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
- Gene expression and cancer classification 1
- CRISPR and Genetic Engineering 1
- RNA Research and Splicing 1
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- Chromosomal and Genetic Variations 2
- Co-authors
- Martin Vingron (1 shared paper)Robert Schöpflin (1 shared paper)Guillaume Andrey (1 shared paper)Lars Wittler (1 shared paper)Andreas Magg (1 shared paper)Alexandra Despang (1 shared paper)Rocío Acuña‐Hidalgo (1 shared paper)Stefan Mundlos (1 shared paper)
- Journals
- Bioinformatics (1 paper)Molecular Systems Biology (1 paper)Radiotherapy and Oncology (1 paper)Nature Cell Biology (1 paper)PubMed (1 paper)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Julia Markowski
4 papers receiving 138 citations
Peers
Comparison fields: 5 of 27
- Molecular Biology 96
- Immunology 27
- Cancer Research 16
- Genetics 25
- Plant Science 28
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 | 101 | |
| 2 | Toll-like receptors and the tendency of normal mucous membrane to transform to polyp or colorectal cancer. | 2009 | 32 |
| 3 | 2021 | 5 | |
| 4 | 2007 | 1 | |
| 5 | 2025 | 0 |
About Julia Markowski
Julia Markowski is a scholar working on Molecular Biology, Plant Science, Epidemiology, Immunology and Cancer Research, having authored 5 papers that have together received 139 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (2 papers), NF-κB Signaling Pathways (1 paper), Gene expression and cancer classification (1 paper), Mycobacterium research and diagnosis (1 paper), Immune Response and Inflammation (1 paper), CRISPR and Genetic Engineering (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (96 citations), Immunology (27 citations), Cancer Research (16 citations), Genetics (25 citations) and Plant Science (28 citations). Julia Markowski has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Martin Vingron, Robert Schöpflin, Guillaume Andrey, Lars Wittler, Andreas Magg, Alexandra Despang, Rocío Acuña‐Hidalgo, Stefan Mundlos, Bernd Timmermann and Daniel M. Ibrahim. Their work appears in journals such as Bioinformatics, Molecular Systems Biology, Radiotherapy and Oncology, Nature Cell 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.