Jon Pey

514 total citations
18 papers, 380 citations indexed

About

Jon Pey is a scholar working on Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Jon Pey has authored 18 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jon Pey's work include Microbial Metabolic Engineering and Bioproduction (17 papers), Bioinformatics and Genomic Networks (10 papers) and Gene Regulatory Network Analysis (6 papers). Jon Pey is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (17 papers), Bioinformatics and Genomic Networks (10 papers) and Gene Regulatory Network Analysis (6 papers). Jon Pey collaborates with scholars based in Spain, United Kingdom and Germany. Jon Pey's co-authors include Francisco J. Planes, Ángel Rubio, J. E. Beasley, Luis Tobalina, Joaquín M. Prada, Adam Podhorski, Stefan Schuster, Luís F. de Figueiredo, Matthias Brock and Christoph Wittmann and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Jon Pey

18 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Pey Spain	12	346	92	87	18	18	18	380
Pınar Kocabaş Türkiye	6	306 0.9×	51 0.6×	36 0.4×	6 0.3×	19 1.1×	9	361
Supreeta Vijayakumar United Kingdom	8	346 1.0×	100 1.1×	13 0.1×	16 0.9×	18 1.0×	10	411
Jörn Behre Germany	7	364 1.1×	91 1.0×	20 0.2×	16 0.9×	25 1.4×	8	403
Ettore Murabito United Kingdom	8	237 0.7×	57 0.6×	23 0.3×	14 0.8×	6 0.3×	10	281
Iñigo Apaolaza Spain	8	177 0.5×	22 0.2×	25 0.3×	9 0.5×	17 0.9×	13	229
Yusuke Matsui Japan	10	121 0.3×	23 0.3×	46 0.5×	4 0.2×	9 0.5×	40	268
Joanne M. Savinell United States	6	409 1.2×	114 1.2×	16 0.2×	37 2.1×	4 0.2×	7	438
Ibrahim E. Elsemman Egypt	6	314 0.9×	80 0.9×	10 0.1×	2 0.1×	6 0.3×	13	355
Jinli Lei China	6	188 0.5×	16 0.2×	63 0.7×	8 0.4×	2 0.1×	10	290
Georgios Fengos Switzerland	8	228 0.7×	66 0.7×	6 0.1×	16 0.9×	7 0.4×	13	254

Countries citing papers authored by Jon Pey

Since Specialization

Citations

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

Fields of papers citing papers by Jon Pey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Pey

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

All Works

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18 of 18 papers shown

Antoranz, Asier, et al.. (2022). ELIMINATOR: essentiality analysis using multisystem networks and integer programming. BMC Bioinformatics. 23(1). 324–324. 1 indexed citations

Pey, Jon, Edurne San José‐Eneriz, María C. Ochoa, et al.. (2017). In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer. Scientific Reports. 7(1). 14358–14358. 16 indexed citations

Tobalina, Luis, et al.. (2016). Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method. PLoS ONE. 11(5). e0154583–e0154583. 9 indexed citations

Tobalina, Luis, Jon Pey, & Francisco J. Planes. (2016). Direct calculation of minimal cut sets involving a specific reaction knock-out. Bioinformatics. 32(13). 2001–2007. 11 indexed citations

Tobalina, Luis, Rafael Bargiela, Jon Pey, et al.. (2015). Context-specific metabolic network reconstruction of a naphthalene-degrading bacterial community guided by metaproteomic data. Bioinformatics. 31(11). 1771–1779. 26 indexed citations

Pey, Jon, et al.. (2014). In-Silico Prediction of Key Metabolic Differences between Two Non-Small Cell Lung Cancer Subtypes. PLoS ONE. 9(8). e103998–e103998. 12 indexed citations

Pey, Jon, et al.. (2014). Advances in network-based metabolic pathway analysis and gene expression data integration. Briefings in Bioinformatics. 16(2). 265–279. 22 indexed citations

Pey, Jon & Francisco J. Planes. (2014). Direct calculation of elementary flux modes satisfying several biological constraints in genome-scale metabolic networks. Bioinformatics. 30(15). 2197–2203. 21 indexed citations

Pey, Jon, et al.. (2014). TreeEFM: calculating elementary flux modes using linear optimization in a tree-based algorithm. Bioinformatics. 31(6). 897–904. 12 indexed citations

10.

Pey, Jon, Luís F. de Figueiredo, Adam Podhorski, et al.. (2013). Selection of human tissue-specific elementary flux modes using gene expression data. Bioinformatics. 29(16). 2009–2016. 22 indexed citations

11.

Pey, Jon, Luis Tobalina, Joaquín M. Prada, & Francisco J. Planes. (2013). A network-based approach for predicting key enzymes explaining metabolite abundance alterations in a disease phenotype. BMC Systems Biology. 7(1). 62–62. 14 indexed citations

12.

Pey, Jon, Kaspar Valgepea, Ángel Rubio, J. E. Beasley, & Francisco J. Planes. (2013). Integrating gene and protein expression data with genome-scale metabolic networks to infer functional pathways. BMC Systems Biology. 7(1). 134–134. 6 indexed citations

13.

Pey, Jon, Francisco J. Planes, & J. E. Beasley. (2013). Refining carbon flux paths using atomic trace data. Bioinformatics. 30(7). 975–980. 18 indexed citations

14.

Pey, Jon, Ángel Rubio, Constantinos Theodoropoulos, Marta Cascante, & Francisco J. Planes. (2012). Integrating tracer-based metabolomics data and metabolic fluxes in a linear fashion via Elementary Carbon Modes. Metabolic Engineering. 14(4). 344–353. 9 indexed citations

15.

Pey, Jon, et al.. (2012). Joint analysis of miRNA and mRNA expression data. Briefings in Bioinformatics. 14(3). 263–278. 92 indexed citations

16.

Pey, Jon, et al.. (2011). Do elementary flux modes combine linearly at the “atomic” level? Integrating tracer-based metabolomics data and elementary flux modes. Biosystems. 105(2). 140–146. 5 indexed citations

17.

Pey, Jon, Joaquín M. Prada, J. E. Beasley, & Francisco J. Planes. (2011). Path finding methods accounting for stoichiometry in metabolic networks. Genome biology. 12(5). R49–R49. 39 indexed citations

18.

Figueiredo, Luís F. de, Matthias Brock, Jon Pey, et al.. (2010). Exploring metabolic pathways in genome-scale networks via generating flux modes. Bioinformatics. 27(4). 534–540. 45 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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