Leonardo Pisani

3.5k citations
74 papers · 3.0k indexed · 2 hit papers · h-index 29

Leonardo Pisani

74 papers receiving 2.9k citations

Hit Papers

Coumarin: A Natural, Privileged and...4912007202620132019100200300400500

Peers

Leonardo Pisani
Comparison fields: 5 of 113
  • Pharmacology 1.4k
  • Organic Chemistry 1.5k
  • Computational Theory and Mathematics 738
  • Complementary and alternative medicine 206
  • Biological Psychiatry 55
Replace Matilde Yáñez with:
Matilde Yáñez Spain
Cosimo Altomare Italy
Marco Catto Italy
Paola Chimenti Italy
Dolores Viña Spain
Barbara Malawska Poland
Gülberk Uçar Türkiye
Vincenzo Tumiatti Italy
Adriana Bolasco Italy
Abdelouahid Samadi Spain
Leonardo Pisani relative to Matilde Yáñez Spain Matilde Yáñez's profile →
Citations per field
00.5×1.5×2.1×
Matilde Yáñez · 1×
Citations per year

Countries citing papers authored by Leonardo Pisani

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Pisani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202412
3 202410
4 202228
5 202211
6 202221
7 202111
8 202112
9 202110
10 202020
11 202012
12 20209
13 201924
14 201953
15 201830
16
Coumarin: A Natural, Privileged and Versatile Scaffold for Bioactive Compoundsbreakdown →
2018491
17 201842
18 201734
19 201732
20 201645

About Leonardo Pisani

Leonardo Pisani is a scholar working on Pharmacology, Computational Theory and Mathematics and Biological Psychiatry, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (39 papers), Computational Drug Discovery Methods (33 papers), Chemical synthesis and alkaloids (10 papers), Synthesis and biological activity (9 papers), Click Chemistry and Applications (9 papers), Alzheimer's disease research and treatments (8 papers), Medicinal Plants and Neuroprotection (7 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Pharmacology (1.4k citations), Organic Chemistry (1.5k citations) and Computational Theory and Mathematics (738 citations). Leonardo Pisani has collaborated with scholars based in Italy, Spain and Russia. Frequent co-authors include Angelo Carotti, Marco Catto, Francesco Leonetti, Angela Stefanachi, Orazio Nicolotti, Carla Caccia, Cosimo Altomare, Saverio Cellamare, Patricia Salvati and Claudia Binda. Their work appears in journals such as Journal of Medicinal Chemistry, Molecules and Biochemical 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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