Laura Parente

419 citations
9 papers · 326 · h-index 7

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Peroxisome Proliferator-Activated Receptors 2
    • RNA Interference and Gene Delivery 2
    • RNA Research and Splicing 2
    • Virus-based gene therapy research 2

Laura Parente

8 papers receiving 323 citations

Peers

Laura Parente
Comparison fields: 5 of 71
  • Biophysics 72
  • Cell Biology 98
  • Developmental Neuroscience 17
  • Neurology 29
  • Molecular Biology 177
Replace Sanjid Shahriar with:
Sanjid Shahriar United States
Charlotte Javalet France
Taryn E. Gillies United States
Haifeng Jiao China
Teresa Bonello United States
Peizhou Liang China
Rocky Shi Canada
Johan Heldin Sweden
Georgios Kanellos United Kingdom
Kristin J Al-Ghoul United States
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Citations per field
00.5×3.4×
Sanjid Shahriar · 1×
Citations per year

Countries citing papers authored by Laura Parente

Since Specialization
Citations

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

Fields of papers citing papers by Laura Parente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Laura Parente, 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 Laura Parente Line = papers co-authored together Laura Parente links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201091
2 201190
3 201136
4 200934
5 201130
6 201220
7 201519
8 20156
9
The Important Importins: Nuclear Import of the Thyroid Hormone Receptor alpha
20100

About Laura Parente

Laura Parente is a scholar working on Molecular Biology, Genetics, Biophysics, Immunology and Pharmacology, having authored 9 papers that have together received 326 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (2 papers), Lipid Membrane Structure and Behavior (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Virus-based gene therapy research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers) and Trace Elements in Health (1 paper). The work is most often cited by research in Biophysics (72 citations), Cell Biology (98 citations), Developmental Neuroscience (17 citations), Neurology (29 citations) and Molecular Biology (177 citations). Laura Parente has collaborated with scholars based in United States. Frequent co-authors include Roberto Weigert, Monika Šrámková, Andrius Masedunskas, Panomwat Amornphimoltham, Katiuchia Uzzun Sales, Thomas Bugge, Christopher D. Toscano, Francesca Bosetti, Sara Palumbo and Alfredo A. Molinolo. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Histochemistry and Cell Biology, Molecular and Cellular Endocrinology, American Journal of Physiology-Cell Physiology and Journal of Neurochemistry.

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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