Laura Fedrizzi

794 citations
12 papers · 634 · h-index 10

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Ion Channels and Receptors
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

    • Ion channel regulation and function 4
    • Signaling Pathways in Disease 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Ion Channels and Receptors 2

Laura Fedrizzi

12 papers receiving 626 citations

Peers

Laura Fedrizzi
Comparison fields: 5 of 98
  • Sensory Systems 76
  • Physiology 54
  • Cellular and Molecular Neuroscience 216
  • Molecular Biology 423
  • Neurology 76
Replace Fernando Picatoste with:
Fernando Picatoste Spain
Mélissa Bol Belgium
Raul E. Guzman Germany
Seth Malmersjö Sweden
Hea Jin Ryu South Korea
Haijun Chen United States
Cristina Tinti Italy
Elías Leiva‐Salcedo Chile
Michael Kirmiz United States
William E. McIntire United States
Laura Fedrizzi relative to Fernando Picatoste Spain Fernando Picatoste's profile →
Citations per field
00.5×2.8×
Fernando Picatoste · 1×
Citations per year

Countries citing papers authored by Laura Fedrizzi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Fedrizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laura Fedrizzi, 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 Fedrizzi Line = papers co-authored together Laura Fedrizzi links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2008211
2 2007165
3 200796
4 201132
5 200726
6 200723
7 200820
8 200820
9 201214
10 201211
11 20129
12 20077

About Laura Fedrizzi

Laura Fedrizzi is a scholar working on Molecular Biology, Sensory Systems, Pharmacology, Cellular and Molecular Neuroscience and Neurology, having authored 12 papers that have together received 634 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Signaling Pathways in Disease (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ion Channels and Receptors (2 papers), Pancreatic function and diabetes (1 paper), Alzheimer's disease research and treatments (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Sensory Systems (76 citations), Physiology (54 citations), Cellular and Molecular Neuroscience (216 citations), Molecular Biology (423 citations) and Neurology (76 citations). Laura Fedrizzi has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Ernesto Carafoli, Dmitry Lim, Francesca Di Leva, Teuta Domi, Marisa Brini, Marzia Tartari, Chiara Zuccato, Elena Cattaneo, Salvatore Melchionda and Paolo Gasparini. Their work appears in journals such as Journal of Biological Chemistry, BioFactors, Annals of the New York Academy of Sciences, Archives of Biochemistry and Biophysics and Neuropathology and Applied Neurobiology.

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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