Jon Pey

518 citations
18 papers · 382 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Microbial Metabolic Engineering and Bioproduction
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis
    • Enzyme Catalysis and Immobilization
    • Metabolomics and Mass Spectrometry Studies

Papers in

    • Microbial Metabolic Engineering and Bioproduction 16
    • Bioinformatics and Genomic Networks 5
    • Metabolomics and Mass Spectrometry Studies 3
    • Enzyme Catalysis and Immobilization 2
    • Gene Regulatory Network Analysis 2
    • Polyamine Metabolism and Applications 1
    • Protein Structure and Dynamics 1
    • Computational Drug Discovery Methods 2

Jon Pey

18 papers receiving 380 citations

Peers

Jon Pey
Comparison fields: 5 of 55
  • Cancer Research 77
  • Molecular Biology 324
  • Biomedical Engineering 55
  • Computational Theory and Mathematics 15
  • Pharmacology 7
Replace Ryan O. Stephenson with:
Ryan O. Stephenson United States
Zi‐Jie Sun China
Jörn Behre Germany
Ibrahim E. Elsemman Egypt
Hongyu Cai China
Joanne M. Savinell United States
Xiangying Sun China
Laurie Scott Italy
Miranda D. Stobbe Netherlands
Jon Pey relative to Ryan O. Stephenson United States Ryan O. Stephenson's profile →
Citations per field
00.5×4.6×
Ryan O. Stephenson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jon Pey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Pey Line = papers co-authored together Jon Pey links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201292
2 201046
3 201139
4 201526
5 201322
6 201422
7 201421
8 201318
9 201717
10 201314
11 201412
12 201412
13 201611
14 20169
15 20129
16 20136
17 20115
18 20221

About Jon Pey

Jon Pey is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Cancer Research and Biomedical Engineering, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (16 papers), Bioinformatics and Genomic Networks (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Computational Drug Discovery Methods (2 papers), Enzyme Catalysis and Immobilization (2 papers), Gene Regulatory Network Analysis (2 papers), Polyamine Metabolism and Applications (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Cancer Research (77 citations), Molecular Biology (324 citations), Biomedical Engineering (55 citations), Computational Theory and Mathematics (15 citations) and Pharmacology (7 citations). Jon Pey has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Francisco J. Planes, Ángel Rubio, J. E. Beasley, Luis Tobalina, Joaquín M. Prada, Luís F. de Figueiredo, Adam Podhorski, Stefan Schuster, Matthias Brock and Alexander Bockmayr. Their work appears in journals such as Bioinformatics, BMC Systems Biology, Briefings in Bioinformatics, PLoS ONE and Genome biology.

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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