Isabel Lastres‐Becker
- Cellular and Molecular Neuroscience top 0.5%
- Pharmacology top 0.2%
- Molecular Biology top 5%
- Neurology top 1%
- Neurology top 1%
- Co-authors
- Javier Fernández‐RuízAntonio CuadradoJ.A. RamosSebastian KüglerGeorg AuburgerAlberto RábanoNadia G. InnamoratoÁngel J. García‐Yagüe
- Topics
- Cannabis and Cannabinoid Research (23 papers)Genomics, phytochemicals, and oxidative stress (17 papers)Genetic Neurodegenerative Diseases (16 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SpainGermanyUnited States
In The Last Decade
Isabel Lastres‐Becker
61 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 2.0k
- Pharmacology 1.7k
- Molecular Biology 1.7k
- Neurology 773
- Neurology 570
Countries citing papers authored by Isabel Lastres‐Becker
This map shows the geographic impact of Isabel Lastres‐Becker'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 Isabel Lastres‐Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Lastres‐Becker more than expected).
Fields of papers citing papers by Isabel Lastres‐Becker
This network shows the impact of papers produced by Isabel Lastres‐Becker. 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 Isabel Lastres‐Becker. The network helps show where Isabel Lastres‐Becker may publish in the future.
Co-authorship network of co-authors of Isabel Lastres‐Becker
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Lastres‐Becker. A scholar is included among the top collaborators of Isabel Lastres‐Becker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Isabel Lastres‐Becker. Isabel Lastres‐Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 17 | |
| 4 | 22 | |
| 5 | 28 | |
| 6 | 15 | |
| 7 | 16 | |
| 8 | 54 | |
| 9 | 12 | |
| 10 | 227 | |
| 11 | 131 | |
| 12 | 111 | |
| 13 | 104 | |
| 14 | 323 | |
| 15 | 78 | |
| 16 | 48 | |
| 17 | 52 | |
| 18 | 95 | |
| 19 | 22 | |
| 20 | 187 |
About Isabel Lastres‐Becker
Isabel Lastres‐Becker is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Pharmacology, having authored 63 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (23 papers), Genomics, phytochemicals, and oxidative stress (17 papers) and Genetic Neurodegenerative Diseases (16 papers). The work is most often cited by research in Biological Psychiatry (277 citations), Cellular and Molecular Neuroscience (2.0k citations) and Pharmacology (1.7k citations). Isabel Lastres‐Becker has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Javier Fernández‐Ruíz, Antonio Cuadrado, J.A. Ramos, Sebastian Kügler, Georg Auburger, Alberto Rábano, Nadia G. Innamorato, Ángel J. García‐Yagüe, Raphael Mechoulam and Rosario de Miguel. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.