Laura Masino

3.9k citations
35 papers · 2.7k indexed · 1 hit paper · h-index 23
Topics
Genetic Neurodegenerative Diseases (13 papers)Mitochondrial Function and Pathology (10 papers)Ubiquitin and proteasome pathways (6 papers)

In The Last Decade

Laura Masino

34 papers receiving 2.6k citations

Hit Papers

EGCG redirects amyloidogenic polypeptides into unstructur...200820262014202020082505007501000

Peers

Laura Masino
Comparison fields: 5 of 107
  • Molecular Biology 1.7k
  • Physiology 860
  • Cellular and Molecular Neuroscience 796
  • Neurology 353
  • Materials Chemistry 236
Replace Larissa A. Munishkina with:
Larissa A. Munishkina United States
Vasanthy Narayanaswami United States
Caroline Smet‐Nocca France
Philip V. LoGrasso United States
Regina M. Murphy United States
Benedetta Mannini United Kingdom
Matthew Biancalana United States
Danilo Milardi Italy
Robert Zamboni Canada
Erik Hellstrand Sweden
Laura Masino relative to Larissa A. Munishkina United States Larissa A. Munishkina's profile →
Citations per field
00.5×1.5×2.2×
Larissa A. Munishkina · 1×
Citations per year

Countries citing papers authored by Laura Masino

Since Specialization
Citations

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

Fields of papers citing papers by Laura Masino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Masino

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Masino. A scholar is included among the top collaborators of Laura Masino 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 Laura Masino. Laura Masino 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
#WorkIndexed citations
1 5
2 9
3 6
4 7
5 34
6 31
7 25
8 26
9 17
10 44
11 71
12
EGCG redirects amyloidogenic polypeptides into unstructured, off-pathway oligomersbreakdown →
1191
13 90
14 6
15 103
16 91
17 127
18
The effect of point mutations EF-hands on the conformation, stability, and calcium affinity of calmodulin.
1
19 77
20 105

About Laura Masino

Laura Masino is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Molecular Biology, having authored 35 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (10 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (796 citations), Physiology (860 citations) and Molecular Biology (1.7k citations). Laura Masino has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Annalisa Pastore, Rudi Lurz, Annett Boeddrich, Erich E. Wanker, Jan Bieschke, Sabine Engemann, Martin Herbst, Dagmar E. Ehrnhoefer, Giuseppe Nicastro and Rajesh P. Menon. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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