Jonathan Mélius

1.5k citations
3 papers · 346 · h-index 3

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Microbial Metabolic Engineering and Bioproduction
    • Metabolomics and Mass Spectrometry Studies
    • Biomedical Text Mining and Ontologies

Papers in

    • Bioinformatics and Genomic Networks 2
    • Gene Regulatory Network Analysis 1
    • Histone Deacetylase Inhibitors Research 1
    • Catalytic C–H Functionalization Methods 1

Jonathan Mélius

3 papers receiving 341 citations

Peers

Jonathan Mélius
Comparison fields: 5 of 85
  • Cancer Research 44
  • Molecular Biology 212
  • Aging 3
  • Computational Theory and Mathematics 28
  • Genetics 34
Replace Yupeng Cun with:
Yupeng Cun China
R. Magesh India
Vineet Sangar United States
Karen Rothfels Canada
Francisco Salavert Spain
Frank Schacherer Germany
Hannah Wapenaar Netherlands
Lucía C. Leal-Esteban Switzerland
Marilena M. Bourdakou Cyprus
Roumyana Yordanova United States
Jonathan Mélius relative to Yupeng Cun China Yupeng Cun's profile →
Citations per field
00.5×4.5×
Yupeng Cun · 1×
Citations per year

Countries citing papers authored by Jonathan Mélius

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Mélius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jonathan Mélius, 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 Jonathan Mélius Line = papers co-authored together Jonathan Mélius links everyone, so they are left out of the graph.

All Works

About Jonathan Mélius

Jonathan Mélius is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Animal Science and Zoology and Computational Theory and Mathematics, having authored 3 papers that have together received 346 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (1 paper), Meat and Animal Product Quality (1 paper), Gene Regulatory Network Analysis (1 paper), Microbial Metabolism and Applications (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Catalytic C–H Functionalization Methods (1 paper). The work is most often cited by research in Cancer Research (44 citations), Molecular Biology (212 citations), Aging (3 citations), Computational Theory and Mathematics (28 citations) and Genetics (34 citations). Jonathan Mélius has collaborated with scholars based in Netherlands, Iran and United States. Frequent co-authors include Martina Kutmon, Chris T. Evelo, Susan L. Coort, Elisa Cirillo, Ryan A. Miller, Alexander R. Pico, Anwesha Bohler, Anders Riutta, Egon Willighagen and Nuno Nunes. Their work appears in journals such as Nucleic Acids Research, Frontiers in Genetics and Scientific Reports.

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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