Katrin Hayeß

1.7k citations
25 papers · 1.4k · h-index 16

Impact in

Papers in

Katrin Hayeß

25 papers receiving 1.3k citations

Peers

Katrin Hayeß
Comparison fields: 5 of 92
  • Cell Biology 293
  • Aging 30
  • Cardiology and Cardiovascular Medicine 354
  • Molecular Biology 1.0k
  • Developmental Neuroscience 42
Replace Gregor Kirfel with:
Gregor Kirfel Germany
S.J. Winder United Kingdom
Christoph S. Clemen Germany
Takuro Arimura Japan
Christine T. DeMaria United States
A. S. Fanning United States
Hiromi Takano‐Ohmuro Japan
Katsuhide Mabuchi United States
Osvaldo Rey United States
Warren E. Zimmer United States
Katrin Hayeß relative to Gregor Kirfel Germany Gregor Kirfel's profile →
Citations per field
00.5×2.7×
Gregor Kirfel · 1×
Citations per year

Countries citing papers authored by Katrin Hayeß

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Hayeß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katrin Hayeß, 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 Katrin Hayeß Line = papers co-authored together Katrin Hayeß 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 1994427
2 2000164
3 2000160
4 2008118
5 200376
6 200464
7 199245
8 201241
9 200737
10 200932
11 199732
12 201228
13 201324
14 200322
15 201018
16 199816
17 199215
18
Current status of the embryonic stem cell test: The use of recent advances in the field of stem cell technology and gene expression analysis
200614
19 200513
20 201011

About Katrin Hayeß

Katrin Hayeß is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Materials Chemistry, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Pluripotent Stem Cells Research (6 papers), Muscle Physiology and Disorders (6 papers), Genetic Neurodegenerative Diseases (4 papers), Heat shock proteins research (4 papers), Anesthesia and Neurotoxicity Research (2 papers), Protein Structure and Dynamics (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cell Biology (293 citations), Aging (30 citations), Cardiology and Cardiovascular Medicine (354 citations), Molecular Biology (1.0k citations) and Developmental Neuroscience (42 citations). Katrin Hayeß has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Rainer Benndorf, Joachim Behlke, Sergey Ryazantsev, Martin Wieske, Gudrun Lutsch, Dieter O. Fürst, Elke Genersch, Hermann Haller, Mirko Himmel and Stefan Kempa. Their work appears in journals such as Journal of Molecular Biology, Journal of Cellular Biochemistry, Journal of Biological Chemistry, Reproductive Toxicology and The Journal of Cell Biology.

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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