Bernd Klaus

2.5k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Bernd Klaus is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Bernd Klaus has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Genetics. Recurrent topics in Bernd Klaus's work include Gene expression and cancer classification (7 papers), RNA Research and Splicing (4 papers) and Genomics and Chromatin Dynamics (4 papers). Bernd Klaus is often cited by papers focused on Gene expression and cancer classification (7 papers), RNA Research and Splicing (4 papers) and Genomics and Chromatin Dynamics (4 papers). Bernd Klaus collaborates with scholars based in Germany, United States and United Kingdom. Bernd Klaus's co-authors include Wolfgang Huber, Judith B. Zaugg, Nikolaos Ignatiadis, Lars M. Steinmetz, Christophe D. Chabbert, Vicent Pelechano, E. Fritsch, Korbinian Strimmer, Andreas Beyer and Marie‐Therese Mackmull and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The EMBO Journal.

In The Last Decade

Bernd Klaus

19 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data-driven hypothesis weighting increases detection power in genome-scale multiple testing

2016 347 citations Nikolaos Ignatiadis, Bernd Klaus et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bernd Klaus Germany	12	735	143	109	84	81	21	1.1k
Sipko van Dam Netherlands	9	736 1.0×	119 0.8×	125 1.1×	119 1.4×	72 0.9×	17	1.0k
Yifei Liu China	17	1.1k 1.5×	145 1.0×	116 1.1×	31 0.4×	101 1.2×	51	1.4k
Fanny Perraudeau United States	6	618 0.8×	164 1.1×	45 0.4×	72 0.9×	61 0.8×	8	737
Robin Haw Canada	17	1.2k 1.6×	101 0.7×	111 1.0×	89 1.1×	73 0.9×	27	1.5k
Mike L. Smith United Kingdom	9	681 0.9×	155 1.1×	115 1.1×	37 0.4×	137 1.7×	19	982
Marc Sultan Germany	9	1.2k 1.7×	355 2.5×	169 1.6×	48 0.6×	84 1.0×	11	1.5k
Lei M. Li United States	14	699 1.0×	139 1.0×	578 5.3×	50 0.6×	35 0.4×	47	1.3k
Timothy Clough United States	7	639 0.9×	71 0.5×	49 0.4×	39 0.5×	60 0.7×	7	975
Bethan Yates United Kingdom	7	812 1.1×	233 1.6×	202 1.9×	36 0.4×	74 0.9×	7	1.1k

Countries citing papers authored by Bernd Klaus

Since Specialization

Citations

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

Fields of papers citing papers by Bernd Klaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Klaus

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Klaus. A scholar is included among the top collaborators of Bernd Klaus 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 Bernd Klaus. Bernd Klaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lu, Junyan, et al.. (2023). The changing career paths of PhDs and postdocs trained at EMBL. eLife. 12. 1 indexed citations

Zimoń, M., Yunfeng Huang, Aliaksandr Halavatyi, et al.. (2021). Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake. Nature Communications. 12(1). 6411–6411. 5 indexed citations

Klaus, Bernd. (2021). Effect Size Estimation and Misclassification Rate Based Variable Selection in Linear Discriminant Analysis. Journal of Data Science. 11(3). 537–558. 1 indexed citations

Ibarra, Ignacio L., et al.. (2020). Mechanistic insights into transcription factor cooperativity and its impact on protein-phenotype interactions. Nature Communications. 11(1). 124–124. 59 indexed citations

Schöndorf, David C., et al.. (2019). A post-translational modification signature defines changes in soluble tau correlating with oligomerization in early stage Alzheimer’s disease brain. Acta Neuropathologica Communications. 7(1). 192–192. 63 indexed citations

Pękowska, Aleksandra, Bernd Klaus, Nathalie Daigle, et al.. (2018). Gain of CTCF-Anchored Chromatin Loops Marks the Exit from Naive Pluripotency. Cell Systems. 7(5). 482–495.e10. 57 indexed citations

Zelezniak, Aleksej, Jakob Vowinckel, Floriana Capuano, et al.. (2018). Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts. Cell Systems. 7(3). 269–283.e6. 76 indexed citations

Zararsız, Gökmen, Dinçer Göksülük, Bernd Klaus, et al.. (2017). voomDDA: discovery of diagnostic biomarkers and classification of RNA-seq data. PeerJ. 5. e3890–e3890. 11 indexed citations

Mackmull, Marie‐Therese, Bernd Klaus, Ivonne Heinze, et al.. (2017). Landscape of nuclear transport receptor cargo specificity. Molecular Systems Biology. 13(12). 962–962. 81 indexed citations

10.

Havas, Kristina M., Vladislava Milchevskaya, Eleni Kafkia, et al.. (2017). Metabolic shifts in residual breast cancer drive tumor recurrence. Journal of Clinical Investigation. 127(6). 2091–2105. 119 indexed citations

11.

Chabbert, Christophe D., et al.. (2016). Landscape and Dynamics of Transcription Initiation in the Malaria Parasite Plasmodium falciparum. Cell Reports. 14(10). 2463–2475. 45 indexed citations

12.

Chabbert, Christophe D., Lars M. Steinmetz, & Bernd Klaus. (2016). DChIPRep , an R/Bioconductor package for differential enrichment analysis in chromatin studies. PeerJ. 4. e1981–e1981. 3 indexed citations

13.

Ignatiadis, Nikolaos, Bernd Klaus, Judith B. Zaugg, & Wolfgang Huber. (2016). Data-driven hypothesis weighting increases detection power in genome-scale multiple testing. Nature Methods. 13(7). 577–580. 347 indexed citations breakdown →

14.

Chabbert, Christophe D., Bernd Klaus, E. Fritsch, et al.. (2015). A high‐throughput C h IP ‐ S eq for large‐scale chromatin studies. Molecular Systems Biology. 11(1). 777–777. 21 indexed citations

15.

Klaus, Bernd. (2015). Statistical relevance—relevant statistics, part I. The EMBO Journal. 34(22). 2727–2730. 6 indexed citations

16.

Gupta, Ishaan, Sandra Clauder‐Münster, Bernd Klaus, et al.. (2014). Alternative polyadenylation diversifies post‐transcriptional regulation by selective RNA –protein interactions. Molecular Systems Biology. 10(2). 719–719. 73 indexed citations

17.

Fritsch, E., Christophe D. Chabbert, Bernd Klaus, & Lars M. Steinmetz. (2014). A Genome-Wide Map of Mitochondrial DNA Recombination in Yeast. Genetics. 198(2). 755–771. 62 indexed citations

18.

Klaus, Bernd, et al.. (2013). Experimentally induced hyperchloremic and dl-lactic acidosis in calves: An attempt to study the effects of oral rehydration on acid-base status. Journal of Dairy Science. 96(4). 2464–2475. 9 indexed citations

19.

Klaus, Bernd & Korbinian Strimmer. (2012). Signal identification for rare and weak features: higher criticism or false discovery rates?. Biostatistics. 14(1). 129–143. 20 indexed citations

20.

Klaus, Bernd & Korbinian Strimmer. (2011). Learning false discovery rates by fitting sigmoidal threshold functions. arXiv (Cornell University). 152(2). 39–50. 1 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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