J Brandsma

2.7k total citations
9 papers, 335 citations indexed

About

J Brandsma is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, J Brandsma has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Genetics. Recurrent topics in J Brandsma's work include Genomics and Chromatin Dynamics (3 papers), Prion Diseases and Protein Misfolding (2 papers) and CRISPR and Genetic Engineering (2 papers). J Brandsma is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Prion Diseases and Protein Misfolding (2 papers) and CRISPR and Genetic Engineering (2 papers). J Brandsma collaborates with scholars based in Netherlands, Indonesia and United Kingdom. J Brandsma's co-authors include Luc Janss, Raymond A. Poot, Dick H. W. Dekkers, Wilfred F. J. van IJcken, Jeroen Demmers, Debbie L. C. van den Berg, Christel Kockx, Zeliha Özgür, Erik Engelen and Maarten Fornerod and has published in prestigious journals such as Nature Communications, Scientific Reports and Antiviral Research.

In The Last Decade

J Brandsma

9 papers receiving 328 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J Brandsma Netherlands	8	252	83	40	33	27	9	335
Nathan D. Elrod United States	12	635 2.5×	52 0.6×	15 0.4×	6 0.2×	39 1.4×	22	738
Lucía Quintana‐Gallardo Spain	5	265 1.1×	67 0.8×	19 0.5×	6 0.2×	60 2.2×	7	372
Nai-Yun Hsu United States	5	164 0.7×	51 0.6×	7 0.2×	8 0.2×	39 1.4×	5	266
Stine A. Mikkelsen Denmark	8	309 1.2×	25 0.3×	10 0.3×	6 0.2×	48 1.8×	9	409
Wangfei Wang United States	5	140 0.6×	20 0.2×	10 0.3×	10 0.3×	31 1.1×	10	282
Quansheng Yang United States	11	785 3.1×	45 0.5×	11 0.3×	3 0.1×	26 1.0×	15	829
Mario Renda Italy	11	299 1.2×	80 1.0×	16 0.4×	22 0.7×	27 1.0×	15	444
Agnès Bourillon France	11	222 0.9×	75 0.9×	5 0.1×	17 0.5×	43 1.6×	13	357
Kaustuv Datta United States	9	359 1.4×	157 1.9×	21 0.5×	3 0.1×	24 0.9×	11	446
Kimberly Tipton United States	5	292 1.2×	33 0.4×	84 2.1×	32 1.0×	31 1.1×	9	350

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-authorship network of co-authors of J Brandsma

This figure shows the co-authorship network connecting the top 25 collaborators of J Brandsma. A scholar is included among the top collaborators of J Brandsma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Brandsma. J Brandsma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Dekkers, Dick H. W., J Brandsma, Debbie L. C. van den Berg, et al.. (2019). Mediator complex interaction partners organize the transcriptional network that defines neural stem cells. Nature Communications. 10(1). 2669–2669. 59 indexed citations

2.

Loda, Agnese, J Brandsma, Nicolas Servant, et al.. (2017). Genetic and epigenetic features direct differential efficiency of Xist-mediated silencing at X-chromosomal and autosomal locations. Nature Communications. 8(1). 690–690. 45 indexed citations

3.

Wang, Wenshi, Yijin Wang, Yannick Debing, et al.. (2017). Biological or pharmacological activation of protein kinase C alpha constrains hepatitis E virus replication. Antiviral Research. 140. 1–12. 11 indexed citations

4.

Adams, Hieab H.H., J Brandsma, Dick H. W. Dekkers, et al.. (2017). An interaction network of mental disorder proteins in neural stem cells. Translational Psychiatry. 7(4). e1082–e1082. 19 indexed citations

5.

Wang, Wenshi, Lei Xu, J Brandsma, et al.. (2016). Convergent Transcription of Interferon-stimulated Genes by TNF-α and IFN-α Augments Antiviral Activity against HCV and HEV. Scientific Reports. 6(1). 25482–25482. 50 indexed citations

6.

O’Donovan, Michael, et al.. (2015). Benchmarking European permanent grassland production and utilization at national and regional levels.. 283–285. 1 indexed citations

7.

Engelen, Erik, J Brandsma, Dick H. W. Dekkers, et al.. (2015). Proteins that bind regulatory regions identified by histone modification chromatin immunoprecipitations and mass spectrometry. Nature Communications. 6(1). 7155–7155. 70 indexed citations

8.

Brandsma, J, et al.. (2005). Association between PrP genotypes and performance traits in an experimental Dutch Texel herd. Livestock Production Science. 95(1-2). 89–94. 29 indexed citations

9.

Brandsma, J, et al.. (2003). Association between PrP genotypes and littersize and 135 days weight in Texel sheep. Livestock Production Science. 85(1). 59–64. 51 indexed citations

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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