Elisa Uliassi
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Protein Degradation and Inhibitors 4
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- Synthesis and Biological Evaluation 7
- Co-authors
- María Laura Bolognesi (35 shared papers)Katarina Nikolić (1 shared paper)Rona R. Ramsay (1 shared paper)Marija R. Popović-Nikolić (1 shared paper)Federica Prati (4 shared papers)Maria Paola Costi (8 shared papers)Marinella Roberti (4 shared papers)Rafael Luque (1 shared paper)
In The Last Decade
Elisa Uliassi
41 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 438
- Pharmacology 441
- Toxicology 77
- Physiology 66
- Organic Chemistry 400
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 43 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 | 527 |
| 2 | 2021 | 149 | |
| 3 | 2015 | 137 | |
| 4 | 2014 | 136 | |
| 5 | 2016 | 85 | |
| 6 | 2014 | 66 | |
| 7 | 2014 | 47 | |
| 8 | 2016 | 45 | |
| 9 | 2016 | 44 | |
| 10 | 2022 | 34 | |
| 11 | 2017 | 25 | |
| 12 | 2022 | 25 | |
| 13 | 2017 | 21 | |
| 14 | 2023 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2023 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2015 | 18 | |
| 20 | 2017 | 16 |
About Elisa Uliassi
Elisa Uliassi is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Computational Theory and Mathematics and Epidemiology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), Computational Drug Discovery Methods (7 papers), Synthesis and Biological Evaluation (7 papers), Trypanosoma species research and implications (6 papers), Research on Leishmaniasis Studies (5 papers), Protein Degradation and Inhibitors (4 papers), Alzheimer's disease research and treatments (4 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Computational Theory and Mathematics (438 citations), Pharmacology (441 citations), Toxicology (77 citations), Physiology (66 citations) and Organic Chemistry (400 citations). Elisa Uliassi has collaborated with scholars based in Italy, Brazil and Germany. Frequent co-authors include María Laura Bolognesi, Katarina Nikolić, Rona R. Ramsay, Marija R. Popović-Nikolić, Federica Prati, Maria Paola Costi, Marinella Roberti, Rafael Luque, Claudia Espro and Daily Rodríguez‐Padrón. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, ACS Chemical Neuroscience, European Journal of Medicinal Chemistry and Molecules.
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.