Mario Beilmann

974 total citations · 1 hit paper
21 papers, 634 citations indexed

About

Mario Beilmann is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Mario Beilmann has authored 21 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Surgery. Recurrent topics in Mario Beilmann's work include 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (5 papers) and Liver physiology and pathology (4 papers). Mario Beilmann is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (5 papers) and Liver physiology and pathology (4 papers). Mario Beilmann collaborates with scholars based in Germany, United States and United Kingdom. Mario Beilmann's co-authors include Hans‐Peter Dienes, Peter Schirmacher, George F. Vande Woude, Margarete Odenthal, Ulrich Deschl, Adrian Roth, Thomas Steger‐Hartmann, Philip Hewitt, Harrie C. M. Boonen and Tomas Mow and has published in prestigious journals such as Blood, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Mario Beilmann

21 papers receiving 615 citations

Hit Papers

The evolving role of investigative toxicology in the phar... 2023 2026 2024 2025 2023 40 80 120
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.

  1. The evolving role of investigative toxicology in the pharmaceutical industry
    2023 132 citations François Pognan, Mario Beilmann et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Beilmann Germany 13 253 158 124 113 64 21 634
Dawn Applegate United States 6 229 0.9× 413 2.6× 167 1.3× 96 0.8× 16 0.3× 7 741
Tadahiro Shinozawa Japan 14 317 1.3× 210 1.3× 171 1.4× 115 1.0× 12 0.2× 28 690
Walter F. Bobrowski United States 16 223 0.9× 52 0.3× 34 0.3× 70 0.6× 99 1.5× 28 668
Gahl Levy Israel 9 639 2.5× 352 2.2× 162 1.3× 171 1.5× 54 0.8× 13 1.1k
Tom Henkens Belgium 13 649 2.6× 103 0.7× 270 2.2× 197 1.7× 31 0.5× 21 1.0k
Shingo Niimi Japan 15 308 1.2× 53 0.3× 44 0.4× 84 0.7× 63 1.0× 49 669
Raymond Reif Germany 15 265 1.0× 37 0.2× 143 1.2× 143 1.3× 54 0.8× 28 719
Carlota Oleaga United States 14 202 0.8× 243 1.5× 16 0.1× 81 0.7× 30 0.5× 19 573
Lijun Ling China 18 180 0.7× 125 0.8× 27 0.2× 111 1.0× 93 1.5× 41 860
Jannick Theobald Germany 12 231 0.9× 244 1.5× 91 0.7× 79 0.7× 19 0.3× 16 664

Countries citing papers authored by Mario Beilmann

Since Specialization
Citations

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

Fields of papers citing papers by Mario Beilmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Beilmann

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Beilmann. A scholar is included among the top collaborators of Mario Beilmann 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 Mario Beilmann. Mario Beilmann 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.
Beilmann, Mario, Karissa Adkins, Harrie C. M. Boonen, et al.. (2025). Application of new approach methodologies for nonclinical safety assessment of drug candidates. Nature Reviews Drug Discovery. 24(9). 705–725. 7 indexed citations
2.
3.
Pognan, François, Mario Beilmann, Harrie C. M. Boonen, et al.. (2023). The evolving role of investigative toxicology in the pharmaceutical industry. Nature Reviews Drug Discovery. 22(4). 317–335. 132 indexed citations breakdown →
4.
Schieferdecker, Sebastian, Andreas Eberlein, Esther Vock, & Mario Beilmann. (2022). Development of an in silico consensus model for the prediction of the phospholipigenic potential of small molecules. Computational Toxicology. 22. 100226–100226. 3 indexed citations
5.
Gerst, Felicia, et al.. (2019). Glucose, adrenaline and palmitate antagonistically regulate insulin and glucagon secretion in human pseudoislets. Scientific Reports. 9(1). 10261–10261. 18 indexed citations
6.
Christoffersson, Jonas, Henning Kempf, Kristin Schwanke, et al.. (2019). Evaluating the Effect of Drug Compounds on Cardiac Spheroids Using the Cardiac Cell Outgrowth Assay. Methods in molecular biology. 1994. 185–193. 6 indexed citations
7.
Secker, Philipp F., et al.. (2019). Functional transepithelial transport measurements to detect nephrotoxicity in vitro using the RPTEC/TERT1 cell line. Archives of Toxicology. 93(7). 1965–1978. 29 indexed citations
8.
Christoffersson, Jonas, Henning Kempf, Kristin Schwanke, et al.. (2018). A Cardiac Cell Outgrowth Assay for Evaluating Drug Compounds Using a Cardiac Spheroid-on-a-Chip Device. Bioengineering. 5(2). 36–36. 29 indexed citations
9.
Beilmann, Mario. (2018). Optimizing drug discovery by Investigative Toxicology: Current and future trends. ALTEX. 36(2). 289–313. 40 indexed citations
10.
Feifel, Elisabeth, Georg Kern, Cormac D. Murphy, et al.. (2018). Differentiation of human iPSCs into functional podocytes. PLoS ONE. 13(9). e0203869–e0203869. 36 indexed citations
11.
Wilmes, Anja, Giada Carta, Georg Kern, et al.. (2017). Towards optimisation of induced pluripotent cell culture: Extracellular acidification results in growth arrest of iPSC prior to nutrient exhaustion. Toxicology in Vitro. 45(Pt 3). 445–454. 9 indexed citations
12.
Freyer, Nora, Joanna Brzeszczyńska, Lyle Armstrong, et al.. (2017). Hepatic differentiation of human iPSCs in different 3D models: A comparative study. International Journal of Molecular Medicine. 40(6). 1759–1771. 47 indexed citations
13.
Suter‐Dick, Laura, Paula M. Alves, Bas J. Blaauboer, et al.. (2015). Stem Cell-Derived Systems in Toxicology Assessment. Stem Cells and Development. 24(11). 1284–1296. 43 indexed citations
14.
Stummann, Tina C., Mario Beilmann, Göran Duker, et al.. (2009). Report and Recommendations of the Workshop of the European Centre for the Validation of Alternative Methods for Drug-Induced Cardiotoxicity. Cardiovascular Toxicology. 9(3). 107–125. 27 indexed citations
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17.
Schindler, Marcus, et al.. (2003). Characterization of the NPGP receptor and identification of a novel short mRNA isoform in human hypothalamus. Regulatory Peptides. 111(1-3). 21–29. 6 indexed citations
18.
Beilmann, Mario, George F. Vande Woude, Hans‐Peter Dienes, & Peter Schirmacher. (2000). Hepatocyte growth factor–stimulated invasiveness of monocytes. Blood. 95(12). 3964–3969. 33 indexed citations
19.
Beilmann, Mario, George F. Vande Woude, Hans‐Peter Dienes, & Peter Schirmacher. (2000). Hepatocyte growth factor–stimulated invasiveness of monocytes. Blood. 95(12). 3964–3969. 65 indexed citations
20.
Beilmann, Mario, et al.. (1997). Neoexpression of the c-met/Hepatocyte Growth Factor-Scatter Factor Receptor Gene in Activated Monocytes. Blood. 90(11). 4450–4458. 4 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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