Pedro Seoane

947 total citations
34 papers, 468 citations indexed

About

Pedro Seoane is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Pedro Seoane has authored 34 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Pedro Seoane's work include Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (6 papers) and Genomics and Rare Diseases (4 papers). Pedro Seoane is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (6 papers) and Genomics and Rare Diseases (4 papers). Pedro Seoane collaborates with scholars based in Spain, United Kingdom and United States. Pedro Seoane's co-authors include M. Gonzalo Claros, Rocí­o Bautista, Juan A. G. Ranea, James R. Perkins, Darío Guerrero-Fernández, Noé Fernández‐Pozo, Eva Madrid, A. M. Torres, Rosario Carmona and Juan de Dios Alché Ramírez and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Pedro Seoane

33 papers receiving 462 citations

Peers

Pedro Seoane
Jianke Yang China
Xiaoqin Sun China
Carol Norris United States
Nadezda Kryuchkova-Mostacci Switzerland
Jan Pałyga Poland
Le Cheng China
Ya. E. Dunaevsky Russia
Amanda Cottage United Kingdom
Ying Ge China
Yanming Di United States
Jianke Yang China
Pedro Seoane
Citations per year, relative to Pedro Seoane Pedro Seoane (= 1×) peers Jianke Yang

Countries citing papers authored by Pedro Seoane

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Seoane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Seoane

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

All Works

20 of 20 papers shown
1.
2.
Tous, Cristina, Pedro Seoane, Raquel M. Fernández, et al.. (2024). Bioinformatics Prediction for Network-Based Integrative Multi-Omics Expression Data Analysis in Hirschsprung Disease. Biomolecules. 14(2). 164–164. 2 indexed citations
3.
Perkins, James R., Mireia Moreno‐Estellés, Fernando Bonet, et al.. (2024). Exploring miRNA–target gene pair detection in disease with coRmiT. Briefings in Bioinformatics. 25(2). 1 indexed citations
4.
Serrano, Mercedes, Alejandra Gámez, Pedro Seoane, et al.. (2024). Transcriptomic analysis identifies dysregulated pathways and therapeutic targets in PMM2-CDG. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167163–167163. 3 indexed citations
5.
Seoane, Pedro, et al.. (2023). Integrating differential expression, co-expression and gene network analysis for the identification of common genes associated with tumor angiogenesis deregulation. Journal of Biomedical Informatics. 144. 104421–104421. 2 indexed citations
6.
Corpas, Manuel, Carmen de Mendoza, Víctor Moreno‐Torres, et al.. (2023). Genetic signature detected in T cell receptors from patients with severe COVID-19. iScience. 26(10). 107735–107735. 3 indexed citations
7.
Bautista, Rocí­o, Pedro Seoane, María Ángeles Esteban, et al.. (2023). SpPdp11 Administration in Diet Modified the Transcriptomic Response and Its Microbiota Associated in Mechanically Induced Wound Sparus aurata Skin. Animals. 13(2). 193–193. 2 indexed citations
8.
Grande-Pérez, Ana, Consuelo Esteve, Pedro Seoane, et al.. (2022). Pathogenic strains of Shewanella putrefaciens contain plasmids that are absent in the probiotic strain Pdp11. PeerJ. 10. e14248–e14248. 2 indexed citations
9.
Perkins, James R., et al.. (2022). Assigning protein function from domain-function associations using DomFun. BMC Bioinformatics. 23(1). 43–43. 13 indexed citations
10.
Serrano, Mercedes, Juan A. G. Ranea, Pedro Seoane, et al.. (2022). Advancing in Schaaf-Yang syndrome pathophysiology: from bedside to subcellular analyses of truncated MAGEL2. Journal of Medical Genetics. 60(4). 406–415. 5 indexed citations
11.
Núñez, Rafael, Marí­a José Rodrí­guez, Francisca Palomares, et al.. (2022). Transcriptional changes in dendritic cells underlying allergen specific induced tolerance in a mouse model. Scientific Reports. 12(1). 2797–2797. 4 indexed citations
12.
Romá‐Mateo, Carlos, Pascual Sanz, Belén Pérez, et al.. (2021). Gene expression analysis method integration and co-expression module detection applied to rare glucide metabolism disorders using ExpHunterSuite. Scientific Reports. 11(1). 15062–15062. 14 indexed citations
13.
Serrano, Mercedes, et al.. (2021). Evaluating, Filtering and Clustering Genetic Disease Cohorts Based on Human Phenotype Ontology Data with Cohort Analyzer. Journal of Personalized Medicine. 11(8). 730–730. 3 indexed citations
14.
Seoane, Pedro, et al.. (2020). Phenotype-genotype comorbidity analysis of patients with rare disorders provides insight into their pathological and molecular bases. PLoS Genetics. 16(10). e1009054–e1009054. 13 indexed citations
15.
Seoane, Pedro, James R. Perkins, Adrián García-Moreno, et al.. (2020). Systematic identification of genetic systems associated with phenotypes in patients with rare genomic copy number variations. Human Genetics. 140(3). 457–475. 7 indexed citations
16.
Seoane, Pedro, et al.. (2020). An improved de novo assembling and polishing of Solea senegalensis transcriptome shed light on retinoic acid signalling in larvae. Scientific Reports. 10(1). 20654–20654. 9 indexed citations
17.
Seoane, Pedro, Silvana Tapia‐Paniagua, Rocí­o Bautista, et al.. (2019). TarSynFlow, a workflow for bacterial genome comparisons that revealed genes putatively involved in the probiotic character of Shewanella putrefaciens strain Pdp11. PeerJ. 7. e6526–e6526. 5 indexed citations
18.
Carmona, Rosario, Macarena Arroyo Varela, Pedro Seoane, et al.. (2017). Automated identification of reference genes based on RNA-seq data. BioMedical Engineering OnLine. 16(S1). 65–65. 21 indexed citations
19.
Seoane, Pedro, Rafael A. Cañas, Rocí­o Bautista, et al.. (2016). Establishing gene models from the Pinus pinaster genome using gene capture and BAC sequencing. BMC Genomics. 17(1). 148–148. 8 indexed citations
20.
Seoane, Pedro, Rocí­o Bautista, Carmen Palomino, et al.. (2015). Large-Scale Transcriptome Analysis in Faba Bean (Vicia faba L.) under Ascochyta fabae Infection. PLoS ONE. 10(8). e0135143–e0135143. 42 indexed citations

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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