Nico Mitro

8.5k total citations
144 papers, 6.1k citations indexed

About

Nico Mitro is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Nico Mitro has authored 144 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 44 papers in Physiology and 37 papers in Surgery. Recurrent topics in Nico Mitro's work include Cholesterol and Lipid Metabolism (33 papers), Adipose Tissue and Metabolism (31 papers) and Peroxisome Proliferator-Activated Receptors (29 papers). Nico Mitro is often cited by papers focused on Cholesterol and Lipid Metabolism (33 papers), Adipose Tissue and Metabolism (31 papers) and Peroxisome Proliferator-Activated Receptors (29 papers). Nico Mitro collaborates with scholars based in Italy, United States and Spain. Nico Mitro's co-authors include Donatella Caruso, Maurizio Crestani, Emma De Fabiani, Matteo Audano, Enrique Sáez, Cristina Godio, Gaia Cermenati, Federica Gilardi, Roberto Cosimo Melcangi and Silvia Pedretti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nico Mitro

142 papers receiving 6.1k citations

Peers

Nico Mitro
Theodore M. Kamenecka United States
Zhao Zhong Chong United States
Sandra Galić Australia
Taixing Cui United States
Luc Bertrand Belgium
Fiona A. Ross United Kingdom
Nico Mitro
Citations per year, relative to Nico Mitro Nico Mitro (= 1×) peers Hélène Duez

Countries citing papers authored by Nico Mitro

Since Specialization
Citations

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

Fields of papers citing papers by Nico Mitro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Mitro

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Mitro. A scholar is included among the top collaborators of Nico Mitro 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 Nico Mitro. Nico Mitro 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.
Pedretti, Silvia, et al.. (2025). Transsulfuration metabolism is essential for ferroptosis resistance in quiescent endothelial cells. Cell Death and Disease. 17(1). 107–107.
2.
Fazzari, Maria, Giulia Lunghi, Silvia Pedretti, et al.. (2024). GM1 Oligosaccharide Ameliorates Rett Syndrome Phenotypes In Vitro and In Vivo via Trk Receptor Activation. International Journal of Molecular Sciences. 25(21). 11555–11555. 2 indexed citations
3.
Filadi, Riccardo, Agnese De Mario, Matteo Audano, et al.. (2023). Sustained IP3-linked Ca2+ signaling promotes progression of triple negative breast cancer cells by regulating fatty acid metabolism. Frontiers in Cell and Developmental Biology. 11. 1071037–1071037. 6 indexed citations
4.
Donati, Giulio, Paola Nicoli, Alessandro Verrecchia, et al.. (2023). Oxidative stress enhances the therapeutic action of a respiratory inhibitor in MYC ‐driven lymphoma. EMBO Molecular Medicine. 15(6). e16910–e16910. 10 indexed citations
5.
Brivio, Paola, Matteo Audano, Maria Teresa Gallo, et al.. (2023). Venlafaxine’s effect on resilience to stress is associated with a shift in the balance between glucose and fatty acid utilization. Neuropsychopharmacology. 48(10). 1475–1483. 9 indexed citations
6.
Aiello, Giuseppe, Matteo Audano, Francesco Antonica, et al.. (2022). Transient rapamycin treatment during developmental stage extends lifespan in Mus musculus and Drosophila melanogaster. EMBO Reports. 23(9). e55299–e55299. 29 indexed citations
7.
Audano, Matteo, et al.. (2022). Metabolic Profile Variations along the Differentiation of Human-Induced Pluripotent Stem Cells to Dopaminergic Neurons. Biomedicines. 10(9). 2069–2069. 2 indexed citations
8.
Audano, Matteo, Silvia Pedretti, Donatella Caruso, et al.. (2022). Regulatory mechanisms of the early phase of white adipocyte differentiation: an overview. Cellular and Molecular Life Sciences. 79(3). 139–139. 56 indexed citations
9.
Marangon, Davide, Matteo Audano, Silvia Pedretti, et al.. (2022). Rewiring of Glucose and Lipid Metabolism Induced by G Protein-Coupled Receptor 17 Silencing Enables the Transition of Oligodendrocyte Progenitors to Myelinating Cells. Cells. 11(15). 2369–2369. 10 indexed citations
10.
Coe, David, Hongmei Fu, Fabrizia Bonacina, et al.. (2022). Loss of voltage-gated hydrogen channel 1 expression reveals heterogeneous metabolic adaptation to intracellular acidification by T cells. JCI Insight. 7(10). 13 indexed citations
11.
Audano, Matteo, Chiara Balestrieri, Sara Polletti, et al.. (2022). Interferon regulatory factor 1 (IRF1) controls the metabolic programmes of low-grade pancreatic cancer cells. Gut. 72(1). 109–128. 8 indexed citations
12.
Audano, Matteo, Silvia Pedretti, Francesco Gualdrini, et al.. (2021). Zc3h10 regulates adipogenesis by controlling translation and F-actin/mitochondria interaction. The Journal of Cell Biology. 220(3). 23 indexed citations
13.
Colciago, Alessandra, Matteo Audano, Adam J. Reid, et al.. (2021). Transcriptomic Profile Reveals Deregulation of Hearing-Loss Related Genes in Vestibular Schwannoma Cells Following Electromagnetic Field Exposure. Cells. 10(7). 1840–1840. 7 indexed citations
14.
Audano, Matteo, et al.. (2020). Investigating metabolism by mass spectrometry: From steady state to dynamic view. Journal of Mass Spectrometry. 56(1). e4658–e4658. 6 indexed citations
15.
Audano, Matteo, Silvia Pedretti, Maurizio Crestani, et al.. (2019). Mitochondrial dysfunction increases fatty acid β‐oxidation and translates into impaired neuroblast maturation. FEBS Letters. 593(22). 3173–3189. 15 indexed citations
16.
Collino, Agnese, Alberto Termanini, Paola Nicoli, et al.. (2018). Sustained activation of detoxification pathways promotes liver carcinogenesis in response to chronic bile acid-mediated damage. PLoS Genetics. 14(5). e1007380–e1007380. 8 indexed citations
17.
Bonacina, Fabrizia, David Coe, Guosu Wang, et al.. (2018). Myeloid apolipoprotein E controls dendritic cell antigen presentation and T cell activation. Nature Communications. 9(1). 3083–3083. 111 indexed citations
18.
Pacella, Ilenia, Claudio Procaccini, Chiara Focaccetti, et al.. (2018). Fatty acid metabolism complements glycolysis in the selective regulatory T cell expansion during tumor growth. Proceedings of the National Academy of Sciences. 115(28). E6546–E6555. 253 indexed citations
19.
Dinamarca, Margarita C., Anna Karpova, Dmitry Lim, et al.. (2016). Ring finger protein 10 is a novel synaptonuclear messenger encoding activation of NMDA receptors in hippocampus. eLife. 5. e12430–e12430. 46 indexed citations
20.
Mitro, Nico, Maurizio Crestani, Emma De Fabiani, et al.. (2004). Minor components of olive oil affect the expression of pro-atherogenic molecules and cGMP-dependent PDE5 activity. Chemistry and Physics of Lipids. 130(1). 59–59. 2 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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