Miguel Carmona

2.9k total citations · 2 hit papers
7 papers, 539 citations indexed

About

Miguel Carmona is a scholar working on Molecular Biology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Miguel Carmona has authored 7 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Miguel Carmona's work include Bioinformatics and Genomic Networks (3 papers), Misinformation and Its Impacts (2 papers) and Computational Drug Discovery Methods (2 papers). Miguel Carmona is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Misinformation and Its Impacts (2 papers) and Computational Drug Discovery Methods (2 papers). Miguel Carmona collaborates with scholars based in United Kingdom, United States and Italy. Miguel Carmona's co-authors include Ian Dunham, Jeffrey C. Barrett, Luca Fumis, Gareth Peat, Alfredo Miranda, Eliseo Papa, Denise Carvalho‐Silva, Andrea Pierleoni, David G. Hulcoop and Michaela Spitzer and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Miguel Carmona

7 papers receiving 529 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Open Targets Platform: new developments and updates two years on

2018 284 citations Denise Carvalho‐Silva, Andrea Pierleoni et al. Nucleic Acids Research profile →
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci

2021 223 citations Edward Mountjoy, Ellen M. Schmidt et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Miguel Carmona United Kingdom	4	308	186	80	62	46	7	539
Luca Fumis United Kingdom	2	302 1.0×	184 1.0×	73 0.9×	62 1.0×	45 1.0×	4	507
Alfredo Miranda United Kingdom	2	302 1.0×	184 1.0×	73 0.9×	62 1.0×	45 1.0×	2	507
Gareth Peat United Kingdom	4	395 1.3×	196 1.1×	88 1.1×	80 1.3×	48 1.0×	4	627
Erin Oerton United Kingdom	7	314 1.0×	81 0.4×	114 1.4×	33 0.5×	43 0.9×	8	507
Adam Yao Taiwan	6	298 1.0×	157 0.8×	59 0.7×	24 0.4×	41 0.9×	8	543
Dylan M. Glubb Australia	17	307 1.0×	87 0.5×	66 0.8×	35 0.6×	61 1.3×	30	571
Sharon L. Freshour United States	2	339 1.1×	91 0.5×	73 0.9×	82 1.3×	47 1.0×	3	585
Jonathan J Song United States	2	336 1.1×	91 0.5×	73 0.9×	82 1.3×	47 1.0×	6	583
Nadia M. Penrod United States	9	323 1.0×	203 1.1×	65 0.8×	27 0.4×	32 0.7×	15	597
Sandesh Chopade United Kingdom	5	155 0.5×	158 0.8×	32 0.4×	42 0.7×	24 0.5×	10	416

Countries citing papers authored by Miguel Carmona

Since Specialization

Citations

This map shows the geographic impact of Miguel Carmona'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 Miguel Carmona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Carmona more than expected).

Fields of papers citing papers by Miguel Carmona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Carmona. 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 Miguel Carmona. The network helps show where Miguel Carmona may publish in the future.

Co-authorship network of co-authors of Miguel Carmona

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Tirunagari, Santosh, Shyamasree Saha, Aravind Venkatesan, et al.. (2025). Lit-OTAR framework for extracting biological evidences from literature. Bioinformatics. 41(4). 4 indexed citations

2.

Carmona, Miguel, et al.. (2024). Evaluation of three-year neurodevelopmental outcomes in infants prenatally exposed to substance use. Drug and Alcohol Dependence. 259. 111284–111284. 3 indexed citations

3.

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 →

4.

Shilts, Jarrod, Jeremy Schwartzentruber, James Hayhurst, et al.. (2021). A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance. eLife. 10. 21 indexed citations

5.

Carmona, Miguel, et al.. (2020). TecNM at MEX-A3T 2020: Fake News and Aggressiveness Analysis in Mexican Spanish.. 265–272. 3 indexed citations

6.

Carmona, Miguel, et al.. (2020). ITCG's Participation at MEX-A3T 2020: Aggressive Identification and Fake News Detection Based on Textual Features for Mexican Spanish.. 258–264. 1 indexed citations

7.

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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