Daniela Sorriento

4.7k citations
86 papers · 3.3k · h-index 32

Impact in

Papers in

    • Receptor Mechanisms and Signaling 15
    • Mitochondrial Function and Pathology 9
    • Protein Kinase Regulation and GTPase Signaling 8
    • Signaling Pathways in Disease 5
    • Adipose Tissue and Metabolism 8
    • Nitric Oxide and Endothelin Effects 6
    • Lysosomal Storage Disorders Research 5

Daniela Sorriento

82 papers receiving 3.3k citations

Peers

Daniela Sorriento
Comparison fields: 5 of 142
  • Cardiology and Cardiovascular Medicine 637
  • Health, Toxicology and Mutagenesis 297
  • Physiology 476
  • Molecular Biology 1.3k
  • Cancer Research 210
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Quan Fang China
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Lei Wang China
Xuping Wang China
Gopi K. Kolluru United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Sorriento

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Sorriento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017364
2 2005252
3 2012182
4 2019171
5 2005140
6 200899
7 201095
8 201895
9 201288
10 201283
11 200479
12 202179
13 201176
14 202070
15 201367
16 202160
17 201560
18 201354
19 201751
20 201151

About Daniela Sorriento

Daniela Sorriento is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Oncology and Immunology, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Mitochondrial Function and Pathology (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Adipose Tissue and Metabolism (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers), Lysosomal Storage Disorders Research (5 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (637 citations), Health, Toxicology and Mutagenesis (297 citations), Physiology (476 citations), Molecular Biology (1.3k citations) and Cancer Research (210 citations). Daniela Sorriento has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Guido Iaccarino, Bruno Trimarco, Gaetano Santulli, Antonella Fiordelisi, Enrico Coscioni, Michele Ciccarelli, Carmine Del Giudice, Ersilia Cipolletta, Antonio Anastasio and Prisco Piscitelli. Their work appears in journals such as International Journal of Molecular Sciences, Oxidative Medicine and Cellular Longevity, Frontiers in Cardiovascular Medicine, PLoS ONE and Vascular Pharmacology.

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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