Giulia Cesi

697 total citations
10 papers, 538 citations indexed

About

Giulia Cesi is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Giulia Cesi has authored 10 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Giulia Cesi's work include Retinal Development and Disorders (5 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (4 papers). Giulia Cesi is often cited by papers focused on Retinal Development and Disorders (5 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (4 papers). Giulia Cesi collaborates with scholars based in Luxembourg, Italy and Canada. Giulia Cesi's co-authors include Stephanie Kreis, Settimio Rossi, Alberto Auricchio, Massimo Giunti, Andrea Sommella, Pasqualina Colella, Ivana Trapani, Carolina Iodice, Claude Haan and Elena Marrocco and has published in prestigious journals such as PLoS ONE, Molecular Cancer and Investigative Ophthalmology & Visual Science.

In The Last Decade

Giulia Cesi

10 papers receiving 533 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 Cesi Luxembourg 9 492 156 94 63 57 10 538
Xuejie Yang China 11 592 1.2× 40 0.3× 100 1.1× 42 0.7× 52 0.9× 21 727
Sara Barbato Italy 8 248 0.5× 53 0.3× 152 1.6× 35 0.6× 24 0.4× 10 329
Travis Cossette United States 11 327 0.7× 175 1.1× 40 0.4× 87 1.4× 49 0.9× 14 451
Amita Behal United States 11 356 0.7× 48 0.3× 21 0.2× 75 1.2× 90 1.6× 18 469
Laura B. Chipman United States 6 584 1.2× 36 0.2× 160 1.7× 38 0.6× 22 0.4× 7 650
Elisa Cuevas Spain 12 383 0.8× 27 0.2× 35 0.4× 30 0.5× 52 0.9× 17 442
Michael T. Massengill United States 10 413 0.8× 41 0.3× 59 0.6× 116 1.8× 246 4.3× 19 659
Gábor Bartha United States 11 265 0.5× 67 0.4× 134 1.4× 7 0.1× 115 2.0× 22 458
Nicholas W. Ashton Australia 12 379 0.8× 59 0.4× 23 0.2× 49 0.8× 83 1.5× 25 477

Countries citing papers authored by Giulia Cesi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Cesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Cesi

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

All Works

10 of 10 papers shown
1.
Margue, Christiane, Demetra Philippidou, Ines Kozar, et al.. (2019). Kinase inhibitor library screening identifies synergistic drug combinations effective in sensitive and resistant melanoma cells. Journal of Experimental & Clinical Cancer Research. 38(1). 56–56. 25 indexed citations
2.
Cesi, Giulia, Demetra Philippidou, Ines Kozar, et al.. (2018). A new ALK isoform transported by extracellular vesicles confers drug resistance to melanoma cells. Molecular Cancer. 17(1). 145–145. 50 indexed citations
3.
Cesi, Giulia, et al.. (2017). ROS production induced by BRAF inhibitor treatment rewires metabolic processes affecting cell growth of melanoma cells. Molecular Cancer. 16(1). 102–102. 77 indexed citations
4.
Kozar, Ines, Giulia Cesi, Christiane Margue, Demetra Philippidou, & Stephanie Kreis. (2017). Impact of BRAF kinase inhibitors on the miRNomes and transcriptomes of melanoma cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(11). 2980–2992. 24 indexed citations
5.
Cesi, Giulia, et al.. (2016). Transferring intercellular signals and traits between cancer cells: extracellular vesicles as “homing pigeons”. Cell Communication and Signaling. 14(1). 13–13. 34 indexed citations
6.
Puppo, Agostina, et al.. (2014). Retinal transduction profiles by high-capacity viral vectors. Investigative Ophthalmology & Visual Science. 21(10). 855–865. 2 indexed citations
7.
Colella, Pasqualina, Ivana Trapani, Giulia Cesi, et al.. (2014). Efficient gene delivery to the cone-enriched pig retina by dual AAV vectors. Gene Therapy. 21(4). 450–456. 80 indexed citations
8.
Puppo, Agostina, Alexander Bello, Anna Manfredi, et al.. (2013). Recombinant Vectors Based on Porcine Adeno-Associated Viral Serotypes Transduce the Murine and Pig Retina. PLoS ONE. 8(3). e59025–e59025. 10 indexed citations
9.
Trapani, Ivana, Pasqualina Colella, Andrea Sommella, et al.. (2013). Effective delivery of large genes to the retina by dual AAV vectors. EMBO Molecular Medicine. 6(2). 194–211. 204 indexed citations
10.
Manfredi, Anna, Elena Marrocco, Agostina Puppo, et al.. (2013). Combined Rod and Cone Transduction by Adeno-Associated Virus 2/8. Human Gene Therapy. 24(12). 982–992. 32 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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