Alberto Canfrán‐Duque
- Molecular Biology top 10%
- Cancer Research top 2%
- Surgery top 10%
- Immunology top 10%
- Epidemiology
- Co-authors
- Carlos Fernández‐HernandoYajaira SuárezNoemí RotllánLeigh GoedekeMiguel A. LasunciónElisa AraldiRebeca BustoCristina M. Ramírez
- Topics
- MicroRNA in disease regulation (13 papers)Cholesterol and Lipid Metabolism (12 papers)Cancer-related molecular mechanisms research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Alberto Canfrán‐Duque
33 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.0k
- Cancer Research 783
- Surgery 408
- Immunology 299
- Epidemiology 194
Countries citing papers authored by Alberto Canfrán‐Duque
This map shows the geographic impact of Alberto Canfrán‐Duque'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 Alberto Canfrán‐Duque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Canfrán‐Duque more than expected).
Fields of papers citing papers by Alberto Canfrán‐Duque
This network shows the impact of papers produced by Alberto Canfrán‐Duque. 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 Alberto Canfrán‐Duque. The network helps show where Alberto Canfrán‐Duque may publish in the future.
Co-authorship network of co-authors of Alberto Canfrán‐Duque
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Canfrán‐Duque. A scholar is included among the top collaborators of Alberto Canfrán‐Duque 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 Alberto Canfrán‐Duque. Alberto Canfrán‐Duque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 75 | |
| 5 | 36 | |
| 6 | 9 | |
| 7 | 20 | |
| 8 | 16 | |
| 9 | 85 | |
| 10 | 90 | |
| 11 | 41 | |
| 12 | 103 | |
| 13 | 76 | |
| 14 | 154 | |
| 15 | 211 | |
| 16 | 46 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 9 | |
| 20 | 42 |
About Alberto Canfrán‐Duque
Alberto Canfrán‐Duque is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cholesterol and Lipid Metabolism (12 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (783 citations), Molecular Biology (1.0k citations) and Immunology (299 citations). Alberto Canfrán‐Duque has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Carlos Fernández‐Hernando, Yajaira Suárez, Noemí Rotllán, Leigh Goedeke, Miguel A. Lasunción, Elisa Araldi, Rebeca Busto, Cristina M. Ramírez, Xinbo Zhang and Nathan L. Price. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.