Ralf Weiskirchen

28.5k total citations · 11 hit papers
489 papers, 19.0k citations indexed

About

Ralf Weiskirchen is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Ralf Weiskirchen has authored 489 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Epidemiology, 170 papers in Molecular Biology and 155 papers in Hepatology. Recurrent topics in Ralf Weiskirchen's work include Liver Disease Diagnosis and Treatment (149 papers), Liver physiology and pathology (128 papers) and TGF-β signaling in diseases (32 papers). Ralf Weiskirchen is often cited by papers focused on Liver Disease Diagnosis and Treatment (149 papers), Liver physiology and pathology (128 papers) and TGF-β signaling in diseases (32 papers). Ralf Weiskirchen collaborates with scholars based in Germany, United States and Netherlands. Ralf Weiskirchen's co-authors include Frank Tacke, Axel M. Gressner, Sabine Weiskirchen, Erawan Borkham‐Kamphorst, Christian Trautwein, Christian Liedtke, O Gressner, Preethi Chandrasekaran, Nikolaus Gaßler and Steffen K. Meurer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Ralf Weiskirchen

464 papers receiving 18.8k citations

Hit Papers

Hepatic recruitment of th... 2006 2026 2012 2019 2009 2006 2018 2017 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ralf Weiskirchen 7.0k 6.5k 6.0k 2.6k 2.5k 489 19.0k
Vijay H. Shah 8.8k 1.3× 7.0k 1.1× 5.6k 0.9× 1.4k 0.5× 3.1k 1.2× 326 18.9k
Fabio Marra 10.4k 1.5× 8.1k 1.2× 3.7k 0.6× 1.9k 0.7× 3.0k 1.2× 280 17.9k
John P. Iredale 8.7k 1.3× 11.0k 1.7× 5.1k 0.9× 3.9k 1.5× 5.1k 2.0× 176 21.3k
Shuichi Kaneko 6.9k 1.0× 7.2k 1.1× 5.7k 0.9× 3.2k 1.2× 3.1k 1.2× 555 21.6k
Koichi Tsuneyama 5.3k 0.8× 4.7k 0.7× 3.3k 0.5× 3.1k 1.2× 3.7k 1.5× 448 15.3k
Norio Hayashi 7.9k 1.1× 7.9k 1.2× 11.6k 1.9× 4.8k 1.9× 2.1k 0.8× 623 26.4k
Hisataka Moriwaki 4.4k 0.6× 3.8k 0.6× 5.3k 0.9× 1.8k 0.7× 2.7k 1.1× 511 16.6k
Robert F. Schwabe 10.4k 1.5× 8.5k 1.3× 8.7k 1.5× 3.8k 1.4× 3.8k 1.5× 130 24.3k
Samuel W. French 8.4k 1.2× 2.5k 0.4× 7.6k 1.3× 1.9k 0.7× 3.3k 1.3× 574 22.4k
Wolfgang Stremmel 5.1k 0.7× 3.4k 0.5× 9.4k 1.6× 2.9k 1.1× 4.5k 1.8× 660 27.5k

Countries citing papers authored by Ralf Weiskirchen

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Weiskirchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Weiskirchen

