  | RANDIC, T., MAGNI, S., PHILIPPIDOU, D., Margue, C., GRZYB, K., PREIS, J. R., WROBLEWSKA, J. P., NAZAROV, P., MITTELBRONN, M., FRAUENKNECHT, K., SKUPIN, A., & KREIS, S. (25 July 2023). Single-cell transcriptomics of NRAS-mutated melanoma transitioning to drug resistance reveals P2RX7 as an indicator of early drug response. Cell Reports, 42 (7), 112696. doi:10.1016/j.celrep.2023.112696  Peer Reviewed verified by ORBi |
Magni, S., Bremm, R. P., Lecossois, S., He, X., Garía Santa Cruz, B., Mombaerts, L., Husch, A., Goncalves, J., & Hertel, F. (05 September 2022). Analysis and comparison of gait impairments in patients with Parkinson’s disease and normal pressure hydrocephalus using wearable sensors and machine learning algorithms [Paper presentation]. 19th Biennial Meeting of the World Society for Stereotactic & Functional Neurosurgery (WSSFN 2022), Incheon, South Korea. |
 | Proverbio, D., Kemp, F., Magni, S., Ogorzaly, L., Cauchie, H.-M., Goncalves, J., Skupin, A., & Aalto, A. (2022). Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis. Science of the Total Environment, 827, 154235. doi:10.1016/j.scitotenv.2022.154235 Peer Reviewed verified by ORBi |
  | Proverbio, D., Kemp, F., Magni, S., & Goncalves, J. (2022). Performance of early warning signals for disease re-emergence: A case study on COVID-19 data. PLoS Computational Biology, 18 (3), 1009958. doi:10.1371/journal.pcbi.1009958 Peer Reviewed verified by ORBi |
 | Burzynski, Machado, J., Aalto, A., Beine, M., Haas, T., Kemp, F., Magni, S., Mombaerts, L., Picard, P. M., Proverbio, D., Skupin, A., & Docquier, F. (December 2021). COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach. Economics and Human Biology, 43, 101051. doi:10.1016/j.ehb.2021.101051 Peer Reviewed verified by ORBi |
Bolognin, S., Smits, L., Nickels, S. L., Magni, S., Antony, P., Grzyb, K., Krüger, R., Skupin, A., & Schwamborn, J. C. (2021). A new brain organoid model to study Parkinson’s Disease. Biomedical Science and Engineering. |
 | Kemp, F., Proverbio, D., Aalto, A., Mombaerts, L., Fouquier d'herouël, A., Husch, A., Ley, C., Goncalves, J., Skupin, A., & Magni, S. (2021). Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden. Journal of Theoretical Biology. doi:10.1016/J.JTBI.2021.110874 Peer reviewed |
 | Proverbio, D., Kemp, F., Magni, S., Husch, A., Aalto, A., Mombaerts, L., Skupin, A., Goncalves, J., Ameijeiras-Alonso, J., & Ley, C. (2021). Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks. PLoS ONE, 16 (5), 0252019. doi:10.1371/journal.pone.0252019 Peer Reviewed verified by ORBi |
 | Walter, J., Bolognin, S., Poovathingal, S., Magni, S., Gerard, D., Antony, P., Nickels, S. L., Salamanca, L., Berger, E., Smits, L., Grzyb, K., Perfeito, R., Hoel, F., Qing, X., Ohnmacht, J., Bertacchi, M., Jarazo, J., Ignac, T., Monzel, A., ... Schwamborn, J. C. (2021). The Parkinson’s-disease-associated mutation LRRK2-G2019S alters dopaminergic differentiation dynamics via NR2F1. Cell Reports. doi:10.1016/j.celrep.2021.109864 Peer Reviewed verified by ORBi |
Sawlekar, R., Magni, S., Chapelle, C., Baron, A., Ni, Z., Mombaerts, L., Yue, Z., Ye, Y., He, F., & Goncalves, J. (2020). Causal dynamical modelling predicts novel regulatory genes of FOXP3 in human regulatory T cells. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/42502. doi:10.1101/2020.02.13.943688 |
