J. E. Dinger

852 total citations
12 papers, 432 citations indexed

About

J. E. Dinger is a scholar working on Pharmacology, Surgery and Molecular Biology. According to data from OpenAlex, J. E. Dinger has authored 12 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in J. E. Dinger's work include Pharmacogenetics and Drug Metabolism (5 papers), Liver physiology and pathology (3 papers) and Pancreatic function and diabetes (3 papers). J. E. Dinger is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Liver physiology and pathology (3 papers) and Pancreatic function and diabetes (3 papers). J. E. Dinger collaborates with scholars based in Germany, Sweden and Austria. J. E. Dinger's co-authors include Markus R. Meyer, Hans H. Maurer, Alexander S. Mosig, Marko Gröger, Michael Kiehntopf, Frank T. Peters, Michael Bauer, Amelie Lupp, Knut Rennert and Otmar Huber and has published in prestigious journals such as Biomaterials, Scientific Reports and Frontiers in Immunology.

In The Last Decade

J. E. Dinger

12 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. E. Dinger Germany 10 181 116 87 84 84 12 432
Shide Zhang China 12 42 0.2× 82 0.7× 9 0.1× 29 0.3× 31 0.4× 32 390
Sylvie Klieber France 13 130 0.7× 117 1.0× 114 1.3× 4 0.0× 193 2.3× 18 436
K.-C. Cheng United States 9 307 1.7× 138 1.2× 140 1.6× 2 0.0× 148 1.8× 14 582
Anantha Ram Nookala United States 11 55 0.3× 234 2.0× 4 0.0× 10 0.1× 15 0.2× 13 606
Rafael O.P. de Campos United States 13 10 0.1× 74 0.6× 68 0.8× 8 0.1× 107 1.3× 28 547
J. Fred Pritchard United States 6 26 0.1× 111 1.0× 27 0.3× 5 0.1× 45 0.5× 7 285
S. Halide Akbaş Türkiye 10 12 0.1× 96 0.8× 7 0.1× 23 0.3× 20 0.2× 16 355
Marc Wolter Germany 8 50 0.3× 131 1.1× 56 0.6× 3 0.0× 115 1.4× 11 393
Maryann L. Shen United States 8 12 0.1× 154 1.3× 4 0.0× 20 0.2× 19 0.2× 8 368
Raf Van Campenhout Belgium 11 21 0.1× 167 1.4× 27 0.3× 6 0.1× 31 0.4× 22 286

Countries citing papers authored by J. E. Dinger

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Dinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Dinger. 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 J. E. Dinger. The network helps show where J. E. Dinger may publish in the future.

Co-authorship network of co-authors of J. E. Dinger

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

All Works

12 of 12 papers shown
1.
Gröger, Marko, et al.. (2019). CAAP48, a New Sepsis Biomarker, Induces Hepatic Dysfunction in an in vitro Liver-on-Chip Model. Frontiers in Immunology. 10. 273–273. 14 indexed citations
2.
Gröger, Marko, J. E. Dinger, Michael Kiehntopf, et al.. (2017). Preservation of Cell Structure, Metabolism, and Biotransformation Activity of Liver‐On‐Chip Organ Models by Hypothermic Storage. Advanced Healthcare Materials. 7(2). 21 indexed citations
3.
Gröger, Marko, Knut Rennert, Benjamin Giszas, et al.. (2016). Monocyte-induced recovery of inflammation-associated hepatocellular dysfunction in a biochip-based human liver model. Scientific Reports. 6(1). 21868–21868. 43 indexed citations
4.
Dinger, J. E., et al.. (2015). Cytochrome P450 inhibition potential of new psychoactive substances of the tryptamine class. Toxicology Letters. 241. 82–94. 16 indexed citations
5.
Rennert, Knut, Marko Gröger, Birgit Ungerböck, et al.. (2015). A microfluidically perfused three dimensional human liver model. Biomaterials. 71. 119–131. 189 indexed citations
6.
Dinger, J. E., Markus R. Meyer, & Hans H. Maurer. (2014). In vitro cytochrome P450 inhibition potential of methylenedioxy-derived designer drugs studied with a two-cocktail approach. Archives of Toxicology. 90(2). 305–318. 28 indexed citations
7.
8.
Dinger, J. E., Markus R. Meyer, & Hans H. Maurer. (2014). Development of an in vitro cytochrome P450 cocktail inhibition assay for assessing the inhibition risk of drugs of abuse. Toxicology Letters. 230(1). 28–35. 38 indexed citations
9.
10.
Meyer, Markus R., J. E. Dinger, Andrea E. Schwaninger, et al.. (2011). Qualitative studies on the metabolism and the toxicological detection of the fentanyl-derived designer drugs 3-methylfentanyl and isofentanyl in rats using liquid chromatography–linear ion trap–mass spectrometry (LC-MSn). Analytical and Bioanalytical Chemistry. 402(3). 1249–1255. 36 indexed citations
11.
Dinger, J. E., et al.. (1964). SCRUBTYPHUS, AN EPIDEMIOLOGICAL STUDY.. PubMed. 44. 207–16. 2 indexed citations
12.
Dinger, J. E., et al.. (1951). A new antigen of Brucella abortus. The Journal of Pathology and Bacteriology. 63(1). 163–165. 3 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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