Stefano Magni

485 total citations
18 papers, 242 citations indexed

About

Stefano Magni is a scholar working on Molecular Biology, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Stefano Magni has authored 18 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Economics and Econometrics. Recurrent topics in Stefano Magni's work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Single-cell and spatial transcriptomics (3 papers). Stefano Magni is often cited by papers focused on COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Single-cell and spatial transcriptomics (3 papers). Stefano Magni collaborates with scholars based in Luxembourg, United States and France. Stefano Magni's co-authors include Alexander Skupin, Jorge Gonçalves, Atte Aalto, Jens C. Schwamborn, Silvia Bolognin, Julien Lavalle, Leslie Ogorzaly, Henry‐Michel Cauchie, Fredrik Hoel and Sarah Nickels and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Stefano Magni

16 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Magni Luxembourg 8 96 53 49 47 35 18 242
Carlo Fabrizio Italy 10 110 1.1× 137 2.6× 31 0.6× 11 0.2× 35 1.0× 29 373
Shamim A. Sinnar United States 9 127 1.3× 18 0.3× 7 0.1× 19 0.4× 58 1.7× 13 314
Stephanie Hopkins United States 9 132 1.4× 52 1.0× 14 0.3× 10 0.2× 29 0.8× 13 314
Filbert Hong United States 8 170 1.8× 42 0.8× 4 0.1× 25 0.5× 82 2.3× 12 338
Franciszek Rakowski Poland 9 150 1.6× 14 0.3× 3 0.1× 47 1.0× 25 0.7× 15 365
Ian A. Mellis United States 12 276 2.9× 114 2.2× 18 0.4× 8 0.2× 8 0.2× 21 407
Yulin Zhao China 14 213 2.2× 19 0.4× 3 0.1× 61 1.3× 140 4.0× 31 461
Kerry Goetz United States 12 292 3.0× 12 0.2× 11 0.2× 6 0.1× 28 0.8× 26 464
Kristin Lee United States 9 156 1.6× 21 0.4× 14 0.3× 2 0.0× 14 0.4× 33 374
Albert T. Chen United States 8 212 2.2× 64 1.2× 12 0.2× 4 0.1× 7 0.2× 9 321

Countries citing papers authored by Stefano Magni

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Magni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Magni

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

All Works

18 of 18 papers shown
1.
Magni, Stefano, Christophe Capelle, Laurent Mombaerts, et al.. (2024). Inferring upstream regulatory genes of FOXP3 in human regulatory T cells from time-series transcriptomic data. npj Systems Biology and Applications. 10(1). 59–59. 1 indexed citations
2.
Magni, Stefano, Demetra Philippidou, Christiane Margue, et al.. (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). 112696–112696. 12 indexed citations
3.
Magni, Stefano, et al.. (2022). Performance of early warning signals for disease re-emergence: A case study on COVID-19 data. PLoS Computational Biology. 18(3). e1009958–e1009958. 20 indexed citations
4.
Magni, Stefano, Leslie Ogorzaly, Henry‐Michel Cauchie, et al.. (2022). Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis. The Science of The Total Environment. 827. 154235–154235. 35 indexed citations
5.
Magni, Stefano, Leslie Ogorzaly, Henry‐Michel Cauchie, et al.. (2022). Model-Based Assessment of COVID-19 Epidemic Dynamics by Wastewater Analysis. SSRN Electronic Journal. 1 indexed citations
6.
Magni, Stefano, Andreas Husch, Atte Aalto, et al.. (2021). Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks. PLoS ONE. 16(5). e0252019–e0252019. 7 indexed citations
7.
Machado, Joël, Atte Aalto, Michel Beine, et al.. (2021). COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach. Economics & Human Biology. 43. 101051–101051. 10 indexed citations
8.
Bolognin, Silvia, Lisa M. Smits, Sarah Nickels, et al.. (2021). A new brain organoid model to study Parkinson’s Disease. 4(s1). 1 indexed citations
9.
Aalto, Atte, Laurent Mombaerts, Aymeric Fouquier d’Hérouël, et al.. (2021). Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden. Journal of Theoretical Biology. 530. 110874–110874. 26 indexed citations
10.
Smits, Lisa M., Stefano Magni, Kamil Grzyb, et al.. (2020). Single-cell transcriptomics reveals multiple neuronal cell types in human midbrain-specific organoids. Cell and Tissue Research. 382(3). 463–476. 34 indexed citations
11.
Walter, Jonas, Silvia Bolognin, Paul Antony, et al.. (2019). Neural Stem Cells of Parkinson's Disease Patients Exhibit Aberrant Mitochondrial Morphology and Functionality. Stem Cell Reports. 12(5). 878–889. 74 indexed citations
12.
Magni, Stefano, A. Succurro, Alexander Skupin, & Oliver Ebenhöh. (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). 20170965–20170965. 6 indexed citations
13.
Magni, Stefano. (2016). Memoria storica e postcolonialismo.. SHILAP Revista de lepidopterología. 33. 246–249. 1 indexed citations
14.
Lavalle, Julien & Stefano Magni. (2015). Making sense of the local Galactic escape speed estimates in direct dark matter searches. Physical review. D. Particles, fields, gravitation, and cosmology. 91(2). 10 indexed citations
15.
Magni, Stefano. (2015). Politica degli approvvigionamenti e controllo del commercio dei cereali nell’Italia dei comuni nel XIII e XIV secolo : alcune questioni preliminari. Mélanges de l'École française de Rome. Moyen Age. 127-1. 3 indexed citations
16.
Magni, Stefano. (2015). La Voce «bianca» e la Grande GuerraImmagini del conflitto e dei soldati. SHILAP Revista de lepidopterología. 19. 37–55. 1 indexed citations
17.
Magni, Stefano. (2014). Il viaggio settentrionale di Francesco Negri. SHILAP Revista de lepidopterología. 17/18. 77–96.
18.
Magni, Stefano. (2012). Le double de Il nome della rosa. La rosa e il suo doppio de Loriano Macchiavelli. SHILAP Revista de lepidopterología. 25. 37–49.

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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