Anthony Liekens

879 citations
10 papers · 554 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities

Papers in

    • Gene Regulatory Network Analysis 4
    • Bioinformatics and Genomic Networks 3
    • Biomedical Text Mining and Ontologies 2
    • Evolution and Genetic Dynamics 3
    • Genomics and Rare Diseases 2

Anthony Liekens

10 papers receiving 526 citations

Peers

Anthony Liekens
Comparison fields: 5 of 99
  • Cancer Research 84
  • Genetics 135
  • Molecular Biology 331
  • Artificial Intelligence 83
  • Aging 4
Replace Johann de Jong with:
Johann de Jong Netherlands
Sachin Mathur United States
Marek Tutaj United States
Shirley Pepke United States
Mary Shimoyama United States
Andrée Delahaye‐Duriez France
Christian Piepenbrock Germany
Álvaro Mateos Spain
Sarah J. L. Graham United Kingdom
Anthony Liekens relative to Johann de Jong Netherlands Johann de Jong's profile →
Citations per field
00.5×1.6×
Johann de Jong · 1×
Citations per year

Countries citing papers authored by Anthony Liekens

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Liekens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anthony Liekens, 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 Anthony Liekens Line = papers co-authored together Anthony Liekens links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2011158
2 201195
3 200894
4 201483
5 200862
6 200835
7 201320
8 20103
9 20102
10 20042

About Anthony Liekens

Anthony Liekens is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Cancer Research and Biomedical Engineering, having authored 10 papers that have together received 554 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (3 papers), Evolution and Genetic Dynamics (3 papers), Biomedical Text Mining and Ontologies (2 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Cancer Research (84 citations), Genetics (135 citations), Molecular Biology (331 citations), Artificial Intelligence (83 citations) and Aging (4 citations). Anthony Liekens has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Walter Daelemans, Jurgen Del‐Favero, Peter De Rijk, Roser Morante, Bart Goethals, Chrisantha Fernando, Jonathan E. Rowe, Thorsten Lenser, Dov J. Stekel and Lewis Bingle. Their work appears in journals such as Molecular Psychiatry, Genome biology, Journal of The Royal Society Interface, Artificial Life and Mathematical Biosciences.

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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