 66 0.4× 37 1.1k
Jiankang Zhou China 21 1.0k 2.4× 38 0.2× 111 0.6× 752 4.9× 61 0.4× 49 1.6k
Shenglin Wang China 20 451 1.0× 97 0.5× 115 0.6× 234 1.5× 31 0.2× 73 1.4k

Countries citing papers authored by Sanja Aveic

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Aveic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Aveic

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Aveic. A scholar is included among the top collaborators of Sanja Aveic 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 Sanja Aveic. Sanja Aveic 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.
Corallo, Diana, et al.. (2024). Exploring the Role of Fibroblasts in Promoting Neuroblastoma Cell Migration and Invasion. SHILAP Revista de lepidopterología. 5(4). 212–227.
2.
Corallo, Diana, et al.. (2024). Hypoxic Human Microglia Promote Angiogenesis Through Extracellular Vesicle Release. International Journal of Molecular Sciences. 25(23). 12508–12508. 1 indexed citations
3.
4.
Aveic, Sanja, et al.. (2023). A Fibrin‐Based Human Multicellular Gingival 3D Model Provides Biomimicry and Enables Long‐Term In Vitro Studies. Macromolecular Bioscience. 24(2). e2300162–e2300162. 3 indexed citations
5.
Aveic, Sanja, et al.. (2023). Three-dimensional in vitro model of bone metastases of neuroblastoma as a tool for pharmacological evaluations. Nanotheranostics. 8(1). 1–11. 2 indexed citations
6.
Oliva, Paola, Romeo Romagnoli, Barbara Cacciari, et al.. (2022). Synthesis and Biological Evaluation of Highly Active 7-Anilino Triazolopyrimidines as Potent Antimicrotubule Agents. Pharmaceutics. 14(6). 1191–1191. 12 indexed citations
7.
Romagnoli, Romeo, Paola Oliva, Filippo Prencipe, et al.. (2022). Design, Synthesis and Biological Investigation of 2-Anilino Triazolopyrimidines as Tubulin Polymerization Inhibitors with Anticancer Activities. Pharmaceuticals. 15(8). 1031–1031. 9 indexed citations
8.
Romagnoli, Romeo, Paola Oliva, Filippo Prencipe, et al.. (2022). Cinnamic acid derivatives linked to arylpiperazines as novel potent inhibitors of tyrosinase activity and melanin synthesis. European Journal of Medicinal Chemistry. 231. 114147–114147. 37 indexed citations
9.
D’Agostino, Stefania, Sara Crotti, S. DaRonco, et al.. (2021). A rhabdomyosarcoma hydrogel model to unveil cell-extracellular matrix interactions. Biomaterials Science. 10(1). 124–137. 3 indexed citations
10.
Corallo, Diana, Carlo Zanon, Gian Paolo Tonini, et al.. (2021). Integrated CGH/WES Analyses Advance Understanding of Aggressive Neuroblastoma Evolution: A Case Study. Cells. 10(10). 2695–2695. 2 indexed citations
11.
D’Agostino, Stefania, Lucia Tombolan, Chiara Frasson, et al.. (2021). Rhabdomyosarcoma Cells Produce Their Own Extracellular Matrix With Minimal Involvement of Cancer-Associated Fibroblasts: A Preliminary Study. Frontiers in Oncology. 10. 600980–600980. 14 indexed citations
12.
Corallo, Diana, et al.. (2020). Emerging Neuroblastoma 3D In Vitro Models for Pre-Clinical Assessments. Frontiers in Immunology. 11. 584214–584214. 15 indexed citations
13.
Corallo, Diana, Fabio Pastorino, Elena Mariotto, et al.. (2020). Autophagic flux inhibition enhances cytotoxicity of the receptor tyrosine kinase inhibitor ponatinib. Journal of Experimental & Clinical Cancer Research. 39(1). 195–195. 15 indexed citations
14.
Sidarovich, Viktoryia, Marilena De Mariano, Sanja Aveic, et al.. (2018). A High-Content Screening of Anticancer Compounds Suggests the Multiple Tyrosine Kinase Inhibitor Ponatinib for Repurposing in Neuroblastoma Therapy. Molecular Cancer Therapeutics. 17(7). 1405–1415. 29 indexed citations
15.
Mariotto, Elena, Giampietro Viola, Roberto Ronca, et al.. (2018). Choline Kinase Alpha Inhibition by EB-3D Triggers Cellular Senescence, Reduces Tumor Growth and Metastatic Dissemination in Breast Cancer. Cancers. 10(10). 391–391. 29 indexed citations
16.
Aveic, Sanja, Viktoryia Sidarovich, Marilena De Mariano, et al.. (2018). Autophagy inhibition improves the cytotoxic effects of receptor tyrosine kinase inhibitors. Cancer Cell International. 18(1). 63–63. 20 indexed citations
17.
Milani, Gloria, Tobia Lana, Silvia Bresolin, et al.. (2017). Expression Profiling of Circulating Microvesicles Reveals Intercellular Transmission of Oncogenic Pathways. Molecular Cancer Research. 15(6). 683–695. 28 indexed citations
18.
Tregnago, Claudia, Elena Manara, Matteo Zampini, et al.. (2016). CREB engages C/EBPδ to initiate leukemogenesis. Leukemia. 30(9). 1887–1896. 27 indexed citations
19.
Aveic, Sanja, Giampietro Viola, Benedetta Accordi, et al.. (2014). Targeting BAG-1: A novel strategy to increase drug efficacy in acute myeloid leukemia. Experimental Hematology. 43(3). 180–190.e6. 12 indexed citations
20.
Aveic, Sanja, Martina Pigazzi, & Giuseppe Basso. (2011). BAG1: The Guardian of Anti-Apoptotic Proteins in Acute Myeloid Leukemia. PLoS ONE. 6(10). e26097–e26097. 37 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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