Julia Markowski
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
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- Immune Response and Inflammation
Papers in
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- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 1
- CRISPR and Genetic Engineering 1
- Gene expression and cancer classification 1
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- Chromosomal and Genetic Variations 3
- Co-authors
- Stefan Mundlos (1 shared paper)Bernd Timmermann (1 shared paper)Verena Heinrich (1 shared paper)Daniel M. Ibrahim (1 shared paper)Katerina Kraft (1 shared paper)Andreas Magg (1 shared paper)Robert Schöpflin (1 shared paper)Alexandra Despang (1 shared paper)
- Journals
- Nature Cell Biology (1 paper)Radiotherapy and Oncology (1 paper)Bioinformatics (1 paper)Molecular Systems Biology (1 paper)PubMed (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Julia Markowski
4 papers receiving 131 citations
Peers
Comparison fields: 5 of 29
- Molecular Biology 97
- Immunology 25
- Cancer Research 17
- Genetics 27
- Plant Science 30
Countries citing papers authored by Julia Markowski
This map shows the geographic impact of Julia Markowski'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 Julia Markowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Markowski more than expected).
Fields of papers citing papers by Julia Markowski
This network shows the impact of papers produced by Julia Markowski. 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 Julia Markowski. The network helps show where Julia Markowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Markowski, 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 | 2019 | 96 | |
| 2 | Toll-like receptors and the tendency of normal mucous membrane to transform to polyp or colorectal cancer. | 2009 | 31 |
| 3 | 2021 | 4 | |
| 4 | 2007 | 1 | |
| 5 | 2025 | 0 |
About Julia Markowski
Julia Markowski is a scholar working on Molecular Biology, Plant Science, Epidemiology, Genetics and Immunology, having authored 5 papers that have together received 132 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers), NF-κB Signaling Pathways (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), RNA Research and Splicing (1 paper), CRISPR and Genetic Engineering (1 paper), Gene expression and cancer classification (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Molecular Biology (97 citations), Immunology (25 citations), Cancer Research (17 citations), Genetics (27 citations) and Plant Science (30 citations). Julia Markowski has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Stefan Mundlos, Bernd Timmermann, Verena Heinrich, Daniel M. Ibrahim, Katerina Kraft, Andreas Magg, Robert Schöpflin, Alexandra Despang, Rocío Acuña‐Hidalgo and Guillaume Andrey. Their work appears in journals such as Nature Cell Biology, Radiotherapy and Oncology, Bioinformatics, Molecular Systems Biology and PubMed.
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.