Federico M. Giorgi

9.3k total citations · 3 hit papers
79 papers, 5.4k citations indexed

About

Federico M. Giorgi is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Federico M. Giorgi has authored 79 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 13 papers in Plant Science and 9 papers in Infectious Diseases. Recurrent topics in Federico M. Giorgi's work include Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (11 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Federico M. Giorgi is often cited by papers focused on Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (11 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Federico M. Giorgi collaborates with scholars based in Italy, United States and Germany. Federico M. Giorgi's co-authors include Daniele Mercatelli, Francesco Licausi, Pierdomenico Perata, Andrea Califano, Alexander Lachmann, Cristian Del Fabbro, Björn Usadel, Beatrice Giuntoli, Joost T. van Dongen and Monika Kosmacz and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Federico M. Giorgi

74 papers receiving 5.4k citations

Hit Papers

Oxygen sensing in plants ... 2011 2026 2016 2021 2011 2016 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico M. Giorgi Italy 32 3.1k 1.6k 915 487 358 79 5.4k
Ke Dong China 47 3.9k 1.3× 1.6k 1.0× 265 0.3× 568 1.2× 565 1.6× 225 7.2k
Ramneek Gupta Denmark 24 4.7k 1.5× 795 0.5× 493 0.5× 229 0.5× 438 1.2× 62 7.1k
Lu Yu United Kingdom 36 3.1k 1.0× 956 0.6× 417 0.5× 164 0.3× 250 0.7× 127 4.9k
Mario Albrecht Germany 38 3.7k 1.2× 1.2k 0.8× 244 0.3× 406 0.8× 260 0.7× 74 6.4k
John Chilton United States 13 3.0k 1.0× 673 0.4× 312 0.3× 320 0.7× 200 0.6× 21 5.0k
Krzysztof Ginalski Poland 44 4.9k 1.6× 751 0.5× 292 0.3× 343 0.7× 364 1.0× 105 6.3k
Dave Bouvier United States 6 2.7k 0.9× 658 0.4× 361 0.4× 276 0.6× 159 0.4× 9 4.5k
Charles Chen United States 30 1.6k 0.5× 1.5k 0.9× 307 0.3× 603 1.2× 441 1.2× 146 4.9k
Christine Brun France 31 4.8k 1.6× 913 0.6× 162 0.2× 718 1.5× 406 1.1× 83 6.7k
Marius van den Beek France 12 2.6k 0.8× 664 0.4× 314 0.3× 275 0.6× 157 0.4× 21 4.2k

Countries citing papers authored by Federico M. Giorgi

Since Specialization
Citations

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

Fields of papers citing papers by Federico M. Giorgi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico M. Giorgi. 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 Federico M. Giorgi. The network helps show where Federico M. Giorgi may publish in the future.

