Ghia Euskirchen
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Genomics and Chromatin Dynamics 15
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 5
- Epigenetics and DNA Methylation 3
- Gene expression and cancer classification 2
- Genetics 6
- Co-authors
- Douglas C. Prasher (1 shared paper)William W. Ward (1 shared paper)Martin Chalfie (1 shared paper)Yuan Tu (1 shared paper)M Snyder (28 shared papers)Mark Gerstein (10 shared papers)Raymond K. Auerbach (5 shared papers)Joel Rozowsky (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Genome Research (4 papers)Nucleic Acids Research (2 papers)Nature Biotechnology (2 papers)Science (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Ghia Euskirchen
33 papers receiving 10.3k citations
Ghia Euskirchen's Hit Papers
Peers
Comparison fields: 5 of 173
- Aging 591
- Biophysics 1.7k
- Molecular Biology 7.5k
- Genetics 1.7k
- Structural Biology 94
Countries citing papers authored by Ghia Euskirchen
This map shows the geographic impact of Ghia Euskirchen'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 Ghia Euskirchen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghia Euskirchen more than expected).
Fields of papers citing papers by Ghia Euskirchen
This network shows the impact of papers produced by Ghia Euskirchen. 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 Ghia Euskirchen. The network helps show where Ghia Euskirchen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ghia Euskirchen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Green Fluorescent Protein as a Marker for Gene Expression Hit paper breakdown → | 1994 | 5521 |
| 2 | Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing Hit paper breakdown → | 2007 | 1086 |
| 3 | 2009 | 435 | |
| 4 | 2011 | 369 | |
| 5 | 2009 | 296 | |
| 6 | 2003 | 274 | |
| 7 | 2003 | 244 | |
| 8 | 2015 | 224 | |
| 9 | 2010 | 184 | |
| 10 | 2011 | 183 | |
| 11 | 2007 | 165 | |
| 12 | 2009 | 156 | |
| 13 | 2013 | 154 | |
| 14 | 2012 | 150 | |
| 15 | 2004 | 148 | |
| 16 | 2008 | 147 | |
| 17 | 2010 | 144 | |
| 18 | 2009 | 134 | |
| 19 | 2014 | 100 | |
| 20 | 2016 | 94 |
About Ghia Euskirchen
Ghia Euskirchen is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 33 papers that have together received 10.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (5 papers), Immune Cell Function and Interaction (3 papers), Epigenetics and DNA Methylation (3 papers), Gene expression and cancer classification (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Aging (591 citations), Biophysics (1.7k citations), Molecular Biology (7.5k citations), Genetics (1.7k citations) and Structural Biology (94 citations). Ghia Euskirchen has collaborated with scholars based in United States, France and China. Frequent co-authors include Douglas C. Prasher, William W. Ward, Martin Chalfie, Yuan Tu, M Snyder, Mark Gerstein, Raymond K. Auerbach, Joel Rozowsky, Sherman M. Weissman and Yongjun Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Research, Nucleic Acids Research, Nature Biotechnology and Science.
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.