Dawid Eckert
Impact in
-
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- Renal and related cancers
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
-
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in ⓘ
-
- Epigenetics and DNA Methylation 5
- Renal and related cancers 2
- Bioinformatics and Genomic Networks 1
- Cancer-related gene regulation 1
- Glutathione Transferases and Polymorphisms 1
- Surgery 3
- Testicular diseases and treatments 3
- Co-authors
- Hubert Schorle (7 shared papers)Susanne N. Weber (4 shared papers)Richard Jäger (2 shared papers)Daniel Nettersheim (4 shared papers)Leendert H. J. Looijenga (2 shared papers)Katharina Biermann (2 shared papers)Ad Gillis (2 shared papers)Sabine Schäfer (3 shared papers)
- Journals
- PLoS ONE (2 papers)BMC Developmental Biology (1 paper)Biology of Reproduction (1 paper)Hepatology (1 paper)BMC Cancer (1 paper)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Dawid Eckert
7 papers receiving 650 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 520
- Genetics 150
- Reproductive Medicine 43
- Aging 8
- Cancer Research 55
Countries citing papers authored by Dawid Eckert
This map shows the geographic impact of Dawid Eckert'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 Dawid Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawid Eckert more than expected).
Fields of papers citing papers by Dawid Eckert
This network shows the impact of papers produced by Dawid Eckert. 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 Dawid Eckert. The network helps show where Dawid Eckert may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawid Eckert, 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 | 2005 | 335 | |
| 2 | 2009 | 154 | |
| 3 | 2008 | 94 | |
| 4 | 2013 | 36 | |
| 5 | 2010 | 18 | |
| 6 | 2008 | 13 | |
| 7 | 2013 | 5 |
About Dawid Eckert
Dawid Eckert is a scholar working on Molecular Biology, Surgery, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 7 papers that have together received 655 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Testicular diseases and treatments (3 papers), Renal and related cancers (2 papers), CAR-T cell therapy research (1 paper), Bioinformatics and Genomic Networks (1 paper), Cancer-related gene regulation (1 paper), Estrogen and related hormone effects (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Molecular Biology (520 citations), Genetics (150 citations), Reproductive Medicine (43 citations), Aging (8 citations) and Cancer Research (55 citations). Dawid Eckert has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Hubert Schorle, Susanne N. Weber, Richard Jäger, Daniel Nettersheim, Leendert H. J. Looijenga, Katharina Biermann, Ad Gillis, Sabine Schäfer, Uwe Werling and Peter Kuckenberg. Their work appears in journals such as PLoS ONE, BMC Developmental Biology, Biology of Reproduction, Hepatology and BMC Cancer.
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.