Clara Torrellas
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
- Pharmacogenetics and Drug Metabolism
Papers in
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- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 3
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- Cholinesterase and Neurodegenerative Diseases 5
- Pharmacogenetics and Drug Metabolism 4
- Co-authors
- Ramón Cacabelos (14 shared papers)Juan C. Carril (4 shared papers)L. Fernández‐Novoa (3 shared papers)Pablo Cacabelos (4 shared papers)Francisco López‐Muñoz (3 shared papers)Iván Tellado (2 shared papers)Gjumrakch Aliev (2 shared papers)Iván Carrera (2 shared papers)
In The Last Decade
Clara Torrellas
17 papers receiving 526 citations
Peers
Comparison fields: 5 of 74
- Biological Psychiatry 39
- Pharmacology 81
- Pharmacology 125
- Geriatrics and Gerontology 21
- Physiology 135
Countries citing papers authored by Clara Torrellas
This map shows the geographic impact of Clara Torrellas'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 Clara Torrellas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Torrellas more than expected).
Fields of papers citing papers by Clara Torrellas
This network shows the impact of papers produced by Clara Torrellas. 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 Clara Torrellas. The network helps show where Clara Torrellas may publish in the future.
Co-authors
The 14 scholars most cited alongside Clara Torrellas, 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 | 2015 | 106 | |
| 2 | 2014 | 75 | |
| 3 | 2014 | 67 | |
| 4 | 2016 | 45 | |
| 5 | 2016 | 44 | |
| 6 | 2016 | 43 | |
| 7 | 2016 | 42 | |
| 8 | 2017 | 27 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 20 | |
| 11 | 2011 | 15 | |
| 12 | 2014 | 13 | |
| 13 | 2011 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2015 | 3 | |
| 17 | 2016 | 3 |
About Clara Torrellas
Clara Torrellas is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Pharmacology and Physiology, having authored 17 papers that have together received 550 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (4 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Tryptophan and brain disorders (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Biological Psychiatry (39 citations), Pharmacology (81 citations), Pharmacology (125 citations), Geriatrics and Gerontology (21 citations) and Physiology (135 citations). Clara Torrellas has collaborated with scholars based in Spain and Portugal. Frequent co-authors include Ramón Cacabelos, Juan C. Carril, L. Fernández‐Novoa, Pablo Cacabelos, Francisco López‐Muñoz, Iván Tellado, Gjumrakch Aliev, Iván Carrera, Óscar Teijido and Javier Martín‐Vallejo. Their work appears in journals such as Expert Opinion on Drug Discovery, Journal of Clinical and Experimental Neuropsychology, Pharmacogenomics, CNS & Neurological Disorders - Drug Targets and International Journal of Molecular Sciences.
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.