Eric Rynes
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in ⓘ
- Genetics 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Hemoglobinopathies and Related Disorders 1
-
- Blood groups and transfusion 1
- Co-authors
- J Stamatoyannopoulos (5 shared papers)Alex Reynolds (4 shared papers)Richard Sandstrom (4 shared papers)Robert E. Thurman (2 shared papers)Eric Haugen (4 shared papers)Audra Johnson (3 shared papers)Jeff Vierstra (3 shared papers)Matthew T. Maurano (1 shared paper)
- Journals
- Nature (3 papers)Bioinformatics (1 paper)British Journal of Haematology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesNorwayCroatia
In The Last Decade
Eric Rynes
9 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 317
- Molecular Biology 1.1k
- Genetics 343
- Aging 20
- Ecology 132
Countries citing papers authored by Eric Rynes
This map shows the geographic impact of Eric Rynes'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 Rynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Rynes more than expected).
Fields of papers citing papers by Eric Rynes
This network shows the impact of papers produced by Eric Rynes. 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 Rynes. The network helps show where Eric Rynes may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Rynes, 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 | BEDOPS: high-performance genomic feature operations Hit paper breakdown → | 2012 | 635 |
| 2 | 2015 | 364 | |
| 3 | 2020 | 186 | |
| 4 | 2020 | 155 | |
| 5 | 2007 | 117 | |
| 6 | 1993 | 19 | |
| 7 | 2013 | 17 | |
| 8 | 2011 | 10 | |
| 9 | 2022 | 8 |
About Eric Rynes
Eric Rynes is a scholar working on Genetics, Hematology, Oceanography, Nuclear and High Energy Physics and Physiology, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Blood groups and transfusion (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (317 citations), Molecular Biology (1.1k citations), Genetics (343 citations), Aging (20 citations) and Ecology (132 citations). Eric Rynes has collaborated with scholars based in United States, Norway and Croatia. Frequent co-authors include J Stamatoyannopoulos, Alex Reynolds, Richard Sandstrom, Robert E. Thurman, Eric Haugen, Audra Johnson, Jeff Vierstra, Matthew T. Maurano, Michael S. Kuehn and Richard Humbert. Their work appears in journals such as Nature, Bioinformatics, British Journal of Haematology, Proceedings of the National Academy of Sciences and Biophysical Journal.
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.