Matteo Bizzotto

578 total citations · 1 hit paper
6 papers, 374 citations indexed

About

Matteo Bizzotto is a scholar working on Neurology, Immunology and Cell Biology. According to data from OpenAlex, Matteo Bizzotto has authored 6 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Immunology and 2 papers in Cell Biology. Recurrent topics in Matteo Bizzotto's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Zebrafish Biomedical Research Applications (2 papers) and Inflammation biomarkers and pathways (2 papers). Matteo Bizzotto is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Zebrafish Biomedical Research Applications (2 papers) and Inflammation biomarkers and pathways (2 papers). Matteo Bizzotto collaborates with scholars based in Italy, United States and Germany. Matteo Bizzotto's co-authors include Raffaella Morini, Michela Matteoli, Fabia Filipello, Fabio Perrucci, Elisa Faggiani, Matteo Tamborini, Agata Witkowska, Lorena Passoni, Beth Stevens and Nicole Scott‐Hewitt and has published in prestigious journals such as The EMBO Journal, Immunity and International Journal of Molecular Sciences.

In The Last Decade

Matteo Bizzotto

6 papers receiving 374 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Local externalization of phosphatidylserine mediates developmental synaptic pruning by microglia

2020 285 citations Nicole Scott‐Hewitt, Fabio Perrucci et al. The EMBO Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Bizzotto Italy	4	252	133	92	79	79	6	374
Alireza Kamyabi Canada	3	280 1.1×	119 0.9×	88 1.0×	70 0.9×	66 0.8×	6	358
Cagla Cömert Denmark	5	260 1.0×	110 0.8×	99 1.1×	70 0.9×	62 0.8×	9	395
Elisa Faggiani Italy	5	242 1.0×	139 1.0×	86 0.9×	70 0.9×	77 1.0×	7	392
Liwang Liu United States	4	251 1.0×	104 0.8×	101 1.1×	94 1.2×	98 1.2×	5	389
Noelia Rodríguez-Iglesias Spain	5	248 1.0×	110 0.8×	60 0.7×	67 0.8×	55 0.7×	6	370
Erica Mondo United States	4	266 1.1×	105 0.8×	54 0.6×	95 1.2×	39 0.5×	4	335
Iñaki Paris Spain	4	251 1.0×	124 0.9×	58 0.6×	66 0.8×	53 0.7×	5	350
Nicole Scott‐Hewitt United States	7	254 1.0×	125 0.9×	127 1.4×	92 1.2×	153 1.9×	7	465
Se Young Lee South Korea	5	223 0.9×	66 0.5×	78 0.8×	125 1.6×	110 1.4×	9	392
Stefano Suzzi Israel	7	326 1.3×	132 1.0×	148 1.6×	79 1.0×	127 1.6×	7	452

Countries citing papers authored by Matteo Bizzotto

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Bizzotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Bizzotto

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Morini, Raffaella, Erica Tagliatti, Matteo Bizzotto, & Michela Matteoli. (2025). Microglial and TREM2 dialogues in the developing brain. Immunity. 58(5). 1068–1084. 1 indexed citations

2.

Tagliatti, Erica, Matteo Bizzotto, Raffaella Morini, et al.. (2024). Prenatal drivers of microglia vulnerability in the adult. Immunological Reviews. 327(1). 100–110. 2 indexed citations

3.

Tagliatti, Erica, Genni Desiato, Sara Mancinelli, et al.. (2023). Trem2 expression in microglia is required to maintain normal neuronal bioenergetics during development. Immunity. 57(1). 86–105.e9. 49 indexed citations

4.

Morini, Raffaella, Matteo Bizzotto, Fabio Perrucci, Fabia Filipello, & Michela Matteoli. (2021). Strategies and Tools for Studying Microglial-Mediated Synapse Elimination and Refinement. Frontiers in Immunology. 12. 640937–640937. 16 indexed citations

5.

Scott‐Hewitt, Nicole, Fabio Perrucci, Raffaella Morini, et al.. (2020). Local externalization of phosphatidylserine mediates developmental synaptic pruning by microglia. The EMBO Journal. 39(16). e105380–e105380. 285 indexed citations breakdown →

6.

Balestra, Dario, Domenico Di Giorgio, Matteo Bizzotto, et al.. (2019). Splicing Mutations Impairing CDKL5 Expression and Activity Can be Efficiently Rescued by U1snRNA-Based Therapy. International Journal of Molecular Sciences. 20(17). 4130–4130. 21 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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