Chiara Di Malta

10.4k total citations · 3 hit papers
19 papers, 5.6k citations indexed

About

Chiara Di Malta is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Chiara Di Malta has authored 19 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Chiara Di Malta's work include Autophagy in Disease and Therapy (10 papers), Lysosomal Storage Disorders Research (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). Chiara Di Malta is often cited by papers focused on Autophagy in Disease and Therapy (10 papers), Lysosomal Storage Disorders Research (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). Chiara Di Malta collaborates with scholars based in Italy, United States and United Kingdom. Chiara Di Malta's co-authors include Andrea Ballabio, Diego L. Medina, Marco Sardiello, Carmine Settembre, David C. Rubinsztein, Tuong Huynh, Moisés Garcı́a-Arencibia, Vinicia Assunta Polito, Francesco Vetrini and Serkan Erdin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Chiara Di Malta

18 papers receiving 5.6k citations

Hit Papers

TFEB Links Autophagy to L... 2009 2026 2014 2020 2011 2009 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Di Malta Italy 15 3.3k 2.5k 1.3k 1.3k 1.1k 19 5.6k
Francesco Vetrini United States 13 3.1k 1.0× 2.5k 1.0× 977 0.7× 1.1k 0.9× 885 0.8× 31 5.3k
Tuong Huynh United States 19 3.8k 1.2× 3.7k 1.5× 1.2k 0.9× 1.2k 1.0× 937 0.9× 19 6.7k
Ian G. Ganley United Kingdom 40 4.4k 1.3× 4.1k 1.6× 1.2k 0.9× 1.6k 1.3× 950 0.9× 80 7.6k
Farah H. Siddiqi United Kingdom 16 2.5k 0.8× 1.9k 0.8× 732 0.6× 1.1k 0.9× 542 0.5× 23 4.3k
Shouqing Luo United Kingdom 30 3.6k 1.1× 3.4k 1.3× 800 0.6× 1.3k 1.0× 492 0.5× 52 6.4k
Junji Ezaki Japan 24 3.0k 0.9× 2.2k 0.9× 1.1k 0.8× 1.3k 1.0× 522 0.5× 41 4.8k
José A. Martina United States 33 2.2k 0.7× 2.8k 1.1× 1.0k 0.8× 1.9k 1.5× 1.1k 1.0× 53 5.5k
Alberto di Ronza United States 14 1.9k 0.6× 1.5k 0.6× 1.2k 0.9× 1.0k 0.8× 848 0.8× 16 3.7k
Marco Sardiello United States 31 4.5k 1.4× 3.9k 1.6× 2.4k 1.8× 2.0k 1.6× 1.7k 1.6× 47 8.9k
Esther Wong Singapore 28 2.8k 0.9× 2.8k 1.1× 1.3k 1.0× 1.3k 1.1× 347 0.3× 48 5.9k

Countries citing papers authored by Chiara Di Malta

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Di Malta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiara Di Malta. 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 Chiara Di Malta. The network helps show where Chiara Di Malta may publish in the future.

