Giulia Occhipinti

791 total citations
18 papers, 614 citations indexed

About

Giulia Occhipinti is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Giulia Occhipinti has authored 18 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Giulia Occhipinti's work include Extracellular vesicles in disease (4 papers), Renal and related cancers (4 papers) and MicroRNA in disease regulation (3 papers). Giulia Occhipinti is often cited by papers focused on Extracellular vesicles in disease (4 papers), Renal and related cancers (4 papers) and MicroRNA in disease regulation (3 papers). Giulia Occhipinti collaborates with scholars based in Italy, United States and Spain. Giulia Occhipinti's co-authors include Matteo Giulietti, Giovanni Principato, Francesco Piva, Matteo Santoni, Rodolfo Montironi, Liang Cheng, Antonio López-Beltrán, Marina Scarpelli, Stefano Cascinu and Francesco Massari and has published in prestigious journals such as PLoS ONE, Annals of Oncology and Oncotarget.

In The Last Decade

Giulia Occhipinti

17 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Occhipinti Italy 12 371 244 243 153 49 18 614
Ioanna Giopanou Greece 13 219 0.6× 123 0.5× 145 0.6× 151 1.0× 121 2.5× 23 528
Gang Xiong China 16 728 2.0× 69 0.3× 610 2.5× 157 1.0× 52 1.1× 38 945
Zhenying Guo China 15 279 0.8× 267 1.1× 215 0.9× 240 1.6× 27 0.6× 35 834
Mizuki Azuma United States 12 382 1.0× 71 0.3× 82 0.3× 61 0.4× 68 1.4× 17 578
Il‐Chi Chang Taiwan 12 144 0.4× 111 0.5× 75 0.3× 114 0.7× 36 0.7× 18 428
Kieuhoa T. Vo United States 13 166 0.4× 97 0.4× 135 0.6× 86 0.6× 22 0.4× 28 521
Jennifer M. Carr United States 12 450 1.2× 52 0.2× 275 1.1× 107 0.7× 33 0.7× 19 683
Marina Pacheco Italy 8 346 0.9× 330 1.4× 156 0.6× 151 1.0× 30 0.6× 18 740
Tang Zy China 15 228 0.6× 98 0.4× 172 0.7× 154 1.0× 45 0.9× 48 637

Countries citing papers authored by Giulia Occhipinti

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Occhipinti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Occhipinti

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

All Works

18 of 18 papers shown
1.
Occhipinti, Giulia, Emanuela Romagnoli, Matteo Santoni, et al.. (2020). Sequential or Concomitant Inhibition of Cyclin-Dependent Kinase 4/6 Before mTOR Pathway in Hormone-Positive HER2 Negative Breast Cancer: Biological Insights and Clinical Implications. Frontiers in Genetics. 11. 349–349. 8 indexed citations
2.
Giulietti, Matteo, et al.. (2019). CXCL12 and Its Isoforms: Different Roles in Pancreatic Cancer?. Journal of Oncology. 2019. 1–13. 35 indexed citations
3.
Santoni, Matteo, Giulia Occhipinti, Emanuela Romagnoli, et al.. (2019). Different Cardiotoxicity of Palbociclib and Ribociclib in Breast Cancer: Gene Expression and Pharmacological Data Analyses, Biological Basis, and Therapeutic Implications. BioDrugs. 33(6). 613–620. 30 indexed citations
4.
Giampieri, Riccardo, Francesco Piva, Giulia Occhipinti, et al.. (2019). Clinical impact of different exosomes’ protein expression in pancreatic ductal carcinoma patients treated with standard first line palliative chemotherapy. PLoS ONE. 14(5). e0215990–e0215990. 29 indexed citations
5.
Giulietti, Matteo, Giulia Occhipinti, Massimo Bracci, et al.. (2018). Emerging Biomarkers in Bladder Cancer Identified by Network Analysis of Transcriptomic Data. Frontiers in Oncology. 8. 450–450. 43 indexed citations
6.
Giulietti, Matteo, Giulia Occhipinti, Giovanni Principato, & Francesco Piva. (2017). Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis. Cellular Oncology. 40(2). 181–192. 65 indexed citations
7.
Pistelli, Mirco, Alfredo Santinelli, Matteo Santoni, et al.. (2016). BRCA mutations and IGF-R1 expression in modulating sensitivity to Trastuzumab in patients with HER2-positive breast cancer. Annals of Oncology. 27. iv65–iv65. 1 indexed citations
8.
Occhipinti, Giulia, et al.. (2016). The choice of endogenous controls in exosomal microRNA assessments from biofluids. Tumor Biology. 37(9). 11657–11665. 47 indexed citations
9.
Giulietti, Matteo, Giulia Occhipinti, Giovanni Principato, & Francesco Piva. (2016). Weighted gene co-expression network analysis reveals key genes involved in pancreatic ductal adenocarcinoma development. Cellular Oncology. 39(4). 379–388. 102 indexed citations
10.
Piva, Francesco, Matteo Giulietti, Matteo Santoni, et al.. (2016). Epithelial to Mesenchymal Transition in Renal Cell Carcinoma: Implications for Cancer Therapy. Molecular Diagnosis & Therapy. 20(2). 111–117. 83 indexed citations
11.
Pistelli, Mirco, Z. Ballatore, Alfredo Santinelli, et al.. (2016). Phosphorylated mTOR is associated to androgen receptor expression in early triple-negative breast cancer. Oncology Reports. 36(2). 755–762. 4 indexed citations
12.
Ruggeri, Paolo, Andrea Splendiani, Giulia Occhipinti, et al.. (2016). Biocomplexity in Populations of European Anchovy in the Adriatic Sea. PLoS ONE. 11(4). e0153061–e0153061. 16 indexed citations
13.
Splendiani, Andrea, Paolo Ruggeri, Massimo Giovannotti, et al.. (2016). Alien brown trout invasion of the Italian peninsula: the role of geological, climate and anthropogenic factors. Biological Invasions. 18(7). 2029–2044. 45 indexed citations
14.
Giulietti, Matteo, Giulia Occhipinti, Matteo Santoni, et al.. (2015). Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma. Oncotarget. 6(31). 32161–32168. 23 indexed citations
15.
Piva, Francesco, Matteo Santoni, Marc Matrana, et al.. (2015). BAP1,PBRM1andSETD2in clear-cell renal cell carcinoma: molecular diagnostics and possible targets for personalized therapies. Expert Review of Molecular Diagnostics. 15(9). 1201–1210. 76 indexed citations
16.
Giulietti, Matteo & Giulia Occhipinti. (2015). Employment of Exosomes for Liquid Biopsies. 6(4). 5 indexed citations
17.
Ruggeri, Paolo, Andrea Splendiani, Massimo Giovannotti, et al.. (2015). The role of life‐history traits, selective pressure and hydrographic boundaries in shaping the genetic structure of the transparent goby, Aphia minuta. Marine Ecology. 37(3). 518–531. 2 indexed citations
18.
Munno, Ombretta Di, et al.. (1992). [Applications and results of photon absorptiometry].. PubMed. 16(2). 67–72.

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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