Karin Brecht

1.1k citations
25 papers · 916 · h-index 15

Impact in

Papers in

Karin Brecht

25 papers receiving 880 citations

Peers

Karin Brecht
Comparison fields: 5 of 95
  • Pharmacology 139
  • Cardiology and Cardiovascular Medicine 155
  • Cancer Research 85
  • Clinical Biochemistry 40
  • Molecular Biology 392
Replace Clay T. Cramer with:
Clay T. Cramer United States
Dagmara Mohuczy United States
Sebastián Dante Calligaris Chile
Jitske de Vries-van der Weij Netherlands
Kazunori Fujimoto Japan
Jibo Han China
I. Bartošek Italy
Qiao Yang China
Yanyong Xu United States
Hamid A. Boulares United States
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Citations per field
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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 2006218
2 2006106
3 2010103
4 200971
5 201166
6 200549
7 201047
8 200230
9 201627
10 201326
11 202026
12 200825
13 201224
14 201619
15 201318
16 200512
17
The response of isolated arteries and veins to potassium, osmolarity and drugs.
196912
18 20199
19 20238
20 20057

About Karin Brecht

Karin Brecht is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Biochemistry, Molecular Biology and Oncology, having authored 25 papers that have together received 916 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Cell death mechanisms and regulation (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Pharmacology (139 citations), Cardiology and Cardiovascular Medicine (155 citations), Cancer Research (85 citations), Clinical Biochemistry (40 citations) and Molecular Biology (392 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 APOPTOSIS, Toxicology, Journal of Pharmacology and Experimental Therapeutics, Biochemical Pharmacology and British Journal of Pharmacology.

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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