Elisa Uliassi
Impact in
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
- Pharmacology 11
- Cholinesterase and Neurodegenerative Diseases 11
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- Alzheimer's disease research and treatments 8
- Adenosine and Purinergic Signaling 4
- Co-authors
- María Laura Bolognesi (36 shared papers)Rona Ruth Ramsay (1 shared paper)Marija R. Popović-Nikolić (1 shared paper)Katarina M. Nikolic (1 shared paper)Federica Prati (5 shared papers)Marinella Roberti (4 shared papers)Maria Paola Costi (7 shared papers)Daily Rodríguez‐Padrón (1 shared paper)
In The Last Decade
Elisa Uliassi
46 papers receiving 1.9k citations
Elisa Uliassi's Hit Papers
Peers
Comparison fields: 5 of 111
- Pharmacology 454
- Computational Theory and Mathematics 284
- Physiology 58
- Physiology 276
- Cell Biology 107
Countries citing papers authored by Elisa Uliassi
This map shows the geographic impact of Elisa Uliassi'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 Elisa Uliassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Uliassi more than expected).
Fields of papers citing papers by Elisa Uliassi
This network shows the impact of papers produced by Elisa Uliassi. 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 Elisa Uliassi. The network helps show where Elisa Uliassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa Uliassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A perspective on multi‐target drug discovery and design for complex diseases Hit paper breakdown → | 2018 | 600 |
| 2 | 2021 | 172 | |
| 3 | 2014 | 147 | |
| 4 | 2015 | 145 | |
| 5 | 2016 | 102 | |
| 6 | 2019 | 98 | |
| 7 | 2014 | 70 | |
| 8 | 2014 | 49 | |
| 9 | 2016 | 48 | |
| 10 | 2016 | 46 | |
| 11 | 2022 | 40 | |
| 12 | 2022 | 35 | |
| 13 | 2023 | 31 | |
| 14 | 2017 | 30 | |
| 15 | 2023 | 28 | |
| 16 | 2024 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2019 | 24 | |
| 19 | 2021 | 22 | |
| 20 | 2017 | 21 |
About Elisa Uliassi
Elisa Uliassi is a scholar working on Pharmacology, Physiology, Physiology, Neurology and Computational Theory and Mathematics, having authored 46 papers that have together received 2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Alzheimer's disease research and treatments (8 papers), Trypanosoma species research and implications (6 papers), Protein Degradation and Inhibitors (4 papers), Adenosine and Purinergic Signaling (4 papers), Computational Drug Discovery Methods (4 papers), Malaria Research and Control (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). The work is most often cited by research in Pharmacology (454 citations), Computational Theory and Mathematics (284 citations), Physiology (58 citations), Physiology (276 citations) and Cell Biology (107 citations). Elisa Uliassi has collaborated with scholars based in Italy, Brazil and Czechia. Frequent co-authors include María Laura Bolognesi, Rona Ruth Ramsay, Marija R. Popović-Nikolić, Katarina M. Nikolic, Federica Prati, Marinella Roberti, Maria Paola Costi, Daily Rodríguez‐Padrón, Manuela Bartolini and Roberto Gotti. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, ACS Chemical Neuroscience, European Journal of Medicinal Chemistry and RSC Medicinal Chemistry.
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.