Markus Keiser

1.7k citations
36 papers · 1.3k · h-index 21

Impact in

  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Markus Keiser

36 papers receiving 1.3k citations

Peers

Markus Keiser
Comparison fields: 5 of 100
  • Oncology 587
  • Hepatology 157
  • Pharmacology 173
  • Pediatrics, Perinatology and Child Health 289
  • Biochemistry 69
Replace Mizuho Une with:
Mizuho Une Japan
Marie V. St–Pierre Switzerland
A. David Rodrigues United States
Alison E.M. Vickers United States
Kathleen M. Hillgren United States
Mitchell E. Taub United States
Annick Seithel Germany
J. Greg Slatter United States
Viviana A. Catania Argentina
Cindy Q. Xia United States
Markus Keiser relative to Mizuho Une Japan Mizuho Une's profile →
Citations per field
00.5×3.2×
Mizuho Une · 1×
Citations per year

Countries citing papers authored by Markus Keiser

Since Specialization
Citations

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

Fields of papers citing papers by Markus Keiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010201
2 2012117
3 2010114
4 201682
5 201260
6 200855
7 201750
8 201248
9 200544
10 201341
11 201540
12 201139
13 201735
14 201234
15 201429
16 201326
17 201626
18 200624
19 201824
20 201424

About Markus Keiser

Markus Keiser is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Pharmacology, Genetics and Infectious Diseases, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (23 papers), Pharmacological Effects and Toxicity Studies (12 papers), Pharmacogenetics and Drug Metabolism (6 papers), Digestive system and related health (5 papers), Metabolism and Genetic Disorders (3 papers), Amino Acid Enzymes and Metabolism (3 papers), HIV/AIDS drug development and treatment (3 papers) and Pregnancy and Medication Impact (3 papers). The work is most often cited by research in Oncology (587 citations), Hepatology (157 citations), Pharmacology (173 citations), Pediatrics, Perinatology and Child Health (289 citations) and Biochemistry (69 citations). Markus Keiser has collaborated with scholars based in Germany, Sweden and Poland. Frequent co-authors include Stefan Oswald, Werner Siegmund, Markus Grube, Werner Weitschies, Jens‐Peter Kühn, Heyo K. Kroemer, Hassan Y. Naim, Janett Müller, Hartmut Glaeser and Martin F. Fromm. Their work appears in journals such as Molecular Pharmaceutics, Drug Metabolism and Disposition, Clinical Pharmacology & Therapeutics, Gastroenterology and Journal of Pharmaceutical Sciences.

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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