Co-authorship network of co-authors of Chiara Di Malta

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

All Works

19 of 19 papers shown
2.
Akwa, Yvette, Chiara Di Malta, Elise Gondard, et al.. (2022). Stimulation of synaptic activity promotes TFEB-mediated clearance of pathological MAPT/Tau in cellular and mouse models of tauopathies. Autophagy. 19(2). 660–677. 16 indexed citations
3.
Cegli, Rossella De, Diego Carrella, Gennaro Gambardella, et al.. (2022). TFEBexplorer: An integrated tool to study genes regulated by the stress-responsive Transcription Factor EB. SHILAP Revista de lepidopterología. 1(1). 295–305. 7 indexed citations
4.
Napolitano, Gennaro, Chiara Di Malta, & Andrea Ballabio. (2022). Non-canonical mTORC1 signaling at the lysosome. Trends in Cell Biology. 32(11). 920–931. 86 indexed citations
5.
Du, Xiliang, Chiara Di Malta, Zhiyuan Fang, et al.. (2021). Nuciferine protects against high-fat diet-induced hepatic steatosis and insulin resistance via activating TFEB-mediated autophagy–lysosomal pathway. Acta Pharmaceutica Sinica B. 12(6). 2869–2886. 60 indexed citations
6.
Napolitano, Gennaro, Chiara Di Malta, Alessandra Esposito, et al.. (2020). A substrate-specific mTORC1 pathway underlies Birt–Hogg–Dubé syndrome. Nature. 585(7826). 597–602. 208 indexed citations breakdown →
7.
Intartaglia, Daniela, Chiara Soldati, Elena Polishchuk, et al.. (2020). Light‐responsive microRNA miR‐211 targets Ezrin to modulate lysosomal biogenesis and retinal cell clearance. The EMBO Journal. 39(8). e102468–e102468. 33 indexed citations
8.
Malta, Chiara Di, Laura Cinque, & Carmine Settembre. (2019). Transcriptional Regulation of Autophagy: Mechanisms and Diseases. Frontiers in Cell and Developmental Biology. 7. 114–114. 193 indexed citations
9.
Perera, Rushika M., Chiara Di Malta, & Andrea Ballabio. (2018). MiT/TFE Family of Transcription Factors, Lysosomes, and Cancer. PubMed. 3(1). 203–222. 108 indexed citations
10.
Settembre, Carmine, Laura Cinque, Rosa Bartolomeo, et al.. (2018). Defective collagen proteostasis and matrix formation in the pathogenesis of lysosomal storage disorders. Matrix Biology. 71-72. 283–293. 21 indexed citations
11.
Napolitano, Gennaro, Alessandra Esposito, Maria Matarese, et al.. (2018). mTOR-dependent phosphorylation controls TFEB nuclear export. Nature Communications. 9(1). 3312–3312. 287 indexed citations
12.
Frankel, Lisa B., Chiara Di Malta, Jiayu Wen, et al.. (2014). A non-conserved miRNA regulates lysosomal function and impacts on a human lysosomal storage disorder. Nature Communications. 5(1). 5840–5840. 34 indexed citations
13.
Malta, Chiara Di, et al.. (2013). Astrocyte dysfunction triggers neurodegeneration in a lysosomal storage disorder. Molecular Genetics and Metabolism. 108(2). S35–S35. 11 indexed citations
14.
Malta, Chiara Di, John Denis Fryer, Carmine Settembre, & Andrea Ballabio. (2012). Autophagy in astrocytes. Autophagy. 8(12). 1871–1872. 33 indexed citations
15.
Malta, Chiara Di, John Denis Fryer, Carmine Settembre, & Andrea Ballabio. (2012). Astrocyte dysfunction triggers neurodegeneration in a lysosomal storage disorder. Proceedings of the National Academy of Sciences. 109(35). E2334–42. 98 indexed citations
16.
Settembre, Carmine, Chiara Di Malta, Vinicia Assunta Polito, et al.. (2011). TFEB Links Autophagy to Lysosomal Biogenesis. Science. 332(6036). 1429–1433. 2496 indexed citations breakdown →
17.
Sardiello, Marco, Michela Palmieri, Alberto di Ronza, et al.. (2009). A Gene Network Regulating Lysosomal Biogenesis and Function. Science. 325(5939). 473–477. 1885 indexed citations breakdown →
18.
Monti, Daria Maria, Wenhao Yu, Elio Pizzo, et al.. (2009). Characterization of the angiogenic activity of zebrafish ribonucleases. FEBS Journal. 276(15). 4077–4090. 13 indexed citations
19.
Lorenzo, Claudia De, Chiara Di Malta, Gaetano Calı̀, et al.. (2007). Intracellular route and mechanism of action of ERB‐hRNase, a human anti‐ErbB2 anticancer immunoagent. FEBS Letters. 581(2). 296–300. 24 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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