Karin Müllendorff
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
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- Neuroscience and Neuropharmacology Research
- Nuclear Receptors and Signaling
Papers in
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- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Peroxisome Proliferator-Activated Receptors 1
- Ion channel regulation and function 1
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- Alzheimer's disease research and treatments 4
- Co-authors
- Yadong Huang (3 shared papers)Robert W. Mahley (3 shared papers)Alejandra Álvarez (1 shared paper)Miguel Bronfman (1 shared paper)Nibaldo C. Inestrosa (1 shared paper)Gonzalo H. Olivares (1 shared paper)Juan A. Godoy (1 shared paper)Liming Dong (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Journal of Neuroscience (2 papers)Experimental Cell Research (1 paper)eLife (1 paper)
- Partner nations
- United StatesChileGermany
In The Last Decade
Karin Müllendorff
8 papers receiving 818 citations
Peers
Comparison fields: 5 of 60
- Physiology 408
- Cellular and Molecular Neuroscience 226
- Developmental Neuroscience 33
- Neurology 66
- Molecular Biology 446
Countries citing papers authored by Karin Müllendorff
This map shows the geographic impact of Karin Müllendorff'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 Müllendorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Müllendorff more than expected).
Fields of papers citing papers by Karin Müllendorff
This network shows the impact of papers produced by Karin Müllendorff. 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 Müllendorff. The network helps show where Karin Müllendorff may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Müllendorff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 209 | |
| 2 | 2004 | 186 | |
| 3 | 2008 | 131 | |
| 4 | 2004 | 110 | |
| 5 | 2005 | 107 | |
| 6 | 2016 | 52 | |
| 7 | 2021 | 17 | |
| 8 | 2014 | 13 |
About Karin Müllendorff
Karin Müllendorff is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Genetics, having authored 8 papers that have together received 825 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (2 papers), Nuclear Receptors and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Physiology (408 citations), Cellular and Molecular Neuroscience (226 citations), Developmental Neuroscience (33 citations), Neurology (66 citations) and Molecular Biology (446 citations). Karin Müllendorff has collaborated with scholars based in United States, Chile and Germany. Frequent co-authors include Yadong Huang, Robert W. Mahley, Alejandra Álvarez, Miguel Bronfman, Nibaldo C. Inestrosa, Gonzalo H. Olivares, Juan A. Godoy, Liming Dong, Elaine C. Meng and Fred E. Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Neuroscience, Experimental Cell Research and eLife.
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.