Giulia I. Corsi

561 total citations
9 papers, 144 citations indexed

About

Giulia I. Corsi is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Giulia I. Corsi has authored 9 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Giulia I. Corsi's work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA regulation and disease (2 papers). Giulia I. Corsi is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA regulation and disease (2 papers). Giulia I. Corsi collaborates with scholars based in Denmark, United States and Italy. Giulia I. Corsi's co-authors include Jan Gorodkin, Ferhat Alkan, Xiaoguang Pan, Christian Anthon, Kunli Qu, Yonglun Luo, Stefan E. Seemann, Begoña M. Jugo, Francisco H.R. Bezerra and Francesco Asnicar and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Giulia I. Corsi

9 papers receiving 144 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 I. Corsi Denmark 6 114 16 16 14 13 9 144
Lena M. Muckenfuss Switzerland 5 266 2.3× 22 1.4× 13 0.8× 8 0.6× 18 1.4× 5 280
William J. Valente United States 4 118 1.0× 20 1.3× 12 0.8× 8 0.6× 8 0.6× 6 146
Francesca Baggio Finland 7 182 1.6× 26 1.6× 11 0.7× 22 1.6× 5 0.4× 13 226
Birong Cao China 4 239 2.1× 34 2.1× 13 0.8× 8 0.6× 11 0.8× 5 265
Oana Pelea United Kingdom 2 195 1.7× 34 2.1× 29 1.8× 16 1.1× 4 0.3× 3 238
Shaghayegh Farhangmehr Canada 4 157 1.4× 16 1.0× 11 0.7× 5 0.4× 10 0.8× 6 186
Angika Basant United Kingdom 8 219 1.9× 13 0.8× 36 2.3× 34 2.4× 5 0.4× 11 332
Ze Cheng United States 5 195 1.7× 13 0.8× 16 1.0× 4 0.3× 9 0.7× 5 223
Philipp Kanis Germany 5 193 1.7× 41 2.6× 16 1.0× 18 1.3× 4 0.3× 8 226
Ismael Moreno-Sánchez Spain 5 94 0.8× 8 0.5× 60 3.8× 6 0.4× 3 0.2× 6 132

Countries citing papers authored by Giulia I. Corsi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia I. Corsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia I. Corsi

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

All Works

9 of 9 papers shown
1.
Corsi, Giulia I., et al.. (2023). Utilizing directed evolution to interrogate and optimize CRISPR/Cas guide RNA scaffolds. Cell chemical biology. 30(8). 879–892.e5. 5 indexed citations
2.
Haukedal, Henriette, Emil W. Westi, Giulia I. Corsi, et al.. (2023). Alteration of microglial metabolism and inflammatory profile contributes to neurotoxicity in a hiPSC-derived microglia model of frontotemporal dementia 3. Brain Behavior and Immunity. 113. 353–373. 4 indexed citations
3.
Corsi, Giulia I., Anna Rosa Sannella, Paolo Vatta, et al.. (2022). Recent genetic exchanges and admixture shape the genome and population structure of the zoonotic pathogen Cryptosporidium parvum. Molecular Ecology. 32(10). 2633–2645. 12 indexed citations
4.
Corsi, Giulia I., Henriette Haukedal, Nadezhda T. Doncheva, et al.. (2022). The transcriptomic landscape of neurons carrying PSEN1 mutations reveals changes in extracellular matrix components and non-coding gene expression. Neurobiology of Disease. 178. 105980–105980. 9 indexed citations
5.
Corsi, Giulia I., Kunli Qu, Ferhat Alkan, et al.. (2022). CRISPR/Cas9 gRNA activity depends on free energy changes and on the target PAM context. Nature Communications. 13(1). 3006–3006. 59 indexed citations
6.
Anthon, Christian, Giulia I. Corsi, & Jan Gorodkin. (2022). CRISPRon/off: CRISPR/Cas9 on- and off-target gRNA design. Bioinformatics. 38(24). 5437–5439. 23 indexed citations
7.
Corsi, Giulia I., et al.. (2021). Novel circRNA discovery in sheep shows evidence of high backsplice junction conservation. Scientific Reports. 11(1). 427–427. 10 indexed citations
8.
Bezerra, Francisco H.R., Fabrizio Balsamo, Giulia I. Corsi, et al.. (2021). Hydrothermal silicification in the intraplate Samambaia seismogenic fault, Brazil: Implications for fault loss of cohesion and healing in rifted crust. Tectonophysics. 815. 229002–229002. 5 indexed citations
9.
Corsi, Giulia I., et al.. (2021). CRISPRroots: on- and off-target assessment of RNA-seq data in CRISPR–Cas9 edited cells. Nucleic Acids Research. 50(4). e20–e20. 17 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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