Karin Brecht

1.1k citations
25 papers · 861 · h-index 15

Impact in

Papers in

Karin Brecht

25 papers receiving 831 citations

Peers

Karin Brecht
Comparison fields: 5 of 95
  • Pharmacology 131
  • Cardiology and Cardiovascular Medicine 150
  • Clinical Biochemistry 37
  • Molecular Biology 375
  • Hepatology 39
Replace Anja Zahno with:
Anja Zahno Switzerland
Clay T. Cramer United States
Dagmara Mohuczy United States
Jitske de Vries-van der Weij Netherlands
Daniel E. Francés Argentina
Chris Black United States
I. Bartošek Italy
Kazunori Fujimoto Japan
Jean‐Yves Artigou France
Qiao Yang China
Karin Brecht relative to Anja Zahno Switzerland Anja Zahno's profile →
Citations per field
00.5×
Anja Zahno · 1×
Citations per year

Countries citing papers authored by Karin Brecht

Since Specialization
Citations

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

Fields of papers citing papers by Karin Brecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006205
2 2006101
3 201098
4 200968
5 201163
6 200545
7 201045
8 200229
9 201326
10 201625
11 202024
12 200821
13 201220
14 201619
15 201316
16 200512
17
The response of isolated arteries and veins to potassium, osmolarity and drugs.
19699
18 20198
19 20237
20 20057

About Karin Brecht

Karin Brecht is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 861 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Cell death mechanisms and regulation (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Pharmacology (131 citations), Cardiology and Cardiovascular Medicine (150 citations), Clinical Biochemistry (37 citations), Molecular Biology (375 citations) and Hepatology (39 citations). Karin Brecht has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Stephan Krähenbühl, Anja Zahno, Michael Török, K. Waldhauser, Stephan Krähenbühl, Priska Kaufmann, Peter W. Lindinger, Peter Mullen, Daniel Konrad and Hubert Scharnagl. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, Biochemical Pharmacology, Toxicology and APOPTOSIS.

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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