Moisés Garcı́a-Arencibia
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Pharmacology top 0.5%
- Cell Biology top 1%
- Physiology top 2%
- Co-authors
- David C. RubinszteinDiego L. MedinaPasqualina ColellaAndrea BallabioCarmine SettembreMarco SardielloSerkan ErdinFrancesco Vetrini
- Topics
- Cannabis and Cannabinoid Research (16 papers)Neuroscience and Neuropharmacology Research (10 papers)Parkinson's Disease Mechanisms and Treatments (9 papers)
- Cited by
- PhysiologyEpidemiologyAging
- Journals
- ScienceCellPhysiological Reviews
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Moisés Garcı́a-Arencibia
36 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Epidemiology 3.4k
- Molecular Biology 2.4k
- Pharmacology 1.3k
- Cell Biology 1.1k
- Physiology 1.0k
Countries citing papers authored by Moisés Garcı́a-Arencibia
This map shows the geographic impact of Moisés Garcı́a-Arencibia'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 Moisés Garcı́a-Arencibia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moisés Garcı́a-Arencibia more than expected).
Fields of papers citing papers by Moisés Garcı́a-Arencibia
This network shows the impact of papers produced by Moisés Garcı́a-Arencibia. 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 Moisés Garcı́a-Arencibia. The network helps show where Moisés Garcı́a-Arencibia may publish in the future.
Co-authorship network of co-authors of Moisés Garcı́a-Arencibia
This figure shows the co-authorship network connecting the top 25 collaborators of Moisés Garcı́a-Arencibia. A scholar is included among the top collaborators of Moisés Garcı́a-Arencibia 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 Moisés Garcı́a-Arencibia. Moisés Garcı́a-Arencibia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 55 | |
| 3 | 26 | |
| 4 | 18 | |
| 5 | 14 | |
| 6 | 88 | |
| 7 | 41 | |
| 8 | 43 | |
| 9 | TFEB Links Autophagy to Lysosomal Biogenesisbreakdown → | 2496 |
| 10 | 1 | |
| 11 | 326 | |
| 12 | 141 | |
| 13 | 134 | |
| 14 | 112 | |
| 15 | 1 | |
| 16 | 86 | |
| 17 | 74 | |
| 18 | 89 | |
| 19 | 18 | |
| 20 | 31 |
About Moisés Garcı́a-Arencibia
Moisés Garcı́a-Arencibia is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 36 papers that have together received 6.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). The work is most often cited by research in Physiology (707 citations), Epidemiology (3.4k citations) and Aging (159 citations). Moisés Garcı́a-Arencibia has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include David C. Rubinsztein, Diego L. Medina, Pasqualina Colella, Andrea Ballabio, Carmine Settembre, Marco Sardiello, Serkan Erdin, Francesco Vetrini, Vinicia Assunta Polito and Chiara Di Malta. Their work appears in journals such as Science, Cell and Physiological Reviews.
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.