Aurora Valeri

672 citations
16 papers · 493 indexed · 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

    • Urinary Bladder and Prostate Research 2
    • Analytical Chemistry and Chromatography 4

Aurora Valeri

16 papers receiving 487 citations

Peers

Aurora Valeri
Comparison fields: 5 of 86
  • Pharmacology 51
  • Spectroscopy 88
  • Molecular Biology 319
  • Biochemistry 30
  • Urology 23
Replace Fen Wei with:
Fen Wei China
Serhiy Hnatyshyn United States
Appavu Chandrasekaran United States
Paresh C. Sanghani United States
Ryuichi Kato Japan
Bogdan Sleczka United States
Qingwei Zhang China
Joanna J. Zheng United States
Thomas K. Shires United States
Mark Niosi United States
Aurora Valeri relative to Fen Wei China Fen Wei's profile →
Citations per field
00.5×4.3×
Fen Wei · 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-authorship network

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

16 of 16 papers shown
#Work
1 20225
2 202099
3 201910
4 201817
5 20173
6 201787
7 201748
8 201613
9 201622
10 201433
11 2014112
12 201214
13 20125
14 200910
15 20088
16 20077

About Aurora Valeri

Aurora Valeri is a scholar working on Urology, Spectroscopy, Biochemistry, Developmental Neuroscience and Pharmacology, having authored 16 papers that have together received 493 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), Pharmacogenetics and Drug Metabolism (2 papers), Protein Degradation and Inhibitors (2 papers), Phytoestrogen effects and research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Pharmacology (51 citations), Spectroscopy (88 citations), Molecular Biology (319 citations), Biochemistry (30 citations) and Urology (23 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 Neurourology and Urodynamics, Journal of Medicinal Chemistry, International Journal of Molecular Sciences, European Journal of Medicinal Chemistry 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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