Georg A. Mathis

524 citations
19 papers · 391 · h-index 11

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • PARP inhibition in cancer therapy
    • Drug Transport and Resistance Mechanisms

Papers in

    • Drug Transport and Resistance Mechanisms 4
    • PARP inhibition in cancer therapy 3
    • Cancer therapeutics and mechanisms 2

Georg A. Mathis

18 papers receiving 378 citations

Peers

Georg A. Mathis
Comparison fields: 5 of 58
  • Hepatology 147
  • Oncology 160
  • Surgery 141
  • Ophthalmology 25
  • Molecular Biology 157
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Citations per year

Countries citing papers authored by Georg A. Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Georg A. Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georg A. Mathis. 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 Georg A. Mathis. The network helps show where Georg A. Mathis may publish in the future.

Co-authors

The 25 scholars most cited alongside Georg A. Mathis, 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 Georg A. Mathis Line = papers co-authored together Georg A. Mathis links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1990115
2 198952
3 198749
4
Biochemical characteristics of hyperplastic rat bile ductular epithelial cells cultured "on top" and "inside" different extracellular matrix substitutes.
198833
5 199632
6 199020
7 198618
8 199017
9 199012
10 201211
11 199110
12
The poly-ADP-ribosylation system of higher eukaryotes: a protein shuttle mechanism in chromatin?
19906
13 19975
14 20133
15 19903
16 20173
17 19961
18 19621
19 20170

About Georg A. Mathis

Georg A. Mathis is a scholar working on Oncology, Molecular Biology, Hepatology, Surgery and Pathology and Forensic Medicine, having authored 19 papers that have together received 391 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Drug Transport and Resistance Mechanisms (4 papers), PARP inhibition in cancer therapy (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Cancer therapeutics and mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Hepatology (147 citations), Oncology (160 citations), Surgery (141 citations), Ophthalmology (25 citations) and Molecular Biology (157 citations). Georg A. Mathis has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Alphonse E. Sirica, Felix R. Althaus, Lynne W. Elmore, Nobuya Sano, Shannon Walls, Frédéric Cumin, Marc de Gasparo, Manuel Ramı́rez, Rebecca P. Hughey and Erin G. Schuetz. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Biochemical and Biophysical Research Communications, Pathobiology, European Journal of Ophthalmology and Journal of Cellular Physiology.

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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