Co-authorship network of co-authors of Federico M. Giorgi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico M. Giorgi. A scholar is included among the top collaborators of Federico M. Giorgi 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 Federico M. Giorgi. Federico M. Giorgi 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.
Ravegnini, Gloria, Camelia Alexandra Coadǎ, Antonio De Leo, et al.. (2025). MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer. Translational Oncology. 55. 102367–102367. 1 indexed citations
2.
Coadǎ, Camelia Alexandra, Anna Myriam Perrone, Antonio De Leo, et al.. (2025). MiRNome alterations drive the malignant transformation of endometriosis into endometriosis-correlated ovarian cancer. Scientific Reports. 15(1). 41434–41434.
3.
Giorgi, Federico M., Rory Stark, Amanda Stone, et al.. (2024). Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk. Genome Medicine. 16(1). 54–54. 6 indexed citations
4.
Protti, Michele, Laura Mercolini, Maria Chiara Magnifico, et al.. (2024). Transcriptional and metabolic effects of aspartate-glutamate carrier isoform 1 (AGC1) downregulation in mouse oligodendrocyte precursor cells (OPCs). Cellular & Molecular Biology Letters. 29(1). 44–44. 2 indexed citations
5.
Rose, Susanna F, Marcel Gehrung, Sanjeev Kumar, et al.. (2024). ZMIZ1 enhances ERα-dependent expression of E2F2 in breast cancer. Journal of Molecular Endocrinology. 73(1). 4 indexed citations
6.
Giorgi, Federico M., et al.. (2024). Genomic and transcriptomic analysis of the recent Mpox outbreak. Vaccine. 42(7). 1841–1849. 11 indexed citations
7.
Pascali, Jennifer Paola, et al.. (2023). Cross-Species Transcriptomics Analysis Highlights Conserved Molecular Responses to Per- and Polyfluoroalkyl Substances. Toxics. 11(7). 567–567. 4 indexed citations
8.
Bassi, Massimiliano, Jacopo Vannucci, Federico M. Giorgi, et al.. (2023). Lung cancer surgery in octogenarians: a meta-analysis of predictors for postoperative complications. Shanghai Chest. 7. 14–14. 2 indexed citations
9.
Bertuccio, Salvatore Nicola, Pascale Baden, Valentina Indio, et al.. (2023). Neuronopathic Gaucher disease models reveal defects in cell growth promoted by Hippo pathway activation. Communications Biology. 6(1). 431–431. 3 indexed citations
10.
Protti, Michele, Maria Chiara Magnifico, Simona N. Barile, et al.. (2023). Targeted quantitative metabolic profiling of brain-derived cell cultures by semi-automated MEPS and LC-MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 236. 115757–115757. 8 indexed citations
12.
Santorsola, Mariangela, et al.. (2022). Prediction of Metabolic Profiles from Transcriptomics Data in Human Cancer Cell Lines. International Journal of Molecular Sciences. 23(7). 3867–3867. 8 indexed citations
13.
Saletta, Federica, Jourdin R.C. Rouaen, Rehana Hewavisenti, et al.. (2021). Copper: An Intracellular Achilles’ Heel Allowing the Targeting of Epigenetics, Kinase Pathways, and Cell Metabolism in Cancer Therapeutics. ChemMedChem. 16(15). 2315–2329. 58 indexed citations
14.
Paull, Evan, Àlvaro Aytés, Sunny J. Jones, et al.. (2021). A modular master regulator landscape controls cancer transcriptional identity. Cell. 184(2). 334–351.e20. 56 indexed citations
15.
Mercatelli, Daniele, Gonzalo López, & Federico M. Giorgi. (2020). corto : a lightweight R package for gene network inference and master regulator analysis. Bioinformatics. 36(12). 3916–3917. 49 indexed citations
16.
Voli, Florida, Emanuele Valli, Luigi Lerra, et al.. (2020). Intratumoral Copper Modulates PD-L1 Expression and Influences Tumor Immune Evasion. Cancer Research. 80(19). 4129–4144. 280 indexed citations breakdown →
17.
Bui, Liem T., Vinay Shukla, Federico M. Giorgi, et al.. (2020). Differential submergence tolerance between juvenile and adult Arabidopsis plants involves the ANAC017 transcription factor. The Plant Journal. 104(4). 979–994. 54 indexed citations
18.
Giuntoli, Beatrice, Vinay Shukla, Federico M. Giorgi, et al.. (2017). Age‐dependent regulation of ERF‐VII transcription factor activity in Arabidopsis thaliana. Plant Cell & Environment. 40(10). 2333–2346. 49 indexed citations
19.
Giorgi, Federico M.. (2012). Expression-based reverse engineering of plant transcriptional networks. publish.UP (University of Potsdam). 1–140. 1 indexed citations
20.
Giorgi, Federico M., et al.. (2012). LASSO modeling of the Arabidopsis thaliana seed/seedling transcriptome: a model case for detection of novel mucilage and pectin metabolism genes. Molecular BioSystems. 8(10). 2566–2574. 29 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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