Aitor Martinez
Impact in
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Epidemiology 11
- Autophagy in Disease and Therapy 10
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- Ubiquitin and proteasome pathways 7
- Mitochondrial Function and Pathology 3
- Co-authors
- Michael J. Clague (4 shared papers)Ugo Mayor (5 shared papers)Alexander J. Whitworth (5 shared papers)Álvaro Sánchez-Martínez (4 shared papers)Sylvie Urbé (3 shared papers)Juliette J. Lee (1 shared paper)Cristiane Benincá (1 shared paper)Jon D. Lane (1 shared paper)
- Journals
- Molecular Neurodegeneration (2 papers)EMBO Reports (2 papers)The Journal of Cell Biology (1 paper)Scientific Reports (1 paper)Cells (1 paper)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Aitor Martinez
13 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Epidemiology 415
- Neurology 174
- Molecular Biology 537
- Aging 13
- Cell Biology 102
Countries citing papers authored by Aitor Martinez
This map shows the geographic impact of Aitor Martinez'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 Aitor Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aitor Martinez more than expected).
Fields of papers citing papers by Aitor Martinez
This network shows the impact of papers produced by Aitor Martinez. 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 Aitor Martinez. The network helps show where Aitor Martinez may publish in the future.
Co-authors
The 25 scholars most cited alongside Aitor Martinez, 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 | Basal mitophagy is widespread in Drosophila but minimally affected by loss of Pink1 or parkin Hit paper breakdown → | 2018 | 250 |
| 2 | 2015 | 133 | |
| 3 | 2019 | 125 | |
| 4 | 2018 | 119 | |
| 5 | 2017 | 60 | |
| 6 | 2015 | 26 | |
| 7 | 2023 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2023 | 6 | |
| 11 | 2001 | 3 | |
| 12 | Manejo de las complicaciones postoperatorias en las derivaciones urinarias | 2013 | 2 |
| 13 | 2021 | 1 | |
| 14 | 2024 | 0 |
About Aitor Martinez
Aitor Martinez is a scholar working on Epidemiology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 766 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Ubiquitin and proteasome pathways (7 papers), Genetics and Neurodevelopmental Disorders (3 papers), Mitochondrial Function and Pathology (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Invertebrate Immune Response Mechanisms (1 paper), MicroRNA in disease regulation (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Epidemiology (415 citations), Neurology (174 citations), Molecular Biology (537 citations), Aging (13 citations) and Cell Biology (102 citations). Aitor Martinez has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Michael J. Clague, Ugo Mayor, Alexander J. Whitworth, Álvaro Sánchez-Martínez, Sylvie Urbé, Juliette J. Lee, Cristiane Benincá, Jon D. Lane, Jin Rui Liang and Esperanza González. Their work appears in journals such as Molecular Neurodegeneration, EMBO Reports, The Journal of Cell Biology, Scientific Reports and Cells.
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.