Bram Cerulus

654 citations
7 papers · 421 · h-index 7

Impact in

    • Gene Regulatory Network Analysis
    • Microbial Metabolic Engineering and Bioproduction
    • Fungal and yeast genetics research
    • Single-cell and spatial transcriptomics
    • Bioinformatics and Genomic Networks
    • CRISPR and Genetic Engineering

Papers in

    • Gene Regulatory Network Analysis 5
    • Fungal and yeast genetics research 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Bioinformatics and Genomic Networks 2
    • Single-cell and spatial transcriptomics 2
    • CRISPR and Genetic Engineering 1
    • Evolution and Genetic Dynamics 4
    • Bacterial Genetics and Biotechnology 1

Bram Cerulus

7 papers receiving 418 citations

Peers

Bram Cerulus
Comparison fields: 5 of 68
  • Molecular Biology 303
  • Aging 7
  • Genetics 103
  • Food Science 49
  • Biotechnology 18
Replace Tiago Pedreira with:
Tiago Pedreira Germany
Peter Rugbjerg Denmark
Nathan I Johns United States
Marcelo C. Bassalo United States
Adriana Espinosa‐Cantú Mexico
Eleonore Skärfstad Sweden
A. Zollner Germany
Maryam Javed Pakistan
Nils Christian Germany
Albert Serra‐Cardona United States
Bram Cerulus relative to Tiago Pedreira Germany Tiago Pedreira's profile →
Citations per field
00.5×1.5×2.4×
Tiago Pedreira · 1×
Citations per year

Countries citing papers authored by Bram Cerulus

Since Specialization
Citations

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

Fields of papers citing papers by Bram Cerulus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2014149
2 201965
3 201662
4 201851
5 202044
6 201840
7 201610

About Bram Cerulus

Bram Cerulus is a scholar working on Molecular Biology, Genetics, Food Science, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 421 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Evolution and Genetic Dynamics (4 papers), Fungal and yeast genetics research (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (2 papers), Bacterial Genetics and Biotechnology (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (303 citations), Aging (7 citations), Genetics (103 citations), Food Science (49 citations) and Biotechnology (18 citations). Bram Cerulus has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Kevin J. Verstrepen, Gemma Perez-Samper, Aaron M. New, Sander K. Govers, João B. Xavier, Bo Zhu, Ksenia Pougach, Brigida Gallone, Karin Voordeckers and Jan Steensels. Their work appears in journals such as eLife, PLoS Biology, mBio, Current Biology and Yeast.

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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