Eric Martens

618 citations
3 papers · 511 indexed · h-index 3

Impact in

    • Cell Adhesion Molecules Research
    • TGF-β signaling in diseases
    • Cancer-related gene regulation
    • Kruppel-like factors research
    • Fungal and yeast genetics research
    • Connective Tissue Growth Factor Research

Papers in

    • Kruppel-like factors research 2
    • Cancer-related gene regulation 1
    • Metabolism, Diabetes, and Cancer 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • TGF-β signaling in diseases 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Fungal and yeast genetics research 1
    • Biofuel production and bioconversion 1

Eric Martens

3 papers receiving 503 citations

Peers

Eric Martens
Comparison fields: 5 of 57
  • Immunology and Allergy 43
  • Molecular Biology 452
  • Oncology 105
  • Pathology and Forensic Medicine 54
  • Cancer Research 35
Replace Debipriya Das with:
Debipriya Das United Kingdom
Marie-Thérèse Webster United Kingdom
Sara Droetto Italy
Bjoern Seidel Germany
Kazunobu Isogaya Japan
Helena Antoniadis Switzerland
V Ellenrieder Germany
Steffen M. Kurz Germany
Marilyn McLeod Canada
Priscilla Soulié Switzerland
Eric Martens relative to Debipriya Das United Kingdom Debipriya Das's profile →
Citations per field
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Debipriya Das · 1×
Citations per year

Countries citing papers authored by Eric Martens

Since Specialization
Citations

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

Fields of papers citing papers by Eric Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Eric Martens, 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 Eric Martens Line = papers co-authored together Eric Martens links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Eric Martens

Eric Martens is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 511 indexed citations. Recurring topics across this work include Kruppel-like factors research (2 papers), Cancer-related gene regulation (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), TGF-β signaling in diseases (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Biofuel production and bioconversion (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Immunology and Allergy (43 citations), Molecular Biology (452 citations), Oncology (105 citations), Pathology and Forensic Medicine (54 citations) and Cancer Research (35 citations). Eric Martens has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kunxin Luo, Shannon L. Stroschein, Weiru Wang, David Y. Chen, S. Zhou, Qiang Zhou, William A. Müller and Hans‐Joachim Schüller. Their work appears in journals such as Genes & Development, Microcirculation and Nucleic Acids Research.

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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