Daniel Ríos
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 6
- Machine Learning in Bioinformatics 3
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Yuan Chen (3 shared papers)Paul Flicek (3 shared papers)William McLaren (3 shared papers)Fiona Cunningham (3 shared papers)Bethan Pritchard (2 shared papers)Juan Antonio Vizcaíno (5 shared papers)Henning Hermjakob (4 shared papers)Attila Csordás (3 shared papers)
- Journals
- PROTEOMICS (3 papers)BMC Genomics (1 paper)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesParaguay
In The Last Decade
Daniel Ríos
13 papers receiving 2.9k citations
Daniel Ríos's Hit Papers
Peers
Comparison fields: 5 of 137
- Spectroscopy 453
- Molecular Biology 1.8k
- Genetics 704
- Cancer Research 313
- Cell Biology 172
Countries citing papers authored by Daniel Ríos
This map shows the geographic impact of Daniel Ríos'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 Daniel Ríos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ríos more than expected).
Fields of papers citing papers by Daniel Ríos
This network shows the impact of papers produced by Daniel Ríos. 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 Daniel Ríos. The network helps show where Daniel Ríos may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ríos, 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 | The Proteomics Identifications (PRIDE) database and associated tools: status in 2013 Hit paper breakdown → | 2012 | 1638 |
| 2 | Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor Hit paper breakdown → | 2010 | 1076 |
| 3 | 2010 | 94 | |
| 4 | 2012 | 32 | |
| 5 | 2012 | 26 | |
| 6 | 2010 | 20 | |
| 7 | 2014 | 12 | |
| 8 | 2013 | 10 | |
| 9 | Using ontologies for modeling context-aware services platforms | 2003 | 6 |
| 10 | 2016 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 1999 | 0 |
About Daniel Ríos
Daniel Ríos is a scholar working on Molecular Biology, Spectroscopy, Genetics, Control and Systems Engineering and Information Systems, having authored 14 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Machine Learning in Bioinformatics (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Genomics and Rare Diseases (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cell Image Analysis Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Spectroscopy (453 citations), Molecular Biology (1.8k citations), Genetics (704 citations), Cancer Research (313 citations) and Cell Biology (172 citations). Daniel Ríos has collaborated with scholars based in United Kingdom, United States and Paraguay. Frequent co-authors include Yuan Chen, Paul Flicek, William McLaren, Fiona Cunningham, Bethan Pritchard, Juan Antonio Vizcaíno, Henning Hermjakob, Attila Csordás, Florian Reisinger and David Ovelleiro. Their work appears in journals such as PROTEOMICS, BMC Genomics, BMC Bioinformatics, Bioinformatics and Nucleic Acids 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.