 | Proverbio, D., Kemp, F., Magni, S., Husch, A., Aalto, A., Mombaerts, L., Goncalves, J., Skupin, A., Ameijeiras-Alonso, J., & Ley, C. (2020). Assessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/44206. doi:10.1101/2020.04.22.20075804doi: |
 | Smits, L., Magni, S., Kinugawa, K., Grzyb, K., Luginbühl, J., Sabaté Soler, S., Bolognin, S., Shin, J., Mori, E., Skupin, A., & Schwamborn, J. C. (2020). Single-cell transcriptomics reveals multiple neuronal cell types in human midbrain-specific organoids. Cell and Tissue Research. doi:10.1007/s00441-020-03249-y Peer Reviewed verified by ORBi |
Balling, R., Goncalves, J., Magni, S., Mombaerts, L., Oldano, A., & Skupin, A. (2019). From Diagnosing Diseases to Predicting Diseases. In U. A. K. Betz (Ed.), Curious2018 (pp. 95-103). Springer, Cham. doi:10.1007/978-3-030-16061-6_11 |
Smits, L., Magni, S., Grzyb, K., Antony, P., Krüger, R., Skupin, A., Bolognin, S., & Schwamborn, J. C. (2019). Single-cell transcriptomics reveals multiple neuronal cell types in human midbrain-specific organoids. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/39342. doi:10.1101/589598 |
 | Walter, J., Bolognin, S., Antony, P., Nickels, S., Poovathhingal, S., Salamanca, L., Magni, S., Perfeito, R., Hoel, F., Qing, X., Jarazo, J., Arias-Fuenzalida, J., Ignac, T., Monzel, A. S., Gonzalez-Cano, L., Pereira de Almeida, L., Skupin, A., Tronstad, K., & Schwamborn, J. C. (2019). Neural Stem Cells of Parkinson's Disease Patients Exhibit Aberrant Mitochondrial Morphology and Functionality. Stem Cell Reports. doi:10.1016/j.stemcr.2019.03.004 Peer Reviewed verified by ORBi |
 | Magni, S., Succurro, A., Skupin, A., & Ebenhöh, O. (2018). Data-driven dynamical model indicates that the heat shock response in Chlamydomonas reinhardtii is tailored to handle natural temperature variation. Journal of the Royal Society, Interface, 15 (142), 20170965. doi:10.1098/rsif.2017.0965 Peer Reviewed verified by ORBi |
 | Wanjiku Moejes, F., Matuszyńska, A., Adhikari, K., Bassi, R., Cariti, F., Cogne, G., Dikaios, J., Falciatore, A., Finazzi, G., Flori, S., Goldschmidt-Clermont, M., Magni, S., Maguire, J., Le Monnier, A., Müller, K., Poolman, M., Singh, D., Spelberg, S., Stella, G. R., ... Ebenhöh, O. (2017). A systems-wide understanding of photosynthetic acclimation in algae and higher plants. Journal of Experimental Botany, 68 (11), 2667–2681. doi:10.1093/jxb/erx137 Peer Reviewed verified by ORBi |
 | Magni, S. (2015). Astrophysical aspects of dark matter direct detection [Doctoral thesis, UM - Université de Montpellier]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/36585 |
 | Magni, S., & Lavalle, J. (2015). On the use of the escape speed estimates in setting dark matter direct detection limits. In Proceedings, International Conference: "50th Rencontres de Moriond Electroweak Interactions and Unified Theories" La Thuile, Italy, March 14-21. |
 | Lavalle, J., & Magni, S. (01 January 2015). Making sense of the local Galactic escape speed estimates in direct dark matter searches. Physical Review. D, 91 (2), 023510. doi:10.1103/PhysRevD.91.023510 Peer Reviewed verified by ORBi |
 | Magni, S., & Lavalle, J. (2014). Revisiting the escape speed impact on dark matter direct detection. In Proceedings, International Conference: "Frontiers of Fundamental Physics '14", Marseille, France, July 15-18. |
 | Magni, S. (2012). Backreaction and the Covariant Formalism of General Relativity [Bachelor/master dissertation, UNIPV - Università degli Studi di Pavia]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/36581 |