Mario Beilmann

21 papers receiving 671 citations

Mario Beilmann's Hit Papers

The evolving role of investigative toxicology in the pharmaceutical industry 2023 · 156 citations
1560+1+2Years since publication50100150

Peers

Mario Beilmann
Comparison fields: 5 of 101
  • Hepatology 124
  • Small Animals 37
  • Nephrology 29
  • Molecular Biology 265
  • Biomedical Engineering 169
Replace Walter F. Bobrowski with:
Walter F. Bobrowski United States
Tadahiro Shinozawa Japan
Raymond Reif Germany
Dawn Applegate United States
Fanny Knöspel Germany
François Boemer Belgium
Monika Niehof Germany
Karsta Luettich Switzerland
Hailin Zhang China
Feixiang Wu China
Mario Beilmann relative to Walter F. Bobrowski United States Walter F. Bobrowski's profile →
Citations per field
00.5×10×16×
Walter F. Bobrowski · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mario Beilmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Beilmann Line = papers co-authored together Mario Beilmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The evolving role of investigative toxicology in the pharmaceutical industry
Hit paper breakdown →
2023156
2 199768
3 200067
4 201750
5 201545
6 201844
7 201839
8 200036
9 200932
10 201931
11 201830
12 200427
13 201918
14 202510
15 20179
16 20249
17 20197
18 20037
19 19974
20 20223

About Mario Beilmann

Mario Beilmann is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Pathology and Forensic Medicine and Hepatology, having authored 21 papers that have together received 693 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Pluripotent Stem Cells Research (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver physiology and pathology (4 papers), Computational Drug Discovery Methods (3 papers), Pancreatic function and diabetes (3 papers), Cancer Mechanisms and Therapy (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Hepatology (124 citations), Small Animals (37 citations), Nephrology (29 citations), Molecular Biology (265 citations) and Biomedical Engineering (169 citations). Mario Beilmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hans‐Peter Dienes, Peter Schirmacher, George F. Vande Woude, Adrian Roth, Ulrich Deschl, Philip Hewitt, Thomas Steger‐Hartmann, Harrie C. M. Boonen, Margarete Odenthal and Andreas Czich. Their work appears in journals such as Blood, Nature Reviews Drug Discovery, Cytokine, Regulatory Toxicology and Pharmacology and Regulatory Peptides.

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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