J Brandsma

2.8k citations
9 papers · 341 · h-index 8

Impact in

    • Genomics and Chromatin Dynamics
    • Prion Diseases and Protein Misfolding
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 2
    • Prion Diseases and Protein Misfolding 2
    • CRISPR and Genetic Engineering 2
    • RNA Research and Splicing 2

J Brandsma

9 papers receiving 334 citations

Peers

J Brandsma
Comparison fields: 5 of 55
  • Molecular Biology 247
  • Hepatology 21
  • Genetics 77
  • Nutrition and Dietetics 31
  • Neurology 15
Replace Sundaresan Tharun with:
Sundaresan Tharun United States
Romina Bester Germany
N. Strunnikova United States
Stéphanie Lebreton France
Yixi Zhang China
Luke A. Perera United Kingdom
Quansheng Yang United States
Nai-Yun Hsu United States
Kai Yasukawa Japan
Alicia Otero Spain
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Citations per field
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Citations per year

Countries citing papers authored by J Brandsma

Since Specialization
Citations

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

Fields of papers citing papers by J Brandsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201570
2 201960
3 201653
4 200351
5 201746
6 200529
7 201720
8 201711
9
Benchmarking European permanent grassland production and utilization at national and regional levels.
20151

About J Brandsma

J Brandsma is a scholar working on Molecular Biology, Plant Science, Genetics, Hepatology and Materials Chemistry, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Prion Diseases and Protein Misfolding (2 papers), Metallurgy and Material Science (2 papers), Hepatitis C virus research (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (247 citations), Hepatology (21 citations), Genetics (77 citations), Nutrition and Dietetics (31 citations) and Neurology (15 citations). J Brandsma has collaborated with scholars based in Netherlands, Indonesia and Belgium. Frequent co-authors include Luc Janss, Raymond A. Poot, Dick H. W. Dekkers, Jeroen Demmers, Wilfred F. J. van IJcken, Christel Kockx, Martí Quevedo, Zeliha Özgür, Debbie L. C. van den Berg and Erik Engelen. Their work appears in journals such as Nature Communications, Translational Psychiatry, Antiviral Research, Scientific Reports and Livestock Production Science.

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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