Kyle P. Eagen
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Plant Science top 10%
- Chromosomal and Genetic Variations
Papers in
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- Genomics and Chromatin Dynamics 8
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 2
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- Chromosomal and Genetic Variations 3
- Co-authors
- Roger D. Kornberg (3 shared papers)Erez Lieberman Aiden (1 shared paper)Tom A. Hartl (1 shared paper)Christopher A. French (2 shared papers)Bruce Ganem (1 shared paper)George P. Hess (1 shared paper)Celeste Rosencrance (3 shared papers)Qi Yu (1 shared paper)
- Journals
- Trends in Biochemical Sciences (2 papers)Proceedings of the National Academy of Sciences (2 papers)The EMBO Journal (1 paper)Journal of Molecular Biology (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Kyle P. Eagen
12 papers receiving 628 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 556
- Plant Science 180
- Hematology 27
- Cancer Research 33
- Genetics 60
Countries citing papers authored by Kyle P. Eagen
This map shows the geographic impact of Kyle P. Eagen'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 Kyle P. Eagen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle P. Eagen more than expected).
Fields of papers citing papers by Kyle P. Eagen
This network shows the impact of papers produced by Kyle P. Eagen. 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 Kyle P. Eagen. The network helps show where Kyle P. Eagen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle P. Eagen, 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 | 2017 | 119 | |
| 2 | 2015 | 106 | |
| 3 | 2018 | 76 | |
| 4 | 2020 | 72 | |
| 5 | 2010 | 66 | |
| 6 | 2020 | 57 | |
| 7 | 2021 | 47 | |
| 8 | 2017 | 37 | |
| 9 | 2007 | 30 | |
| 10 | 2021 | 16 | |
| 11 | 2023 | 11 | |
| 12 | 2019 | 3 |
About Kyle P. Eagen
Kyle P. Eagen is a scholar working on Molecular Biology, Plant Science, Hematology, Genetics and Food Science, having authored 12 papers that have together received 640 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Protein Degradation and Inhibitors (3 papers), Chromosomal and Genetic Variations (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Multiple Myeloma Research and Treatments (2 papers), Ubiquitin and proteasome pathways (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Molecular Biology (556 citations), Plant Science (180 citations), Hematology (27 citations), Cancer Research (33 citations) and Genetics (60 citations). Kyle P. Eagen has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Roger D. Kornberg, Erez Lieberman Aiden, Tom A. Hartl, Christopher A. French, Bruce Ganem, George P. Hess, Celeste Rosencrance, Qi Yu, Stacy A. Marshall and Emily J. Rendleman. Their work appears in journals such as Trends in Biochemical Sciences, Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Molecular Biology and Genome biology.
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.