Alfredo Miranda
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
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- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in
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- Computational Drug Discovery Methods 3
- Genetics 3
- Genomics and Rare Diseases 2
- Co-authors
- Jeffrey C. Barrett (2 shared papers)Luca Fumis (2 shared papers)Ian Dunham (2 shared papers)Eliseo Papa (2 shared papers)Miguel Carmona (2 shared papers)Gautier Koscielny (1 shared paper)Michaela Spitzer (1 shared paper)Adam S. Faulconbridge (1 shared paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Alfredo Miranda
6 papers receiving 1.6k citations
Alfredo Miranda's Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 495
- Molecular Biology 707
- Biological Psychiatry 23
- Computational Theory and Mathematics 163
- Immunology 150
Countries citing papers authored by Alfredo Miranda
This map shows the geographic impact of Alfredo Miranda'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 Alfredo Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo Miranda more than expected).
Fields of papers citing papers by Alfredo Miranda
This network shows the impact of papers produced by Alfredo Miranda. 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 Alfredo Miranda. The network helps show where Alfredo Miranda may publish in the future.
Co-authors
The 25 scholars most cited alongside Alfredo Miranda, 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 | Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics Hit paper breakdown → | 2020 | 386 |
| 2 | Open Targets Platform: new developments and updates two years on Hit paper breakdown → | 2018 | 335 |
| 3 | An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci Hit paper breakdown → | 2021 | 325 |
| 4 | 2020 | 303 | |
| 5 | The next-generation Open Targets Platform: reimagined, redesigned, rebuilt Hit paper breakdown → | 2022 | 221 |
| 6 | Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium. | 2015 | 31 |
About Alfredo Miranda
Alfredo Miranda is a scholar working on Computational Theory and Mathematics, Genetics, Biological Psychiatry, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Rare Diseases (2 papers), Tryptophan and brain disorders (1 paper), Protein Degradation and Inhibitors (1 paper), Gene expression and cancer classification (1 paper) and Health, Environment, Cognitive Aging (1 paper). The work is most often cited by research in Genetics (495 citations), Molecular Biology (707 citations), Biological Psychiatry (23 citations), Computational Theory and Mathematics (163 citations) and Immunology (150 citations). Alfredo Miranda has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jeffrey C. Barrett, Luca Fumis, Ian Dunham, Eliseo Papa, Miguel Carmona, Gautier Koscielny, Michaela Spitzer, Adam S. Faulconbridge, David G. Hulcoop and Chuang Kee Ong. Their work appears in journals such as Nucleic Acids Research and Nature Genetics.
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.