Ewa Stypulkowski
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- Glycosylation and Glycoproteins Research 2
- Advanced biosensing and bioanalysis techniques 1
- Machine Learning in Bioinformatics 1
- Genetics 2
- Genetic and Kidney Cyst Diseases 1
- Co-authors
- Eric S. Witze (3 shared papers)Nan Gao (6 shared papers)Ryotaro Sakamori (6 shared papers)Shiyan Yu (6 shared papers)Xing-Jun Cao (1 shared paper)Benjamin A. García (1 shared paper)Kristin B. Runkle (2 shared papers)Akriti Kharbanda (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The EMBO Journal (1 paper)Development (1 paper)Journal of Clinical Investigation (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Ewa Stypulkowski
9 papers receiving 461 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 125
- Molecular Biology 317
- Cancer Research 63
- Oncology 99
- Genetics 82
Countries citing papers authored by Ewa Stypulkowski
This map shows the geographic impact of Ewa Stypulkowski'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 Ewa Stypulkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Stypulkowski more than expected).
Fields of papers citing papers by Ewa Stypulkowski
This network shows the impact of papers produced by Ewa Stypulkowski. 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 Ewa Stypulkowski. The network helps show where Ewa Stypulkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewa Stypulkowski, 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 | 2016 | 168 | |
| 2 | 2012 | 87 | |
| 3 | 2014 | 57 | |
| 4 | 2012 | 45 | |
| 5 | 2015 | 42 | |
| 6 | 2014 | 36 | |
| 7 | 2018 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2014 | 1 |
About Ewa Stypulkowski
Ewa Stypulkowski is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers), Glycosylation and Glycoproteins Research (2 papers), Pancreatic function and diabetes (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Cell Biology (125 citations), Molecular Biology (317 citations), Cancer Research (63 citations), Oncology (99 citations) and Genetics (82 citations). Ewa Stypulkowski has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Eric S. Witze, Nan Gao, Ryotaro Sakamori, Shiyan Yu, Xing-Jun Cao, Benjamin A. García, Kristin B. Runkle, Akriti Kharbanda, Wei Wang and Soumyashree Das. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Development, Journal of Clinical Investigation and Molecular Cell.
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.