Markus Schug

648 citations
16 papers · 518 · h-index 11

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Carcinogens and Genotoxicity Assessment

Papers in

    • Carcinogens and Genotoxicity Assessment 5
    • Drug-Induced Hepatotoxicity and Protection 4
    • Pharmacogenetics and Drug Metabolism 2

Markus Schug

15 papers receiving 505 citations

Peers

Markus Schug
Comparison fields: 5 of 69
  • Pharmacology 98
  • Cancer Research 100
  • Small Animals 44
  • Hepatology 27
  • Toxicology 16
Replace Teija Oinonen with:
Teija Oinonen Finland
Tom De Bruyn Belgium
Marian Raschke Germany
Franziska Paech Switzerland
Robin E. Neft United States
Caitlin Lynch United States
Sun Young Kim South Korea
Yulia Y. Maxuitenko United States
Mary F. Kanz United States
Émilie Jigorel France
Markus Schug relative to Teija Oinonen Finland Teija Oinonen's profile →
Citations per field
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Teija Oinonen · 1×
Citations per year

Countries citing papers authored by Markus Schug

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010171
2 200846
3 200841
4 201240
5 201239
6 200936
7 201336
8 201626
9 201023
10 201823
11 201016
12 200811
13 20236
14 20243
15 20241
16 20260

About Markus Schug

Markus Schug is a scholar working on Cancer Research, Pharmacology, Communication, Hepatology and Emergency Medicine, having authored 16 papers that have together received 518 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Communication and COVID-19 Impact (2 papers), Liver physiology and pathology (2 papers), Media Studies and Communication (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Cancer Cells and Metastasis (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Pharmacology (98 citations), Cancer Research (100 citations), Small Animals (44 citations), Hepatology (27 citations) and Toxicology (16 citations). Markus Schug has collaborated with scholars based in Germany, India and Portugal. Frequent co-authors include Jan Georg Hengstler, Wiebke Schormann, Matthias Hermes, Jörg Rahnenführer, Lindsey J. Maccoux, Patrício Godoy, Cristina Cadenas, Ursula Gundert‐Remy, Katja Ickstadt and Jan Baumbach. Their work appears in journals such as Archives of Toxicology, Media and Communication, Current Medicinal Chemistry, Histochemistry and Cell Biology and Biological Chemistry.

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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