Alba Espargaró
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
Papers in
- Physiology 42
- Alzheimer's disease research and treatments 42
-
- Prion Diseases and Protein Misfolding 13
- Protein Structure and Dynamics 11
- Co-authors
- Raimon Sabaté (55 shared papers)Salvador Ventura (22 shared papers)Francesc Avilés (3 shared papers)Montse Morell (3 shared papers)Diego Muñoz‐Torrero (11 shared papers)F. Javier Luque (11 shared papers)Natalia Sánchez de Groot (4 shared papers)Joan Estelrich (7 shared papers)
In The Last Decade
Alba Espargaró
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Physiology 693
- Pharmacology 452
- Computational Theory and Mathematics 401
- Biological Psychiatry 38
- Molecular Biology 878
Countries citing papers authored by Alba Espargaró
This map shows the geographic impact of Alba Espargaró'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 Alba Espargaró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alba Espargaró more than expected).
Fields of papers citing papers by Alba Espargaró
This network shows the impact of papers produced by Alba Espargaró. 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 Alba Espargaró. The network helps show where Alba Espargaró may publish in the future.
Co-authors
The 25 scholars most cited alongside Alba Espargaró, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 121 | |
| 2 | 2011 | 86 | |
| 3 | 2016 | 74 | |
| 4 | 2017 | 73 | |
| 5 | 2007 | 70 | |
| 6 | 2015 | 65 | |
| 7 | 2021 | 59 | |
| 8 | 2015 | 57 | |
| 9 | 2014 | 52 | |
| 10 | 2008 | 50 | |
| 11 | 2020 | 49 | |
| 12 | 2007 | 49 | |
| 13 | 2014 | 40 | |
| 14 | 2012 | 39 | |
| 15 | 2012 | 39 | |
| 16 | 2010 | 39 | |
| 17 | 2016 | 39 | |
| 18 | 2017 | 39 | |
| 19 | 2014 | 37 | |
| 20 | 2012 | 34 |
About Alba Espargaró
Alba Espargaró is a scholar working on Physiology, Molecular Biology, Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (42 papers), Cholinesterase and Neurodegenerative Diseases (24 papers), Computational Drug Discovery Methods (19 papers), Prion Diseases and Protein Misfolding (13 papers), Protein Structure and Dynamics (11 papers), Trace Elements in Health (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Physiology (693 citations), Pharmacology (452 citations), Computational Theory and Mathematics (401 citations), Biological Psychiatry (38 citations) and Molecular Biology (878 citations). Alba Espargaró has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Raimon Sabaté, Salvador Ventura, Francesc Avilés, Montse Morell, Diego Muñoz‐Torrero, F. Javier Luque, Natalia Sánchez de Groot, Joan Estelrich, Maria Antònia Busquets and Xavier Fernàndez‐Busquets. Their work appears in journals such as Journal of Medicinal Chemistry, Biomacromolecules, Microbial Cell Factories, European Journal of Medicinal Chemistry and Bioorganic & 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.