Eric D. Rubio
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Genetics top 10%
Papers in
-
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Gene expression and cancer classification 1
- Surgery 2
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Anton Krumm (6 shared papers)Rebecca R. Selzer (1 shared paper)Chad Nusbaum (1 shared paper)Job Dekker (1 shared paper)Justin Lamb (1 shared paper)Ramy Arnaout (1 shared paper)Josée Dostie (1 shared paper)Roland D. Green (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Molecular and Cellular Biology (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesSwitzerlandIreland
In The Last Decade
Eric D. Rubio
8 papers receiving 1.5k citations
Eric D. Rubio's Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 1.3k
- Genetics 253
- Plant Science 337
- Cancer Research 85
- Immunology 92
Countries citing papers authored by Eric D. Rubio
This map shows the geographic impact of Eric D. Rubio'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 Eric D. Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Rubio more than expected).
Fields of papers citing papers by Eric D. Rubio
This network shows the impact of papers produced by Eric D. Rubio. 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 Eric D. Rubio. The network helps show where Eric D. Rubio may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Rubio, 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 | Chromosome Conformation Capture Carbon Copy (5C): A massively parallel solution for mapping interactions between genomic elements Hit paper breakdown → | 2006 | 863 |
| 2 | 2008 | 391 | |
| 3 | 2005 | 74 | |
| 4 | 2003 | 66 | |
| 5 | 2004 | 49 | |
| 6 | 2002 | 45 | |
| 7 | 2011 | 9 | |
| 8 | 2007 | 6 |
About Eric D. Rubio
Eric D. Rubio is a scholar working on Molecular Biology, Surgery, Genetics, Pathology and Forensic Medicine and Urology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cancer Mechanisms and Therapy (1 paper), Gene expression and cancer classification (1 paper), Genetic Syndromes and Imprinting (1 paper), Urological Disorders and Treatments (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Genetics (253 citations), Plant Science (337 citations), Cancer Research (85 citations) and Immunology (92 citations). Eric D. Rubio has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Anton Krumm, Rebecca R. Selzer, Chad Nusbaum, Job Dekker, Justin Lamb, Ramy Arnaout, Josée Dostie, Roland D. Green, Todd Richmond and Piri Welcsh. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, American Journal of Physiology-Renal Physiology, Molecular and Cellular Biology and Genome 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.