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Weiskirchen. A scholar is included among the top collaborators of Ralf Weiskirchen 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 Ralf Weiskirchen. Ralf Weiskirchen 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.
Weiskirchen, Ralf, et al.. (2025). A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes. Frontiers in Nutrition. 11. 1520779–1520779. 1 indexed citations
2.
Melnik, Bodo C., Ralf Weiskirchen, Sabine Weiskirchen, et al.. (2025). Diabetes-preventive molecular mechanisms of breast versus formula feeding: new insights into the impact of milk on stem cell Wnt signaling. Frontiers in Nutrition. 12. 1652297–1652297.
3.
Nair, Dileep G. & Ralf Weiskirchen. (2024). Advanced In Vitro Models for Preclinical Drug Safety: Recent Progress and Prospects. Current Issues in Molecular Biology. 47(1). 7–7. 14 indexed citations
5.
Lonardo, Amedeo, Stefano Ballestri, György Baffy, & Ralf Weiskirchen. (2024). Liver fibrosis as a barometer of systemic health by gauging the risk of extrahepatic disease. 4(4). 5 indexed citations
6.
Lonardo, Amedeo, et al.. (2024). Sex and Gender Differences in Liver Fibrosis: Pathomechanisms and Clinical Outcomes. 2(4). 10006–10006. 15 indexed citations
8.
Weiskirchen, Sabine, Antônio Miguel Vieira Monteiro, Radovan Borojević, & Ralf Weiskirchen. (2024). Unlocking Potential: A Comprehensive Overview of Cell Culture Banks and Their Impact on Biomedical Research. Cells. 13(22). 1861–1861.
9.
Makowska, Anna & Ralf Weiskirchen. (2024). Nasopharyngeal Carcinoma Cell Lines: Reliable Alternatives to Primary Nasopharyngeal Cells?. Cells. 13(7). 559–559. 3 indexed citations
10.
Noetzel, Erik, Lin Gan, Ralf Weiskirchen, et al.. (2024). Dual role of GRHL3 in bladder carcinogenesis depending on histological subtypes. Molecular Oncology. 18(6). 1397–1416.
11.
Melnik, Bodo C., Rudolf Stadler, Ralf Weiskirchen, Claus Leitzmann, & Gerd Schmitz. (2023). Potential Pathogenic Impact of Cow’s Milk Consumption and Bovine Milk-Derived Exosomal MicroRNAs in Diffuse Large B-Cell Lymphoma. International Journal of Molecular Sciences. 24(7). 6102–6102. 12 indexed citations
12.
Han, Mei, Roman Liebe, Ye Yao, et al.. (2023). The Interplay of TGF-β1 and Cholesterol Orchestrating Hepatocyte Cell Fate, EMT, and Signals for HSC Activation. Cellular and Molecular Gastroenterology and Hepatology. 17(4). 567–587. 10 indexed citations
13.
Chandrasekaran, Preethi & Ralf Weiskirchen. (2023). The Pivotal Role of the Membrane-Bound O-Acyltransferase Domain Containing 7 in Non-Alcoholic Fatty Liver Disease. SHILAP Revista de lepidopterología. 4(1). 1–14. 4 indexed citations
14.
Zhang, Kaiping, Yan Peng, Chun‐Dong Zhang, et al.. (2023). Scope highlights of Annals of Translational Medicine based on a review of the history, definition, and scope of translational medicine. Annals of Translational Medicine. 11(11). 381–381. 1 indexed citations
15.
Weiskirchen, Ralf, Sarah K. Schröder, Sabine Weiskirchen, Eva Miriam Buhl, & Bodo C. Melnik. (2023). Isolation of Bovine and Human Milk Extracellular Vesicles. Biomedicines. 11(10). 2715–2715. 9 indexed citations
16.
Ullmann, Pit, Fabien Rodriguez, Martine Schmitz, et al.. (2018). The miR-371∼373 Cluster Represses Colon Cancer Initiation and Metastatic Colonization by Inhibiting the TGFBR2/ID1 Signaling Axis. Cancer Research. 78(14). 3793–3808. 37 indexed citations
17.
Krenkel, Oliver, Tobias Puengel, Olivier Govaere, et al.. (2017). Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis. Hepatology. 67(4). 1270–1283. 421 indexed citations breakdown →
18.
Tag, Carmen G., Sibille Sauer-Lehnen, Sabine Weiskirchen, et al.. (2015). Bile Duct Ligation in Mice: Induction of Inflammatory Liver Injury and Fibrosis by Obstructive Cholestasis. Journal of Visualized Experiments. 90 indexed citations
19.
Tag, Carmen G., Sibille Sauer-Lehnen, Sabine Weiskirchen, et al.. (2015). Bile Duct Ligation in Mice: Induction of Inflammatory Liver Injury and Fibrosis by Obstructive Cholestasis. Journal of Visualized Experiments. 248 indexed citations
20.
Borkham‐Kamphorst, Erawan, et al.. (2004). Dominant-negative soluble PDGF-β receptor inhibits hepatic stellate cell activation and attenuates liver fibrosis. Laboratory Investigation. 84(6). 766–777. 126 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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