Oliver Burk

9.8k citations
68 papers · 8.0k indexed · 3 hit papers · h-index 35

Oliver Burk

66 papers receiving 7.9k citations

Hit Papers

The genetic determinants of the CYP3A5 polymorphism560200020262008201750010001.5k

Peers

Oliver Burk
Comparison fields: 5 of 125
  • Pharmacology 3.4k
  • Transplantation 492
  • Oncology 4.5k
  • Pediatrics, Perinatology and Child Health 2.4k
  • Endocrinology, Diabetes and Metabolism 827
Replace Jatinder K. Lamba with:
Jatinder K. Lamba United States
Kazuto Yasuda United States
Elke Schaeffeler Germany
Kathrin Klein Germany
Christian P. Strassburg Germany
Chantal Guillemette Canada
Peter L. M. Jansen Netherlands
Deanna L. Kroetz United States
Ichiro Ieiri Japan
Jörg König Germany
Oliver Burk relative to Jatinder K. Lamba United States Jatinder K. Lamba's profile →
Citations per field
00.5×1.5×
Jatinder K. Lamba · 1×
Citations per year

Countries citing papers authored by Oliver Burk

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Burk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20255
3 20219
4 20159
5 201525
6 201373
7 201216
8 201230
9 201149
10 201039
11 2009306
12 2007220
13 200720
14 200722
15 200614
16 2004113
17 2002156
18
Induction of CYP2C8, CYP2C9, and CYP3A4 by rifampin in shedded human enterocytes.
20011
19
Nuclear Receptor Response Elements Mediate Induction of Intestinal MDR1 by Rifampinbreakdown →
2001702
20 2000208

About Oliver Burk

Oliver Burk is a scholar working on Pharmacology, Oncology and Pediatrics, Perinatology and Child Health, having authored 68 papers that have together received 8.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (38 papers), Pharmacogenetics and Drug Metabolism (36 papers), Pharmacological Effects and Toxicity Studies (10 papers), Hormonal Regulation and Hypertension (8 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), HIV/AIDS drug development and treatment (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Pharmacology (3.4k citations), Transplantation (492 citations) and Oncology (4.5k citations). Oliver Burk has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Michel Eichelbaum, Anke Geick, Ulrich M. Zanger, Oliver von Richter, Ulrich Brinkmann, Matthias Schwab, Sven Hoffmeyer, Leszek Wojnowski, J. Brockmöller and Ingolf Cascorbi. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Molecular Pharmacology, Archives of Toxicology, Journal of Biological Chemistry and The EMBO Journal.

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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