Ghia Euskirchen

31.4k citations
33 papers · 10.0k indexed · 2 hit papers · h-index 27

Impact in

  • Aging top 0.2%
  • Biophysics top 0.05%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Genomics and Chromatin Dynamics 17
    • RNA Research and Splicing 10
    • CRISPR and Genetic Engineering 6
    • RNA and protein synthesis mechanisms 6
    • Epigenetics and DNA Methylation 3
    • Pluripotent Stem Cells Research 2

Ghia Euskirchen

33 papers receiving 9.7k citations

Hit Papers

Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing 2007 · 1.0k citations
1.0k199420262004201510002.0k3.0k4.0k5.0k

Peers

Ghia Euskirchen
Comparison fields: 5 of 169
  • Aging 564
  • Biophysics 1.6k
  • Molecular Biology 7.4k
  • Genetics 1.8k
  • Structural Biology 77
Replace Robert P. J. Barretto with:
Robert P. J. Barretto United States
Yuan Tu United States
Douglas C. Prasher United States
Hiroshi Kimurâ Japan
Rong Li United States
Luke A. Gilbert United States
Tom K. Kerppola United States
William W. Ward United States
Keith V. Wood United States
Matthias Peter Switzerland
Ghia Euskirchen relative to Robert P. J. Barretto United States Robert P. J. Barretto's profile →
Citations per field
00.5×3.9×
Robert P. J. Barretto · 1×
Citations per year

Countries citing papers authored by Ghia Euskirchen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ghia Euskirchen Line = papers co-authored together Ghia Euskirchen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201745
2 201693
3 201634
4 201515
5 2015212
6 201497
7 2012142
8 2011176
9 2010136
10 2010176
11 2009128
12 2009405
13 2009287
14 2008139
15 200750
16 2007160
17
Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing
Hit paper breakdown →
20071023
18 2004140
19 200413
20 2003232

About Ghia Euskirchen

Ghia Euskirchen is a scholar working on Aging, Molecular Biology, Cancer Research, Immunology and Genetics, having authored 33 papers that have together received 10.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (10 papers), CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (6 papers), Epigenetics and DNA Methylation (3 papers), Immune Cell Function and Interaction (3 papers), interferon and immune responses (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (564 citations), Biophysics (1.6k citations), Molecular Biology (7.4k citations), Genetics (1.8k citations) and Structural Biology (77 citations). Ghia Euskirchen has collaborated with scholars based in United States, France and China. Frequent co-authors include Martin Chalfie, William W. Ward, Yuan Tu, Douglas C. Prasher, M Snyder, Mark Gerstein, Raymond K. Auerbach, Joel Rozowsky, Sherman M. Weissman and Steven J.M. Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Research, Nature Biotechnology, Science and Nucleic Acids Research.

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.

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