Chiara Di Malta

10.4k citations
19 papers · 5.6k indexed · 3 hit papers · h-index 15
Topics
Autophagy in Disease and Therapy (10 papers)Lysosomal Storage Disorders Research (6 papers)Calcium signaling and nucleotide metabolism (5 papers)

In The Last Decade

Chiara Di Malta

18 papers receiving 5.6k citations

Hit Papers

TFEB Links Autophagy to Lysosomal Biogenesis200920262014202020112009202050010001.5k2.0k

Peers

Chiara Di Malta
Comparison fields: 5 of 109
  • Epidemiology 3.3k
  • Molecular Biology 2.5k
  • Physiology 1.3k
  • Cell Biology 1.3k
  • Physiology 1.1k
Replace Francesco Vetrini with:
Francesco Vetrini United States
Tuong Huynh United States
Ian G. Ganley United Kingdom
Shouqing Luo United Kingdom
José A. Martina United States
Marco Sardiello United States
Alberto di Ronza United States
Farah H. Siddiqi United Kingdom
Tassula Proikas‐Cezanne Germany
Taichi Hara Japan
Chiara Di Malta relative to Francesco Vetrini United States Francesco Vetrini's profile →
Citations per field
00.5×1.5×1.8×
Francesco Vetrini · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 16
3 86
4 7
5 60
6
A substrate-specific mTORC1 pathway underlies Birt–Hogg–Dubé syndromebreakdown →
208
7 33
8 193
9 21
10 287
11 108
12 34
13 11
14 33
15 98
16
TFEB Links Autophagy to Lysosomal Biogenesisbreakdown →
2496
17
A Gene Network Regulating Lysosomal Biogenesis and Functionbreakdown →
1885
18 13
19 24

About Chiara Di Malta

Chiara Di Malta is a scholar working on Physiology, Physiology and Epidemiology, having authored 19 papers that have together received 5.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Lysosomal Storage Disorders Research (6 papers) and Calcium signaling and nucleotide metabolism (5 papers). The work is most often cited by research in Physiology (1.1k citations), Epidemiology (3.3k citations) and Aging (141 citations). Chiara Di Malta has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Andrea Ballabio, Diego L. Medina, Marco Sardiello, Carmine Settembre, Moisés Garcı́a-Arencibia, Pasqualina Colella, Vinicia Assunta Polito, David C. Rubinsztein, Serkan Erdin and Tuong Huynh. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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