Aurora Valeri

692 citations
18 papers · 528 · h-index 11

Impact in

  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism
  • Spectroscopy top 10%
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Analytical Chemistry and Chromatography 4

Aurora Valeri

16 papers receiving 520 citations

Peers

Aurora Valeri
Comparison fields: 5 of 84
  • Pharmacology 53
  • Spectroscopy 88
  • Molecular Biology 327
  • Biochemistry 29
  • Urology 20
Replace Simon Beuck with:
Simon Beuck Germany
Fen Wei China
Serhiy Hnatyshyn United States
Rakesh Nagilla United States
Aya Miyoshi Japan
Bogdan Sleczka United States
Ryuichi Kato Japan
Hans Helleberg Denmark
Paresh C. Sanghani United States
Xavier Matabosch Spain
Aurora Valeri relative to Simon Beuck Germany Simon Beuck's profile →
Citations per field
00.5×6.7×
Simon Beuck · 1×
Citations per year

Countries citing papers authored by Aurora Valeri

Since Specialization
Citations

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

Fields of papers citing papers by Aurora Valeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014115
2 2020108
3 201794
4 201749
5 201439
6 201624
7 201218
8 201817
9 201614
10 200911
11 201911
12 20088
13 20077
14 20125
15 20225
16 20173
17 20260
18 20260

About Aurora Valeri

Aurora Valeri is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Computational Theory and Mathematics and Biochemistry, having authored 18 papers that have together received 528 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Analytical Chemistry and Chromatography (4 papers), Computational Drug Discovery Methods (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Urinary Bladder and Prostate Research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Phytoestrogen effects and research (2 papers). The work is most often cited by research in Pharmacology (53 citations), Spectroscopy (88 citations), Molecular Biology (327 citations), Biochemistry (29 citations) and Urology (20 citations). Aurora Valeri has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Laura Goracci, Gabriele Cruciani, Roberto Maria Pellegrino, Alessandra Di Veroli, Sara Tortorella, Jenny Desantis, Massimo Valoti, Susan Lepri, Federica Pessina and Massimo Baroni. Their work appears in journals such as Journal of Medicinal Chemistry, Neurourology and Urodynamics, Chemical Research in Toxicology, International Journal of Molecular Sciences and Journal of Pharmacy and 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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