Rafael Garesse
- Molecular Biology top 5%
- Clinical Biochemistry top 0.5%
- Genetics top 5%
- Physiology top 10%
- Ecology top 10%
- Co-authors
- Carmen G. VallejoLaurie S. KaguniRoberto Di MarcoMiguel Ángel Fernández‐MorenoJosé Ramón ValverdeM. Esther GallardoBelén BornsteinYuichi Matsushima
- Topics
- Mitochondrial Function and Pathology (64 papers)ATP Synthase and ATPases Research (31 papers)Metabolism and Genetic Disorders (22 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Rafael Garesse
105 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.1k
- Clinical Biochemistry 543
- Genetics 407
- Physiology 273
- Ecology 241
Countries citing papers authored by Rafael Garesse
This map shows the geographic impact of Rafael Garesse'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 Rafael Garesse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Garesse more than expected).
Fields of papers citing papers by Rafael Garesse
This network shows the impact of papers produced by Rafael Garesse. 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 Rafael Garesse. The network helps show where Rafael Garesse may publish in the future.
Co-authorship network of co-authors of Rafael Garesse
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Garesse. A scholar is included among the top collaborators of Rafael Garesse 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 Rafael Garesse. Rafael Garesse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 23 | |
| 3 | Investigación en la universidad: contexto nacional e indicadores de calidad | 1 |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 42 | |
| 7 | 19 | |
| 8 | 48 | |
| 9 | 23 | |
| 10 | 26 | |
| 11 | Opa1 Mutations Induce Mitochondrial Dna Instability and Optic Atrophy Plus Phenotypes | 3 |
| 12 | 29 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 34 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | 58 | |
| 20 | 101 |
About Rafael Garesse
Rafael Garesse is a scholar working on Clinical Biochemistry, Aging and Molecular Biology, having authored 106 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (64 papers), ATP Synthase and ATPases Research (31 papers) and Metabolism and Genetic Disorders (22 papers). The work is most often cited by research in Clinical Biochemistry (543 citations), Aging (124 citations) and Molecular Biology (2.1k citations). Rafael Garesse has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Carmen G. Vallejo, Laurie S. Kaguni, Roberto Di Marco, Miguel Ángel Fernández‐Moreno, José Ramón Valverde, M. Esther Gallardo, Belén Bornstein, Yuichi Matsushima, Joaquı́n Arenas and Manuel Calleja. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.