Alfredo Miranda

2.8k total citations · 2 hit papers
2 papers, 507 citations indexed

About

Alfredo Miranda is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Alfredo Miranda has authored 2 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Computational Theory and Mathematics and 1 paper in Genetics. Recurrent topics in Alfredo Miranda's work include Bioinformatics and Genomic Networks (2 papers), Protein Degradation and Inhibitors (1 paper) and Genetic Associations and Epidemiology (1 paper). Alfredo Miranda is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Protein Degradation and Inhibitors (1 paper) and Genetic Associations and Epidemiology (1 paper). Alfredo Miranda collaborates with scholars based in United Kingdom and United States. Alfredo Miranda's co-authors include Ian Dunham, Jeffrey C. Barrett, Gareth Peat, Miguel Carmona, Luca Fumis, Eliseo Papa, Andrea Pierleoni, David G. Hulcoop, Gautier Koscielny and Denise Carvalho‐Silva and has published in prestigious journals such as Nucleic Acids Research and Nature Genetics.

In The Last Decade

Alfredo Miranda

2 papers receiving 499 citations

Hit Papers

Open Targets Platform: new developments and updates two y... 2018 2026 2020 2023 2018 2021 50 100 150 200 250

Peers

Alfredo Miranda
Luca Fumis United Kingdom
Miguel Carmona United Kingdom
Gareth Peat United Kingdom
Erin Oerton United Kingdom
Dylan M. Glubb Australia
Emily A. King United States
Sandesh Chopade United Kingdom
Sharon L. Freshour United States
Jonathan J Song United States
Luca Fumis United Kingdom
Alfredo Miranda
Citations per year, relative to Alfredo Miranda Alfredo Miranda (= 1×) peers Luca Fumis

Countries citing papers authored by Alfredo Miranda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Alfredo Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Miranda. A scholar is included among the top collaborators of Alfredo Miranda 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 Alfredo Miranda. Alfredo Miranda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Mountjoy, Edward, Ellen M. Schmidt, Miguel Carmona, et al.. (2021). An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci. Nature Genetics. 53(11). 1527–1533. 223 indexed citations breakdown →
2.
Carvalho‐Silva, Denise, Andrea Pierleoni, Miguel Pignatelli, et al.. (2018). Open Targets Platform: new developments and updates two years on. Nucleic Acids Research. 47(D1). D1056–D1065. 284 indexed citations breakdown →

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.

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