Ewald Münstermann
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
Papers in
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- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Circular RNAs in diseases 2
- Genetics 4
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Stefan Wiemann (5 shared papers)Cindy Körner (2 shared papers)Ioanna Keklikoglou (2 shared papers)Christian Bender (1 shared paper)Annemarie Poustka (7 shared papers)Heike Wilhelm (2 shared papers)Christian Breunig (2 shared papers)Rainer Will (2 shared papers)
- Journals
- Genomics (2 papers)Molecular Oncology (1 paper)BMC Genomics (1 paper)Molecular Biology and Evolution (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Ewald Münstermann
11 papers receiving 499 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 262
- Molecular Biology 387
- Genetics 84
- Cognitive Neuroscience 45
- Oncology 49
Countries citing papers authored by Ewald Münstermann
This map shows the geographic impact of Ewald Münstermann'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 Ewald Münstermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewald Münstermann more than expected).
Fields of papers citing papers by Ewald Münstermann
This network shows the impact of papers produced by Ewald Münstermann. 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 Ewald Münstermann. The network helps show where Ewald Münstermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewald Münstermann, 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 | 2013 | 122 | |
| 2 | 2015 | 78 | |
| 3 | 2016 | 77 | |
| 4 | 2017 | 65 | |
| 5 | Candidate genes for cross-resistance against DNA-damaging drugs. | 2002 | 57 |
| 6 | 1997 | 36 | |
| 7 | 1999 | 28 | |
| 8 | 2006 | 21 | |
| 9 | Point mutation analysis of the FMR-1 gene in autism. | 1996 | 16 |
| 10 | 1999 | 10 | |
| 11 | 1998 | 1 |
About Ewald Münstermann
Ewald Münstermann is a scholar working on Molecular Biology, Genetics, Cancer Research, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 511 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Autism Spectrum Disorder Research (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (262 citations), Molecular Biology (387 citations), Genetics (84 citations), Cognitive Neuroscience (45 citations) and Oncology (49 citations). Ewald Münstermann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stefan Wiemann, Cindy Körner, Ioanna Keklikoglou, Christian Bender, Annemarie Poustka, Heike Wilhelm, Christian Breunig, Rainer Will, Omar Salem and Zdeněk Sedláček. Their work appears in journals such as Genomics, Molecular Oncology, BMC Genomics, Molecular Biology and Evolution and Journal of Biological Chemistry.
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.