Federica Morani

1.3k total citations
40 papers, 966 citations indexed

About

Federica Morani is a scholar working on Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Federica Morani has authored 40 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 18 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Federica Morani's work include Autophagy in Disease and Therapy (16 papers), Mitochondrial Function and Pathology (10 papers) and Genetic Neurodegenerative Diseases (8 papers). Federica Morani is often cited by papers focused on Autophagy in Disease and Therapy (16 papers), Mitochondrial Function and Pathology (10 papers) and Genetic Neurodegenerative Diseases (8 papers). Federica Morani collaborates with scholars based in Italy, Thailand and United States. Federica Morani's co-authors include Ciro Isidoro, Suratchanee Phadngam, Carlo Follo, Rossella Titone, Oscar Alabiso, Alessandra Ferraresi, Alessandra Galetto, Giovanna Chiorino, Filippo M. Santorelli and Gianluca Aimaretti and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Federica Morani

38 papers receiving 954 citations

Peers

Federica Morani
Myungjin Kim United States
Federica Morani
Citations per year, relative to Federica Morani Federica Morani (= 1×) peers Myungjin Kim

Countries citing papers authored by Federica Morani

Since Specialization
Citations

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

Fields of papers citing papers by Federica Morani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Morani

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Morani. A scholar is included among the top collaborators of Federica Morani 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 Federica Morani. Federica Morani 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.
Morani, Federica, et al.. (2025). Monitoring and Early Warning System: Regional Monitoring Strategy in Lombardy Region. Epidemiologia. 6(1). 7–7.
2.
Scaglione, Giovanni Luca, Marta Canuti, Valentina Breschi, et al.. (2025). Burden and Outcomes of Severe Lower Respiratory Tract Infections with Unknown Etiology: A Retrospective Observational Study on Epidemiological Trends Over an 8-Year Period (2016–2024). Infectious Diseases and Therapy. 14(5). 1075–1087.
3.
Galatolo, Daniele, Silvia Rocchiccioli, Giovanni Signore, et al.. (2024). Proteomics and lipidomic analysis reveal dysregulated pathways associated with loss of sacsin. Frontiers in Neuroscience. 18. 1375299–1375299. 2 indexed citations
4.
Morani, Federica, Eric Santoni‐Rugiu, Cristian Scatena, et al.. (2024). BAG2, MAD2L1, and MDK are cancer-driver genes and candidate targets for novel therapies in malignant pleural mesothelioma. Cancer Gene Therapy. 31(11). 1708–1720. 1 indexed citations
5.
Meschini, Maria Chiara, Alessandra Tessa, Federica Morani, et al.. (2023). Converging Role for REEP1/SPG31 in Oxidative Stress. International Journal of Molecular Sciences. 24(4). 3527–3527. 3 indexed citations
6.
Morani, Federica, et al.. (2023). Impact of covid-19 policy responses on health, socio-economic and environmental dimensions in five countries. Population Medicine. 5(Supplement). 1 indexed citations
7.
Doccini, Stefano, Maria Marchese, Federica Morani, et al.. (2022). Lysosomal Proteomics Links Disturbances in Lipid Homeostasis and Sphingolipid Metabolism to CLN5 Disease. Cells. 11(11). 1840–1840. 12 indexed citations
8.
Marchese, Maria, Asahi Ogi, Gianluca Fichi, et al.. (2021). Efficient Neuroprotective Rescue of Sacsin-Related Disease Phenotypes in Zebrafish. International Journal of Molecular Sciences. 22(16). 8401–8401. 18 indexed citations
9.
Morani, Federica, Stefano Doccini, Giovanna Chiorino, et al.. (2021). Functional Network Profiles in ARSACS Disclosed by Aptamer-Based Proteomic Technology. Frontiers in Neurology. 11. 603774–603774. 10 indexed citations
10.
Doccini, Stefano, Federica Morani, Claudia Nesti, et al.. (2020). Proteomic and functional analyses in disease models reveal CLN5 protein involvement in mitochondrial dysfunction. Cell Death Discovery. 6(1). 18–18. 23 indexed citations
11.
Wanichanon, Chaitip, Federica Morani, Rossella Titone, et al.. (2019). Starvation Promotes Autophagy-Associated Maturation of the Testis in the Giant Freshwater Prawn, Macrobrachium rosenbergii. Frontiers in Physiology. 10. 7 indexed citations
12.
Ricca, Ivana, Federica Morani, Giacomo Maria Bacci, et al.. (2019). Clinical and molecular studies in two new cases of ARSACS. Neurogenetics. 20(1). 45–49. 12 indexed citations
13.
Morani, Federica, Stefano Doccini, Francesco Pezzini, et al.. (2019). Functional Transcriptome Analysis in ARSACS KO Cell Model Reveals a Role of Sacsin in Autophagy. Scientific Reports. 9(1). 11878–11878. 27 indexed citations
14.
Ferraresi, Alessandra, Suratchanee Phadngam, Federica Morani, et al.. (2016). Resveratrol inhibits IL‐6‐induced ovarian cancer cell migration through epigenetic up‐regulation of autophagy. Molecular Carcinogenesis. 56(3). 1164–1181. 105 indexed citations
15.
Fortini, Paola, Egidio Iorio, Donatella Pietraforte, et al.. (2016). The fine tuning of metabolism, autophagy and differentiation during in vitro myogenesis. Cell Death and Disease. 7(3). e2168–e2168. 91 indexed citations
16.
Titone, Rossella, et al.. (2014). Single Amino Acid Arginine Deprivation Triggers Prosurvival Autophagic Response in Ovarian Carcinoma SKOV3. BioMed Research International. 2014. 1–10. 26 indexed citations
17.
Valente, Guido, Federica Morani, Giuseppina Nicotra, et al.. (2014). Expression and Clinical Significance of the Autophagy Proteins BECLIN 1 and LC3 in Ovarian Cancer. BioMed Research International. 2014. 1–10. 69 indexed citations
18.
Titone, Rossella, Federica Morani, Carlo Follo, et al.. (2014). Epigenetic Control of Autophagy by MicroRNAs in Ovarian Cancer. BioMed Research International. 2014. 1–11. 28 indexed citations
19.
Morani, Federica, Rossella Titone, Loredana Pagano, et al.. (2013). Autophagy and thyroid carcinogenesis: genetic and epigenetic links. Endocrine Related Cancer. 21(1). R13–R29. 26 indexed citations
20.
Pagano, Loredana, Federica Morani, Flavia Prodam, et al.. (2011). Thyroid incidentaloma identified by 18F‐fluorodeoxyglucose positron emission tomography with CT (FDG‐PET/CT): clinical and pathological relevance. Clinical Endocrinology. 75(4). 528–534. 54 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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