Sergio Picart‐Armada

433 total citations
15 papers, 277 citations indexed

About

Sergio Picart‐Armada is a scholar working on Molecular Biology, Pollution and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sergio Picart‐Armada has authored 15 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Pollution and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sergio Picart‐Armada's work include Bioinformatics and Genomic Networks (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Gene expression and cancer classification (4 papers). Sergio Picart‐Armada is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Gene expression and cancer classification (4 papers). Sergio Picart‐Armada collaborates with scholars based in Spain, Germany and United Kingdom. Sergio Picart‐Armada's co-authors include Alexandre Perera-Lluna, Francesc Fernández-Albert, Óscar Yanes, María Vinaixa, Wesley K. Thompson, Alex Gutteridge, David Willé, Alfonso Buil, Benoît H. Dessailly and Ailette Prieto and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Sergio Picart‐Armada

15 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Picart‐Armada Spain 8 164 39 24 20 20 15 277
Nil Turan United Kingdom 12 207 1.3× 42 1.1× 18 0.8× 13 0.7× 19 0.9× 20 450
Giada Carta Netherlands 10 166 1.0× 17 0.4× 23 1.0× 11 0.6× 28 1.4× 17 312
Seda Arat United States 9 155 0.9× 10 0.3× 52 2.2× 17 0.8× 10 0.5× 11 302
Jun Bai China 13 174 1.1× 59 1.5× 12 0.5× 26 1.3× 29 1.4× 26 361
Jana Schor Germany 8 180 1.1× 6 0.2× 21 0.9× 10 0.5× 16 0.8× 16 302
L. A. Higgins United States 10 127 0.8× 24 0.6× 30 1.3× 7 0.3× 13 0.7× 13 439
C. H. Turner United States 7 146 0.9× 49 1.3× 4 0.2× 11 0.6× 8 0.4× 10 252
Yilu Su China 6 261 1.6× 14 0.4× 46 1.9× 45 2.3× 6 0.3× 7 453
Bas ter Braak Netherlands 11 159 1.0× 13 0.3× 14 0.6× 4 0.2× 15 0.8× 22 303
Rosanna Rinaldi Italy 11 201 1.2× 30 0.8× 4 0.2× 6 0.3× 23 1.1× 16 423

Countries citing papers authored by Sergio Picart‐Armada

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Picart‐Armada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Picart‐Armada. 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 Sergio Picart‐Armada. The network helps show where Sergio Picart‐Armada may publish in the future.

Co-authorship network of co-authors of Sergio Picart‐Armada

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

All Works

15 of 15 papers shown
1.
Picart‐Armada, Sergio, et al.. (2023). Sub-Visible Particle Classification and Label Consistency Analysis for Flow-Imaging Microscopy Via Machine Learning Methods. Journal of Pharmaceutical Sciences. 113(4). 880–890. 3 indexed citations
2.
Klee, Stephan, Sergio Picart‐Armada, Gerald Birk, et al.. (2023). Transcriptomic and proteomic profiling of young and old mice in the bleomycin model reveals high similarity. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(3). L245–L258. 5 indexed citations
3.
Alanis‐Lobato, Gregorio, et al.. (2022). Knowledge Graphs for Indication Expansion: An Explainable Target-Disease Prediction Method. Frontiers in Genetics. 13. 814093–814093. 4 indexed citations
4.
Picart‐Armada, Sergio, et al.. (2021). mWISE: An Algorithm for Context-Based Annotation of Liquid Chromatography–Mass Spectrometry Features through Diffusion in Graphs. Analytical Chemistry. 93(31). 10772–10778. 5 indexed citations
5.
Picart‐Armada, Sergio, Stephan Klee, Tom Bretschneider, et al.. (2021). Mapping the metabolomic and lipidomic changes in the bleomycin model of pulmonary fibrosis in young and aged mice. Disease Models & Mechanisms. 15(1). 27 indexed citations
6.
Picart‐Armada, Sergio, et al.. (2021). Balancing Data on Deep Learning-Based Proteochemometric Activity Classification. Journal of Chemical Information and Modeling. 61(4). 1657–1669. 8 indexed citations
7.
8.
Picart‐Armada, Sergio, Wesley K. Thompson, Alfonso Buil, & Alexandre Perera-Lluna. (2020). The effect of statistical normalization on network propagation scores. Bioinformatics. 37(6). 845–852. 2 indexed citations
9.
Mubeen, Sarah, et al.. (2020). MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms. Bioinformatics. 37(1). 137–139. 3 indexed citations
10.
Picart‐Armada, Sergio, et al.. (2019). Benchmarking network propagation methods for disease gene identification. PLoS Computational Biology. 15(9). e1007276–e1007276. 34 indexed citations
11.
Ziarrusta, Haizea, Anton Ribbenstedt, Leire Mijangos, et al.. (2019). Amitriptyline at an Environmentally Relevant Concentration Alters the Profile of Metabolites Beyond Monoamines in Gilt-Head Bream. Environmental Toxicology and Chemistry. 38(5). 965–977. 12 indexed citations
12.
Picart‐Armada, Sergio, Francesc Fernández-Albert, María Vinaixa, Óscar Yanes, & Alexandre Perera-Lluna. (2018). FELLA: an R package to enrich metabolomics data. BMC Bioinformatics. 19(1). 538–538. 82 indexed citations
13.
Ziarrusta, Haizea, Leire Mijangos, Sergio Picart‐Armada, et al.. (2018). Non-targeted metabolomics reveals alterations in liver and plasma of gilt-head bream exposed to oxybenzone. Chemosphere. 211. 624–631. 38 indexed citations
14.
Picart‐Armada, Sergio, Francesc Fernández-Albert, María Vinaixa, et al.. (2017). Null diffusion-based enrichment for metabolomics data. PLoS ONE. 12(12). e0189012–e0189012. 30 indexed citations
15.
Picart‐Armada, Sergio, Wesley K. Thompson, Alfonso Buil, & Alexandre Perera-Lluna. (2017). diffuStats: an R package to compute diffusion-based scores on biological networks. Bioinformatics. 34(3). 533–534. 23 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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