Daniela Pizzirani

1.9k citations
32 papers · 1.6k indexed · h-index 22

Impact in

Papers in

Daniela Pizzirani

32 papers receiving 1.5k citations

Peers

Daniela Pizzirani
Comparison fields: 5 of 87
  • Geriatrics and Gerontology 254
  • Toxicology 94
  • Organic Chemistry 645
  • Pharmacology 340
  • Computational Theory and Mathematics 165
Replace Alessandra Ammazzalorso with:
Alessandra Ammazzalorso Italy
Letizia Giampietro Italy
Marialuigia Fantacuzzi Italy
Bruce G. Szczepankiewicz United States
Rajesh Devraj United States
David A. Griffith United States
Nishant Jain India
Zsófia Kutil Czechia
Soosung Kang South Korea
Daniela Pizzirani relative to Alessandra Ammazzalorso Italy Alessandra Ammazzalorso's profile →
Citations per field
00.5×1.5×2.4×
Alessandra Ammazzalorso · 1×
Citations per year

Countries citing papers authored by Daniela Pizzirani

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pizzirani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201728
2 201621
3 20168
4 201572
5 201524
6 201560
7 201422
8 2014102
9 20143
10 20147
11 2013125
12 201340
13 200982
14 20087
15 200767
16 20077
17 2005141
18 200465
19 200434
20 2003195

About Daniela Pizzirani

Daniela Pizzirani is a scholar working on Geriatrics and Gerontology, Pharmacology, Toxicology, Organic Chemistry and Physiology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Carbohydrate Chemistry and Synthesis (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Synthesis and biological activity (3 papers), Alzheimer's disease research and treatments (3 papers), Computational Drug Discovery Methods (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Geriatrics and Gerontology (254 citations), Toxicology (94 citations), Organic Chemistry (645 citations), Pharmacology (340 citations) and Computational Theory and Mathematics (165 citations). Daniela Pizzirani has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Marinella Roberti, Stefania Grimaudo, Manlio Tolomeo, Daniele Piomelli, Daniele Simoni, Natalia Realini, Maurizio Recanatini, Laura Garuti, Andrea Armirotti and Giovanni Bottegoni. Their work appears in journals such as Journal of Medicinal Chemistry, Angewandte Chemie International Edition, Organic Letters, European Journal of Medicinal Chemistry and Scientific Reports.

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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