Dirk Repsilber

5.4k total citations
103 papers, 3.6k citations indexed

About

Dirk Repsilber is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Dirk Repsilber has authored 103 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 29 papers in Genetics and 16 papers in Epidemiology. Recurrent topics in Dirk Repsilber's work include Gene expression and cancer classification (18 papers), Gut microbiota and health (15 papers) and Bioinformatics and Genomic Networks (12 papers). Dirk Repsilber is often cited by papers focused on Gene expression and cancer classification (18 papers), Gut microbiota and health (15 papers) and Bioinformatics and Genomic Networks (12 papers). Dirk Repsilber collaborates with scholars based in Germany, Sweden and Spain. Dirk Repsilber's co-authors include Stefan H. E. Kaufmann, Robert J. Brummer, Marc Jacobsen, Joachim Selbig, Jeroen Maertzdorf, Gillian F. Black, Gerhard Walzl, Shreemanta K. Parida, Hans‐Joachim Mollenkopf and Nicolas Schauer and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Dirk Repsilber

95 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Repsilber Germany 31 1.7k 974 716 625 512 103 3.6k
Ramneek Gupta Denmark 24 4.7k 2.7× 493 0.5× 575 0.8× 795 1.3× 893 1.7× 62 7.1k
Guoqiang Zhu China 30 1.6k 0.9× 401 0.4× 372 0.5× 346 0.6× 464 0.9× 166 3.6k
Harm van Bakel United States 34 2.9k 1.7× 687 0.7× 705 1.0× 686 1.1× 231 0.5× 114 4.5k
Michael J. Coyne United States 37 4.6k 2.7× 877 0.9× 361 0.5× 388 0.6× 378 0.7× 104 6.5k
Hui Sun China 35 2.7k 1.5× 758 0.8× 320 0.4× 273 0.4× 925 1.8× 129 5.1k
Nan Zhou China 27 2.2k 1.3× 931 1.0× 1.6k 2.2× 830 1.3× 285 0.6× 103 5.2k
Qian Yang China 33 1.1k 0.7× 1.0k 1.0× 460 0.6× 278 0.4× 651 1.3× 167 3.5k
Joachim Mankertz Germany 34 3.3k 1.9× 744 0.8× 863 1.2× 243 0.4× 1.1k 2.2× 60 7.3k
Nan Qin China 25 1.9k 1.1× 389 0.4× 351 0.5× 832 1.3× 165 0.3× 57 3.8k
Mei Wang United States 31 2.2k 1.3× 586 0.6× 491 0.7× 132 0.2× 126 0.2× 79 3.9k

Countries citing papers authored by Dirk Repsilber

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Repsilber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Repsilber

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Repsilber. A scholar is included among the top collaborators of Dirk Repsilber 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 Dirk Repsilber. Dirk Repsilber 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
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Forsgård, Richard A., et al.. (2025). Acute effects of butyrate on intestinal permeability in patients with irritable bowel syndrome assessed by a novel colonoscopy research model. Gut Microbes. 17(1). 2545414–2545414. 1 indexed citations
3.
Peterson, Christer, Charlotte Hedin, Daniel Bergemalm, et al.. (2024). Faecal biomarkers for diagnosis and prediction of disease course in treatment‐naïve patients with IBD. Alimentary Pharmacology & Therapeutics. 60(6). 765–777. 7 indexed citations
4.
Davíðsdóttir, Lóa, Johan D. Söderholm, Robin Christensen, et al.. (2024). Nordic inflammatory bowel disease treatment strategy trial: protocol for the NORDTREAT randomised controlled biomarker-strategy trial. BMJ Open. 14(7). e083163–e083163.
5.
Eklund, Daniel, et al.. (2023). Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance. Scientific Reports. 13(1). 14917–14917. 4 indexed citations
6.
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Zhang, Xueli, Ke Shen, Qiliang Peng, et al.. (2023). CBD2: A functional biomarker database for colorectal cancer. SHILAP Revista de lepidopterología. 3(1). e155–e155. 3 indexed citations
8.
Bachmann, R, Matthias Van Hul, Paméla Baldin, et al.. (2022). Akkermansia muciniphila Reduces Peritonitis and Improves Intestinal Tissue Wound Healing after a Colonic Transmural Defect by a MyD88-Dependent Mechanism. Cells. 11(17). 2666–2666. 17 indexed citations
9.
Ljungberg, Liza U., et al.. (2020). Global Transcriptional Profiling Reveals Novel Autocrine Functions of Interleukin 6 in Human Vascular Endothelial Cells. Mediators of Inflammation. 2020. 1–12. 10 indexed citations
10.
Kiselev, Andrey, et al.. (2019). A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera. Sensors. 19(14). 3142–3142. 13 indexed citations
11.
Ljótsson, Brjánn, Steven J. Linton, Katja Boersma, et al.. (2017). Face-to-Face Cognitive-Behavioral Therapy for Irritable Bowel Syndrome: The Effects on Gastrointestinal and Psychiatric Symptoms. Gastroenterology Research and Practice. 2017. 1–9. 10 indexed citations
12.
Bergemalm, Daniel, et al.. (2017). Subphenotypes of inflammatory bowel disease are characterized by specific serum protein profiles. PLoS ONE. 12(10). e0186142–e0186142. 27 indexed citations
13.
Hadlich, Frieder, et al.. (2015). Temperament Type Specific Metabolite Profiles of the Prefrontal Cortex and Serum in Cattle. PLoS ONE. 10(4). e0125044–e0125044. 18 indexed citations
14.
Nürnberg, Gerd, et al.. (2013). Describing Temperament in an Ungulate: A Multidimensional Approach. PLoS ONE. 8(9). e74579–e74579. 41 indexed citations
15.
Melzer, Nina, Dörte Wittenburg, & Dirk Repsilber. (2013). Integrating Milk Metabolite Profile Information for the Prediction of Traditional Milk Traits Based on SNP Information for Holstein Cows. PLoS ONE. 8(8). e70256–e70256. 17 indexed citations
16.
Krappmann, Kristin, Christine Wurmser, Dirk Repsilber, et al.. (2012). Short communication: Evaluation of bovine milk residues from routine milk testing programs as DNA source for genotyping. Journal of Dairy Science. 95(9). 5436–5441. 1 indexed citations
17.
Maertzdorf, Jeroen, Martin O. C. Ota, Dirk Repsilber, et al.. (2011). Functional Correlations of Pathogenesis-Driven Gene Expression Signatures in Tuberculosis. PLoS ONE. 6(10). e26938–e26938. 129 indexed citations
18.
Andorf, Sandra, et al.. (2008). Towards Systems Biology of Heterosis: A Hypothesis about Molecular Network Structure Applied for the Arabidopsis Metabolome. SHILAP Revista de lepidopterología. 2009. 1–12. 6 indexed citations
19.
Steinfath, Matthias, Dirk Repsilber, Matthias Scholz, Dirk Walther, & Joachim Selbig. (2007). Integrated data analysis for genome-wide research. Birkhäuser Basel eBooks. 97. 309–329. 17 indexed citations
20.
Snipen, Lars, et al.. (2006). Detection of divergent genes in microbial aCGH experiments. BMC Bioinformatics. 7(1). 181–181. 8 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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