Wiebke Erhart

1.9k total citations · 1 hit paper
8 papers, 752 citations indexed

About

Wiebke Erhart is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Wiebke Erhart has authored 8 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Wiebke Erhart's work include Liver Disease Diagnosis and Treatment (3 papers), Lipid metabolism and disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). Wiebke Erhart is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Lipid metabolism and disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). Wiebke Erhart collaborates with scholars based in Germany, United States and Sweden. Wiebke Erhart's co-authors include Jochen Hampe, Mario Brosch, Witigo von Schönfels, Steve Horvath, M Ahrens, Jordana T. Bell, Bence Sipos, Nils Heits, Reiner Siebert and Panos Deloukas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and International Journal of Molecular Sciences.

In The Last Decade

Wiebke Erhart

8 papers receiving 740 citations

Hit Papers

Obesity accelerates epigenetic aging of human liver 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wiebke Erhart Germany 8 423 223 159 152 104 8 752
M Ahrens Germany 7 355 0.8× 128 0.6× 151 0.9× 149 1.0× 91 0.9× 12 711
Clemens Schafmayer Germany 6 357 0.8× 88 0.4× 127 0.8× 149 1.0× 93 0.9× 12 538
Saja S. Khuder United States 12 277 0.7× 129 0.6× 165 1.0× 26 0.2× 125 1.2× 17 614
Wei Gu China 17 227 0.5× 101 0.5× 59 0.4× 124 0.8× 33 0.3× 41 704
Ari Ahola‐Olli Finland 10 153 0.4× 133 0.6× 100 0.6× 62 0.4× 205 2.0× 22 591
Sonia García-Calzón Spain 20 418 1.0× 92 0.4× 563 3.5× 158 1.0× 149 1.4× 31 1.1k
Azim Nejatizadeh Iran 14 102 0.2× 103 0.5× 59 0.4× 70 0.5× 58 0.6× 57 475
Claudia H.T. Tam Hong Kong 15 394 0.9× 160 0.7× 135 0.8× 77 0.5× 391 3.8× 37 968
Sobha Puppala United States 17 198 0.5× 100 0.4× 80 0.5× 53 0.3× 239 2.3× 35 691

Countries citing papers authored by Wiebke Erhart

Since Specialization
Citations

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

Fields of papers citing papers by Wiebke Erhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiebke Erhart

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

All Works

8 of 8 papers shown
1.
Geismann, Claudia, Wiebke Erhart, Stefan Schreiber, et al.. (2018). TRAIL/NF-κB/CX3CL1 Mediated Onco-Immuno Crosstalk Leading to TRAIL Resistance of Pancreatic Cancer Cell Lines. International Journal of Molecular Sciences. 19(6). 1661–1661. 23 indexed citations
2.
Krauß, Markus, Ute Hofmann, Clemens Schafmayer, et al.. (2017). Translational learning from clinical studies predicts drug pharmacokinetics across patient populations. npj Systems Biology and Applications. 3(1). 11–11. 12 indexed citations
3.
Schiöth, Helgi B., Adrian E. Desai Boström, Susan K. Murphy, et al.. (2016). A targeted analysis reveals relevant shifts in the methylation and transcription of genes responsible for bile acid homeostasis and drug metabolism in non-alcoholic fatty liver disease. BMC Genomics. 17(1). 462–462. 20 indexed citations
4.
Teufel, Andreas, Timo Itzel, Wiebke Erhart, et al.. (2016). Comparison of Gene Expression Patterns Between Mouse Models of Nonalcoholic Fatty Liver Disease and Liver Tissues From Patients. Gastroenterology. 151(3). 513–525.e0. 153 indexed citations
5.
Mwinyi, Jessica, Adrian E. Desai Boström, Claudia Pisanu, et al.. (2016). NAFLD is associated with methylation shifts with relevance for the expression of genes involved in lipoprotein particle composition. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1862(3). 314–323. 18 indexed citations
6.
Arlt, Alexander, et al.. (2014). Antibiosis of Necrotizing Pancreatitis. Visceral Medicine. 30(5). 318–324. 11 indexed citations
7.
Horvath, Steve, Wiebke Erhart, Mario Brosch, et al.. (2014). Obesity accelerates epigenetic aging of human liver. Proceedings of the National Academy of Sciences. 111(43). 15538–15543. 492 indexed citations breakdown →
8.
Szinicz, G., Ludwig Müller, Wiebke Erhart, et al.. (1989). “Reversible gastric banding” in surgical treatment of morbid obesity — results of animal experiments. Research in Experimental Medicine. 189(1). 55–60. 23 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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