Melinda S. Beccari

1.8k citations
5 papers · 628 indexed · 2 hit papers · h-index 4

Melinda S. Beccari

4 papers receiving 624 citations

Hit Papers

HSP70 chaperones RNA-free TDP-43 into anisotropic intranu...2182019202620212023100200300

Peers

Melinda S. Beccari
Comparison fields: 5 of 63
  • Genetics 274
  • Neurology 338
  • Molecular Biology 426
  • Neurology 39
  • Developmental Neuroscience 17
Replace Irune Guerra San Juan with:
Irune Guerra San Juan Netherlands
Danae Campos‐Melo Canada
Paul R. Mayer United States
Ze’ev Melamed United States
Ximena Paez-Colasante United States
Jacob R. Mann United States
Tijs Vandoorne Belgium
Miha Modic United Kingdom
Shashirekha S. Markandaiah United States
Seiya Tokunaga United States
Melinda S. Beccari relative to Irune Guerra San Juan Netherlands Irune Guerra San Juan's profile →
Citations per field
00.5×
Irune Guerra San Juan · 1×
Citations per year

Countries citing papers authored by Melinda S. Beccari

Since Specialization
Citations

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

Fields of papers citing papers by Melinda S. Beccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melinda S. Beccari. 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 Melinda S. Beccari. The network helps show where Melinda S. Beccari may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Melinda S. Beccari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melinda S. Beccari Line = papers co-authored together Melinda S. Beccari links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20250
2
HSP70 chaperones RNA-free TDP-43 into anisotropic intranuclear liquid spherical shellsbreakdown →
2021218
3
Premature polyadenylation-mediated loss of stathmin-2 is a hallmark of TDP-43-dependent neurodegenerationbreakdown →
2019339
4 201652
5 201519

About Melinda S. Beccari

Melinda S. Beccari is a scholar working on Aging, Genetics and Neurology, having authored 5 papers that have together received 628 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), RNA Research and Splicing (2 papers), Genetic Neurodegenerative Diseases (1 paper), Pluripotent Stem Cells Research (1 paper), Mesenchymal stem cell research (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Genetics (274 citations), Neurology (338 citations) and Molecular Biology (426 citations). Melinda S. Beccari has collaborated with scholars based in United States, Spain and Brazil. Frequent co-authors include Don W. Cleveland, Sandrine Da Cruz, María José Gómez-Rodríguez, Clotilde Lagier‐Tourenne, Ze’ev Melamed, Ying Sun, Takuya Ohkubo, Frank Rigo, Michael W. Baughn and Fernande Freyermuth. Their work appears in journals such as Stem Cells and Development, Cytometry Part A, Science, Proceedings of the National Academy of Sciences and Nature Neuroscience.

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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