Alessandro Didonna

1.3k total citations
37 papers, 790 citations indexed

About

Alessandro Didonna is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Alessandro Didonna has authored 37 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Alessandro Didonna's work include Genetic Neurodegenerative Diseases (9 papers), Multiple Sclerosis Research Studies (8 papers) and Prion Diseases and Protein Misfolding (5 papers). Alessandro Didonna is often cited by papers focused on Genetic Neurodegenerative Diseases (9 papers), Multiple Sclerosis Research Studies (8 papers) and Prion Diseases and Protein Misfolding (5 papers). Alessandro Didonna collaborates with scholars based in United States, Italy and Canada. Alessandro Didonna's co-authors include Puneet Opal, Jorge R. Oksenberg, Federico Benetti, Giuseppe Legname, Caroline Guglielmetti, Myriam M. Chaumeil, Chloé Najac, Annemie Van der Linden, Sabrina M. Ronen and Stephen L. Hauser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Alessandro Didonna

36 papers receiving 782 citations

Peers

Alessandro Didonna
Mark Stahl United States
John Tam Canada
Julián Esteve-Rudd United States
Michael Kurnellas United States
George K. E. Umanah United States
Judy V. Nguyen United States
Timothy P. Kegelman United States
Mark Stahl United States
Alessandro Didonna
Citations per year, relative to Alessandro Didonna Alessandro Didonna (= 1×) peers Mark Stahl

Countries citing papers authored by Alessandro Didonna

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Didonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Didonna

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Didonna. A scholar is included among the top collaborators of Alessandro Didonna 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 Alessandro Didonna. Alessandro Didonna 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.
Didonna, Alessandro, et al.. (2024). Autoimmune demyelination alters hypothalamic transcriptome and endocrine function. Journal of Neuroinflammation. 21(1). 12–12. 6 indexed citations
2.
Ma, Qin & Alessandro Didonna. (2023). Ataxin‐1 controls the expression of specific noncoding RNAs in B cells upon autoimmune demyelination. Immunology and Cell Biology. 101(4). 358–367. 2 indexed citations
3.
Shams, Hengameh, Alessandro Didonna, Sergio E. Baranzini, et al.. (2023). Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes. Communications Biology. 6(1). 342–342. 16 indexed citations
4.
Augusto, Danillo G., Gonzalo Montero-Martín, Stacy J. Caillier, et al.. (2023). High-resolution DNA methylation screening of the major histocompatibility complex in multiple sclerosis. Frontiers in Neurology. 14. 1326738–1326738. 3 indexed citations
5.
Didonna, Alessandro, et al.. (2023). Quantification of Autoreactive Antibodies in Mice upon Experimental Autoimmune Encephalomyelitis. Journal of Visualized Experiments. 2 indexed citations
6.
Shams, Hengameh, Atsuko Matsunaga, Qin Ma, Mohammad R. K. Mofrad, & Alessandro Didonna. (2022). Methylation at a conserved lysine residue modulates tau assembly and cellular functions. Molecular and Cellular Neuroscience. 120. 103707–103707. 8 indexed citations
7.
Didonna, Alessandro. (2020). Tau at the interface between neurodegeneration and neuroinflammation. Genes and Immunity. 21(5). 288–300. 53 indexed citations
8.
Ma, Qin, et al.. (2020). Oligodendrocyte-specific Argonaute profiling identifies microRNAs associated with experimental autoimmune encephalomyelitis. Journal of Neuroinflammation. 17(1). 297–297. 8 indexed citations
9.
Didonna, Alessandro & Puneet Opal. (2019). The role of neurofilament aggregation in neurodegeneration: lessons from rare inherited neurological disorders. Molecular Neurodegeneration. 14(1). 19–19. 86 indexed citations
10.
Didonna, Alessandro, Ester Cantó, Hengameh Shams, et al.. (2019). Sex-specific Tau methylation patterns and synaptic transcriptional alterations are associated with neural vulnerability during chronic neuroinflammation. Journal of Autoimmunity. 101. 56–69. 15 indexed citations
11.
Didonna, Alessandro, et al.. (2018). Mutant ataxin1 disrupts cerebellar development in spinocerebellar ataxia type 1. Journal of Clinical Investigation. 128(6). 2252–2265. 41 indexed citations
12.
Cantó, Ester, et al.. (2018). Aberrant STAT phosphorylation signaling in peripheral blood mononuclear cells from multiple sclerosis patients. Journal of Neuroinflammation. 15(1). 72–72. 22 indexed citations
13.
Didonna, Alessandro, Egle Cekanaviciute, Jorge R. Oksenberg, & Sergio E. Baranzini. (2016). Immune cell-specific transcriptional profiling highlights distinct molecular pathways controlled by Tob1 upon experimental autoimmune encephalomyelitis. Scientific Reports. 6(1). 31603–31603. 7 indexed citations
14.
Didonna, Alessandro, et al.. (2015). Characterization of four new monoclonal antibodies against the distal N-terminal region of PrP c. PeerJ. 3. e811–e811. 9 indexed citations
15.
Didonna, Alessandro & Jorge R. Oksenberg. (2015). Genetic determinants of risk and progression in multiple sclerosis. Clinica Chimica Acta. 449. 16–22. 23 indexed citations
16.
Venkatraman, Anand, et al.. (2014). The histone deacetylase HDAC3 is essential for Purkinje cell function, potentially complicating the use of HDAC inhibitors in SCA1. Human Molecular Genetics. 23(14). 3733–3745. 35 indexed citations
17.
Didonna, Alessandro. (2013). Prion protein and its role in signal transduction. Cellular & Molecular Biology Letters. 18(2). 209–30. 18 indexed citations
18.
Mahammad, Saleemulla, S. N. Prasanna Murthy, Alessandro Didonna, et al.. (2013). Giant axonal neuropathy–associated gigaxonin mutations impair intermediate filament protein degradation. Journal of Clinical Investigation. 123(5). 1964–1975. 94 indexed citations
19.
Didonna, Alessandro, et al.. (2012). The role of Bax and caspase-3 in doppel-induced apoptosis of cerebellar granule cells. Prion. 6(3). 309–316. 19 indexed citations
20.
Didonna, Alessandro & Giuseppe Legname. (2010). Aberrant ERK 1/2 complex activation and localization in scrapie-infected GT1-1 cells. Molecular Neurodegeneration. 5(1). 29–29. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026