Arne Schillert

10.0k total citations
22 papers, 433 citations indexed

About

Arne Schillert is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Arne Schillert has authored 22 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Arne Schillert's work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Gene expression and cancer classification (6 papers). Arne Schillert is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Gene expression and cancer classification (6 papers). Arne Schillert collaborates with scholars based in Germany, France and United States. Arne Schillert's co-authors include Andreas Ziegler, Tanja Zeller, Renate B. Schnabel, Stefan Blankenberg, Norbert Pfeiffer, David‐Alexandre Trégouët, Heike Bickeböller, Christian Müller, Laurence Tiret and Paul Christian Baier and has published in prestigious journals such as PLoS ONE, American Journal Of Pathology and BMC Genomics.

In The Last Decade

Arne Schillert

22 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arne Schillert Germany 10 223 83 54 48 43 22 433
Dominique Leboeuf Canada 14 250 1.1× 48 0.6× 57 1.1× 33 0.7× 65 1.5× 23 498
Jindra Vrzalová Czechia 14 124 0.6× 27 0.3× 85 1.6× 32 0.7× 49 1.1× 33 471
Sara Samuel United States 9 186 0.8× 45 0.5× 53 1.0× 63 1.3× 107 2.5× 10 384
Sofía Gouveia Spain 11 152 0.7× 114 1.4× 38 0.7× 16 0.3× 18 0.4× 37 361
Alessandra Cianflone Italy 9 141 0.6× 37 0.4× 63 1.2× 37 0.8× 20 0.5× 14 465
Chelsea C. Estrada United States 10 189 0.8× 90 1.1× 21 0.4× 14 0.3× 52 1.2× 15 436
Stefan Holm Sweden 12 159 0.7× 29 0.3× 52 1.0× 26 0.5× 16 0.4× 21 460
Xiantao Sun China 13 258 1.2× 36 0.4× 162 3.0× 45 0.9× 38 0.9× 28 436
Linda Clarke Australia 9 281 1.3× 76 0.9× 36 0.7× 10 0.2× 79 1.8× 9 430

Countries citing papers authored by Arne Schillert

Since Specialization
Citations

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

Fields of papers citing papers by Arne Schillert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arne Schillert

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

All Works

20 of 20 papers shown
1.
Ojeda, Francisco, Christian Müller, Daniela Börnigen, et al.. (2016). Comparison of Cox Model Methods in a Low-Dimensional Setting with Few Events. Genomics Proteomics & Bioinformatics. 14(4). 235–243. 16 indexed citations
2.
Müller, Christian, Arne Schillert, Caroline Röthemeier, et al.. (2016). Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data. PLoS ONE. 11(6). e0156594–e0156594. 92 indexed citations
3.
Schillert, Arne & Stefan Konigorski. (2016). Joint analysis of multiple phenotypes: summary of results and discussions from the Genetic Analysis Workshop 19. BMC Genetics. 17(S2). 7–7. 5 indexed citations
4.
Rausch, Tanja K., et al.. (2016). Comparison of pre-processing methods for multiplex bead-based immunoassays. BMC Genomics. 17(1). 601–601. 15 indexed citations
5.
Engelman, Corinne D., Celia M.T. Greenwood, Julia N. Bailey, et al.. (2016). Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals. BMC Proceedings. 10(S7). 67–70. 5 indexed citations
6.
Teumer, Alexander, Claudia Schurmann, Arne Schillert, et al.. (2015). Analyzing Illumina Gene Expression Microarray Data Obtained From Human Whole Blood Cell and Blood Monocyte Samples. Methods in molecular biology. 1368. 85–97. 2 indexed citations
7.
8.
Möller, Steffen, Arne Schillert, Andreas Ziegler, et al.. (2014). Nerve Conduction Velocity Is Regulated by the Inositol Polyphosphate-4-Phosphatase II Gene. American Journal Of Pathology. 184(9). 2420–2429. 5 indexed citations
9.
Zeller, Tanja, Maria Hughes, Arne Schillert, et al.. (2014). BiomarCaRE: rationale and design of the European BiomarCaRE project including 300,000 participants from 13 European countries. European Journal of Epidemiology. 29(10). 777–790. 59 indexed citations
10.
Gebauer, Niklas, Christoph Thorns, Veronica Bernard, et al.. (2014). MicroRNA Profiling of Low-Grade and Transformed Nodal Marginal Zone Lymphoma Reveals a Similar Signature Pattern Distinct from Diffuse Large B Cell Lymphoma. Acta Haematologica. 133(2). 214–220. 4 indexed citations
11.
Schillert, Arne, et al.. (2014). A comparison of two collapsing methods in different approaches. BMC Proceedings. 8(S1). S8–S8. 2 indexed citations
12.
Gebauer, Niklas, et al.. (2014). MicroRNA-150 Is up-regulated in extranodal marginal zone lymphoma of MALT type.. PubMed. 11(1). 51–6. 13 indexed citations
13.
Hoehn, René, Tanja Zeller, Virginie J. M. Verhoeven, et al.. (2012). Population-based meta-analysis in Caucasians confirms association with COL5A1 and ZNF469 but not COL8A2 with central corneal thickness. Human Genetics. 131(11). 1783–1793. 45 indexed citations
14.
Greliche, Nicolas, Tanja Zeller, Philipp S. Wild, et al.. (2012). Comprehensive Exploration of the Effects of miRNA SNPs on Monocyte Gene Expression. PLoS ONE. 7(9). e45863–e45863. 9 indexed citations
15.
Castagné, Raphaële, Tanja Zeller, Maxime Rotival, et al.. (2011). Influence of sex and genetic variability on expression of X-linked genes in human monocytes. Genomics. 98(5). 320–326. 21 indexed citations
16.
Schillert, Arne, et al.. (2010). The longitudinal nonparametric test as a new tool to explore gene‐gene and gene‐time effects in cohorts. Genetic Epidemiology. 34(5). 469–478. 8 indexed citations
17.
Schillert, Arne, Dániel Schwarz, Maren Vens, et al.. (2009). ACPA: automated cluster plot analysis of genotype data. BMC Proceedings. 3(S7). S58–S58. 5 indexed citations
18.
Paterson, Andrew D., Daryl Waggott, Arne Schillert, et al.. (2009). Transmission-ratio distortion in the Framingham Heart Study. BMC Proceedings. 3(S7). S51–S51. 17 indexed citations
19.
Vens, Maren, Arne Schillert, Inke R. König, & Andreas Ziegler. (2009). Look who is calling: a comparison of genotype calling algorithms. BMC Proceedings. 3(S7). S59–S59. 3 indexed citations
20.
Dressel, Ralf, Tanja Kuhlmann, Leslie Elsner, et al.. (2008). The Tumorigenicity of Mouse Embryonic Stem Cells and In Vitro Differentiated Neuronal Cells Is Controlled by the Recipients' Immune Response. PLoS ONE. 3(7). e2622–e2622. 85 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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