Harm Brugge

3.8k citations
5 papers · 364 · h-index 5

Impact in

    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Single-cell and spatial transcriptomics
    • Bioinformatics and Genomic Networks
    • Gene Regulatory Network Analysis
    • Gene expression and cancer classification
    • RNA modifications and cancer

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gene Regulatory Network Analysis 2
    • Gene expression and cancer classification 1
    • Bioinformatics and Genomic Networks 1
    • Antifungal resistance and susceptibility 1

Harm Brugge

5 papers receiving 363 citations

Peers

Harm Brugge
Comparison fields: 5 of 55
  • Genetics 105
  • Molecular Biology 249
  • Immunology 55
  • Cancer Research 33
  • Biophysics 8
Replace Dylan H. de Vries with:
Dylan H. de Vries Netherlands
Luciana Rodrigues Carvalho Barros Brazil
William D. Chronister United States
Nikolina Nakić United States
Jessica I. Beynor United States
Xiaoning Tang China
Nina Frey Switzerland
Christian Bressy France
Cecilia Domínguez Conde Austria
Sabari Vallath United Kingdom
Harm Brugge relative to Dylan H. de Vries Netherlands Dylan H. de Vries's profile →
Citations per field
00.5×1.5×
Dylan H. de Vries · 1×
Citations per year

Countries citing papers authored by Harm Brugge

Since Specialization
Citations

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

Fields of papers citing papers by Harm Brugge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Harm Brugge, 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 Harm Brugge Line = papers co-authored together Harm Brugge links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Harm Brugge

Harm Brugge is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Rheumatology and Immunology, having authored 5 papers that have together received 364 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (2 papers), Gene expression and cancer classification (1 paper), Antifungal resistance and susceptibility (1 paper), Immune Cell Function and Interaction (1 paper), Fungal Infections and Studies (1 paper), Bioinformatics and Genomic Networks (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Genetics (105 citations), Molecular Biology (249 citations), Immunology (55 citations), Cancer Research (33 citations) and Biophysics (8 citations). Harm Brugge has collaborated with scholars based in Netherlands, Romania and United States. Frequent co-authors include Lude Franke, Monique G.P. van der Wijst, Dylan H. de Vries, Patrick Deelen, Morris A. Swertz, Harm-Jan Westra, Martijn Vochteloo, Chun Ye, Roy Oelen and M. Grace Gordon. Their work appears in journals such as Nature Communications, Alimentary Pharmacology & Therapeutics, Nature Genetics, Genome Medicine and PLoS Pathogens.

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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