Suleva Povea-Cabello
- Neurology top 10%
- Neurological diseases and metabolism 10
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 7
- Biochemistry top 10%
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- Mitochondrial Function and Pathology 13
- Coenzyme Q10 studies and effects 6
- ATP Synthase and ATPases Research 6
- Porphyrin Metabolism and Disorders 5
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- Autophagy in Disease and Therapy 3
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- Advanced battery technologies research 3
- Co-authors
- Juan M. Suárez-RiveroMónica Álvarez-CórdobaIrene Villalón-GarcíaJosé A. Sánchez‐AlcázarMarta Talaverón-ReyManuel Munuera-CabezaAlejandra Suárez-CarrilloCarmen J. Pastor‐Maldonado
- Journals
- SHILAP Revista de lepidopterología (1 paper)International Journal of Molecular Sciences (5 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)
In The Last Decade
Suleva Povea-Cabello
29 papers receiving 703 citations
Peers
Comparison fields: 5 of 99
- Neurology 126
- Clinical Biochemistry 97
- Biochemistry 50
- Molecular Biology 470
- Geriatrics and Gerontology 23
Countries citing papers authored by Suleva Povea-Cabello
This map shows the geographic impact of Suleva Povea-Cabello'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 Suleva Povea-Cabello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suleva Povea-Cabello more than expected).
Fields of papers citing papers by Suleva Povea-Cabello
This network shows the impact of papers produced by Suleva Povea-Cabello. 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 Suleva Povea-Cabello. The network helps show where Suleva Povea-Cabello may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suleva Povea-Cabello, 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 | 2025 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 55 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 32 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 31 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 25 | |
| 18 | 2018 | 20 | |
| 19 | 2018 | 45 | |
| 20 | 2017 | 87 |
About Suleva Povea-Cabello
Suleva Povea-Cabello is a scholar working on Neurology, Clinical Biochemistry and Molecular Biology, having authored 29 papers that have together received 717 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (13 papers), Neurological diseases and metabolism (10 papers), Metabolism and Genetic Disorders (7 papers), Coenzyme Q10 studies and effects (6 papers), ATP Synthase and ATPases Research (6 papers), Porphyrin Metabolism and Disorders (5 papers), Autophagy in Disease and Therapy (3 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Neurology (126 citations), Clinical Biochemistry (97 citations) and Biochemistry (50 citations). Suleva Povea-Cabello has collaborated with scholars based in Spain, Italy and Germany. Frequent co-authors include Juan M. Suárez-Rivero, Mónica Álvarez-Córdoba, Irene Villalón-García, José A. Sánchez‐Alcázar, Marta Talaverón-Rey, Manuel Munuera-Cabeza, Alejandra Suárez-Carrillo, Carmen J. Pastor‐Maldonado, Marina Villanueva‐Paz and Mario de la Mata. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.
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.