Daniela Sorriento

4.6k citations
85 papers · 3.2k indexed · h-index 32

Impact in

Papers in

Daniela Sorriento

81 papers receiving 3.2k citations

Peers

Daniela Sorriento
Comparison fields: 5 of 144
  • Cardiology and Cardiovascular Medicine 732
  • Health, Toxicology and Mutagenesis 300
  • Molecular Biology 1.5k
  • Physiology 552
  • Cancer Research 248
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Quan Fang China
Fan Fan Hou China
Pamela A. Lucchesi United States
Masashi Akaike Japan
Susanne Rohrbach Germany
Gopi K. Kolluru United States
Loren E. Wold United States
Gabriela García United States
Bo Xu China
Daniela Sorriento relative to Quan Fang China Quan Fang's profile →
Citations per field
00.5×1.5×2.3×
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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-authorship network

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
#Work
1 20250
2 202410
3 20233
4 20234
5 202215
6 202217
7 202118
8 20216
9 202115
10 20219
11 202114
12 202133
13 202022
14 202010
15 202020
16 2019166
17 201838
18 20186
19 201816
20 201728

About Daniela Sorriento

Daniela Sorriento is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Cancer Research and Biochemistry, having authored 85 papers that have together received 3.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Nitric Oxide and Endothelin Effects (9 papers), Mitochondrial Function and Pathology (9 papers), Adipose Tissue and Metabolism (9 papers), Cardiac Fibrosis and Remodeling (6 papers), NF-κB Signaling Pathways (6 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (732 citations), Health, Toxicology and Mutagenesis (300 citations), Molecular Biology (1.5k citations), Physiology (552 citations) and Cancer Research (248 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, Cells 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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