Anna Sawicka
Impact in
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- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- RNA Research and Splicing
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
Papers in
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- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 5
- RNA modifications and cancer 5
- Histone Deacetylase Inhibitors Research 4
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Genetics 3
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Christian Seiser (10 shared papers)Astrid Hagelkrüys (4 shared papers)Elisabeth Simboeck (3 shared papers)Philipp A. Steffen (1 shared paper)James Lu (1 shared paper)Patrick Cramer (2 shared papers)Michael Lidschreiber (2 shared papers)Stefan C. Müller (1 shared paper)
- Journals
- PLoS Genetics (3 papers)Biochimie (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Genome Research (1 paper)Genes & Development (1 paper)
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Anna Sawicka
12 papers receiving 674 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 562
- Aging 11
- Cancer Research 48
- Cell Biology 46
- Genetics 72
Countries citing papers authored by Anna Sawicka
This map shows the geographic impact of Anna Sawicka'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 Anna Sawicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Sawicka more than expected).
Fields of papers citing papers by Anna Sawicka
This network shows the impact of papers produced by Anna Sawicka. 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 Anna Sawicka. The network helps show where Anna Sawicka may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Sawicka, 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 | 2012 | 174 | |
| 2 | 2011 | 94 | |
| 3 | 2014 | 88 | |
| 4 | 2012 | 57 | |
| 5 | 2010 | 55 | |
| 6 | 2021 | 54 | |
| 7 | 2014 | 53 | |
| 8 | 2010 | 52 | |
| 9 | 2012 | 18 | |
| 10 | 2015 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2011 | 4 |
About Anna Sawicka
Anna Sawicka is a scholar working on Molecular Biology, Genetics, Plant Science, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 12 papers that have together received 682 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA modifications and cancer (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Protein Degradation and Inhibitors (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Molecular Biology (562 citations), Aging (11 citations), Cancer Research (48 citations), Cell Biology (46 citations) and Genetics (72 citations). Anna Sawicka has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Christian Seiser, Astrid Hagelkrüys, Elisabeth Simboeck, Philipp A. Steffen, James Lu, Patrick Cramer, Michael Lidschreiber, Stefan C. Müller, Leonie Ringrose and Björn Schwalb. Their work appears in journals such as PLoS Genetics, Biochimie, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Genome Research and Genes & Development.
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.