Esperanza Arias
- Epidemiology top 1%
- Molecular Biology top 5%
- Cell Biology top 1%
- Physiology top 5%
- Neurology top 2%
- Co-authors
- Ana María CuervoSusmita KaushikHiroshi KogaDavid SulzerMarta Martínez‐VicenteEsther WongAntonio G. Garcı́aManuela G. López
- Topics
- Autophagy in Disease and Therapy (19 papers)Endoplasmic Reticulum Stress and Disease (12 papers)Nicotinic Acetylcholine Receptors Study (7 papers)
- Cited by
- AgingEpidemiologyCell Biology
- Partner nations
- United StatesSpainJapan
In The Last Decade
Esperanza Arias
29 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Epidemiology 1.7k
- Molecular Biology 1.4k
- Cell Biology 791
- Physiology 740
- Neurology 596
Countries citing papers authored by Esperanza Arias
This map shows the geographic impact of Esperanza Arias'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 Esperanza Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esperanza Arias more than expected).
Fields of papers citing papers by Esperanza Arias
This network shows the impact of papers produced by Esperanza Arias. 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 Esperanza Arias. The network helps show where Esperanza Arias may publish in the future.
Co-authorship network of co-authors of Esperanza Arias
This figure shows the co-authorship network connecting the top 25 collaborators of Esperanza Arias. A scholar is included among the top collaborators of Esperanza Arias 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 Esperanza Arias. Esperanza Arias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 8 | |
| 3 | Autophagy and the hallmarks of agingbreakdown → | 184 |
| 4 | 22 | |
| 5 | 19 | |
| 6 | 54 | |
| 7 | 107 | |
| 8 | 31 | |
| 9 | 218 | |
| 10 | 129 | |
| 11 | 290 | |
| 12 | Cargo recognition failure is responsible for inefficient autophagy in Huntington's diseasebreakdown → | 681 |
| 13 | 236 | |
| 14 | 38 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 20 | |
| 18 | 148 | |
| 19 | 23 | |
| 20 | 127 |
About Esperanza Arias
Esperanza Arias is a scholar working on Geriatrics and Gerontology, Cell Biology and Epidemiology, having authored 29 papers that have together received 3.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (19 papers), Endoplasmic Reticulum Stress and Disease (12 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). The work is most often cited by research in Aging (92 citations), Epidemiology (1.7k citations) and Cell Biology (791 citations). Esperanza Arias has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Ana María Cuervo, Susmita Kaushik, Hiroshi Koga, David Sulzer, Marta Martínez‐Vicente, Esther Wong, Antonio G. Garcı́a, Manuela G. López, Inmaculada Tasset and Guomei Tang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.
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.