Luisa Ceccarini
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Cholinesterase and Neurodegenerative Diseases 4
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- Cardiac electrophysiology and arrhythmias 4
- Co-authors
- Maurizio Recanatini (6 shared papers)Andrea Cavalli (6 shared papers)Vincenza Andrisano (4 shared papers)Manuela Bartolini (4 shared papers)Carlo Melchiorre (2 shared papers)Fabrizio De Ponti (1 shared paper)María Laura Bolognesi (2 shared papers)Vincenzo Tumiatti (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)ChemMedChem (2 papers)Bioorganic & Medicinal Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)Expert Opinion on Drug Metabolism & Toxicology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Luisa Ceccarini
8 papers receiving 431 citations
Peers
Comparison fields: 5 of 59
- Pharmacology 256
- Computational Theory and Mathematics 212
- Complementary and alternative medicine 49
- Physiology 110
- Organic Chemistry 119
Countries citing papers authored by Luisa Ceccarini
This map shows the geographic impact of Luisa Ceccarini'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 Luisa Ceccarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Ceccarini more than expected).
Fields of papers citing papers by Luisa Ceccarini
This network shows the impact of papers produced by Luisa Ceccarini. 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 Luisa Ceccarini. The network helps show where Luisa Ceccarini may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Ceccarini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 170 | |
| 2 | 2010 | 83 | |
| 3 | 2009 | 63 | |
| 4 | 2010 | 40 | |
| 5 | 2012 | 29 | |
| 6 | 2009 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2012 | 14 |
About Luisa Ceccarini
Luisa Ceccarini is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, Molecular Biology and Physiology, having authored 8 papers that have together received 440 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Alzheimer's disease research and treatments (2 papers), Chemical synthesis and alkaloids (1 paper), Ion channel regulation and function (1 paper), Phosphodiesterase function and regulation (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Pharmacology (256 citations), Computational Theory and Mathematics (212 citations), Complementary and alternative medicine (49 citations), Physiology (110 citations) and Organic Chemistry (119 citations). Luisa Ceccarini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Maurizio Recanatini, Andrea Cavalli, Vincenza Andrisano, Manuela Bartolini, Carlo Melchiorre, Fabrizio De Ponti, María Laura Bolognesi, Vincenzo Tumiatti, Michela Rosini and Emanuel Raschi. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Bioorganic & Medicinal Chemistry, Journal of Chemical Information and Modeling and Expert Opinion on Drug Metabolism & Toxicology.
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.