Fernando Valiente‐Echeverría
- Molecular Biology top 10%
- Infectious Diseases top 5%
- Virology top 2%
- Immunology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Ricardo Soto‐RifoAndrew J. MoulandMarcela A. HermosoMarcelo López‐LastraValerie Le SageDaniela Toro‐AscuyJorge Vera‐OtarolaAracelly Gaete-Argel
- Topics
- RNA Research and Splicing (19 papers)SARS-CoV-2 and COVID-19 Research (14 papers)RNA modifications and cancer (12 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChileCanadaUnited States
In The Last Decade
Fernando Valiente‐Echeverría
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 710
- Infectious Diseases 447
- Virology 271
- Immunology 187
- Cardiology and Cardiovascular Medicine 176
Countries citing papers authored by Fernando Valiente‐Echeverría
This map shows the geographic impact of Fernando Valiente‐Echeverría'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 Fernando Valiente‐Echeverría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Valiente‐Echeverría more than expected).
Fields of papers citing papers by Fernando Valiente‐Echeverría
This network shows the impact of papers produced by Fernando Valiente‐Echeverría. 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 Fernando Valiente‐Echeverría. The network helps show where Fernando Valiente‐Echeverría may publish in the future.
Co-authorship network of co-authors of Fernando Valiente‐Echeverría
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Valiente‐Echeverría. A scholar is included among the top collaborators of Fernando Valiente‐Echeverría 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 Fernando Valiente‐Echeverría. Fernando Valiente‐Echeverría is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 38 | |
| 10 | 23 | |
| 11 | 25 | |
| 12 | 30 | |
| 13 | 36 | |
| 14 | 41 | |
| 15 | 17 | |
| 16 | 22 | |
| 17 | 33 | |
| 18 | 7 | |
| 19 | 28 | |
| 20 | 56 |
About Fernando Valiente‐Echeverría
Fernando Valiente‐Echeverría is a scholar working on Virology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (19 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Virology (271 citations), Infectious Diseases (447 citations) and Parasitology (95 citations). Fernando Valiente‐Echeverría has collaborated with scholars based in Chile, Canada and United States. Frequent co-authors include Ricardo Soto‐Rifo, Andrew J. Mouland, Marcela A. Hermoso, Marcelo López‐Lastra, Valerie Le Sage, Daniela Toro‐Ascuy, Jorge Vera‐Otarola, Aracelly Gaete-Argel, Katia Abarca and Javier López. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.