Anna Mattioni

417 total citations
10 papers, 239 citations indexed

About

Anna Mattioni is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Anna Mattioni has authored 10 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Anna Mattioni's work include Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Anna Mattioni is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Anna Mattioni collaborates with scholars based in Italy, Germany and Saudi Arabia. Anna Mattioni's co-authors include Luisa Castagnoli, Elena Santonico, Gianni Cesareni, Daniela Posca, Daniele Peluso, Filomena Spada, S Pirro, Luana Licata, Alberto Calderone and Livia Perfetto and has published in prestigious journals such as Nucleic Acids Research, Oncogene and Scientific Reports.

In The Last Decade

Anna Mattioni

9 papers receiving 238 citations

Peers

Anna Mattioni

MB

CTM

CR

ONCOL

SPECT

Jianglei Chen United States

Martina Zenkner Germany

Mathias Laga Belgium

Yuko Saeki Japan

Máté Szalay-Bekő Hungary

Zhongping Liao United States

Johanna Tüshaus Germany

Tatiana Serebryiskaya United States

Vincent Spegg Switzerland

Xi Jiang China

Jianglei Chen United States

Anna Mattioni

213 ×1.1

MB

43 ×1.2

CTM

13 ×0.5

CR

22 ×0.9

ONCOL

8 ×0.4

SPECT

Citations per year, relative to Anna Mattioni Anna Mattioni (= 1×) peers Jianglei Chen

Countries citing papers authored by Anna Mattioni

Since Specialization

Citations

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

Fields of papers citing papers by Anna Mattioni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Mattioni

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

All Works

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10 of 10 papers shown

1.

Mattioni, Anna, Valerio Caputo, Valentina Cianfanelli, et al.. (2025). A variant of the autophagic receptor NDP52 counteracts phospho-TAU accumulation and emerges as a protective factor for Alzheimer’s disease. Cell Death and Disease. 16(1). 300–300. 4 indexed citations

2.

Laricchiuta, Daniela, Juliette Gimenez, Giuseppe Sciamanna, et al.. (2023). Synaptic and transcriptomic features of cortical and amygdala pyramidal neurons predict inefficient fear extinction. Cell Reports. 42(9). 113066–113066. 6 indexed citations

3.

Laricchiuta, Daniela, Giuseppe Sciamanna, Juliette Gimenez, et al.. (2021). Optogenetic Stimulation of Prelimbic Pyramidal Neurons Maintains Fear Memories and Modulates Amygdala Pyramidal Neuron Transcriptome. International Journal of Molecular Sciences. 22(2). 810–810. 9 indexed citations

4.

Mattioni, Anna, Luisa Castagnoli, & Elena Santonico. (2020). RNF11 at the Crossroads of Protein Ubiquitination. Biomolecules. 10(11). 1538–1538. 11 indexed citations

5.

Mattioni, Anna, Karsten Boldt, Giulio Auciello, et al.. (2020). Ring Finger Protein 11 acts on ligand‐activated EGFR via the direct interaction with the UIM region of ANKRD13 protein family. FEBS Journal. 287(16). 3526–3550. 13 indexed citations

6.

Nepravishta, Ridvan, Anna Mattioni, Janine Weber, et al.. (2019). CoCUN, a Novel Ubiquitin Binding Domain Identified in N4BP1. Biomolecules. 9(7). 284–284. 10 indexed citations

7.

Sacco, Francesca, Anna Mattioni, Karsten Boldt, et al.. (2016). A subset of RAB proteins modulates PP2A phosphatase activity. Scientific Reports. 6(1). 32857–32857. 4 indexed citations

8.

Perfetto, Livia, Leonardo Briganti, Alberto Calderone, et al.. (2015). SIGNOR: a database of causal relationships between biological entities. Nucleic Acids Research. 44(D1). D548–D554. 167 indexed citations

9.

Santonico, Elena, Anna Mattioni, Simona Panni, et al.. (2014). RNF11 is a GGA protein cargo and acts as a molecular adaptor for GGA3 ubiquitination mediated by Itch. Oncogene. 34(26). 3377–3390. 15 indexed citations

10.

Santonico, Elena, Anna Mattioni, & Alberto Calderone. (2014). RNF11 (ring finger protein 11). Atlas of Genetics and Cytogenetics in Oncology and Haematology.

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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