Daniel E. Eyler
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Polyamine Metabolism and Applications
- CRISPR and Genetic Engineering
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- Aging top 10%
Papers in
-
- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 8
- RNA Research and Splicing 8
- Chemical Synthesis and Analysis 3
- Polyamine Metabolism and Applications 2
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
- Co-authors
- Rachel Green (8 shared papers)Christopher J. Shoemaker (1 shared paper)Thomas Dever (2 shared papers)Preeti Saini (2 shared papers)Yongjun Dang (2 shared papers)Tilman Schneider‐Poetsch (2 shared papers)Jun O. Liu (2 shared papers)Shridhar Bhat (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)RNA (2 papers)Nature Communications (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel E. Eyler
15 papers receiving 1.9k citations
Daniel E. Eyler's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.7k
- Aging 19
- Cancer Research 146
- Biochemistry 75
- Cell Biology 105
Countries citing papers authored by Daniel E. Eyler
This map shows the geographic impact of Daniel E. Eyler'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 Daniel E. Eyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Eyler more than expected).
Fields of papers citing papers by Daniel E. Eyler
This network shows the impact of papers produced by Daniel E. Eyler. 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 Daniel E. Eyler. The network helps show where Daniel E. Eyler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Eyler, 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 | Inhibition of eukaryotic translation elongation by cycloheximide and lactimidomycin Hit paper breakdown → | 2010 | 733 |
| 2 | 2009 | 338 | |
| 3 | 2010 | 257 | |
| 4 | 2006 | 216 | |
| 5 | 2019 | 163 | |
| 6 | 2014 | 104 | |
| 7 | 2013 | 35 | |
| 8 | 2011 | 31 | |
| 9 | 2024 | 29 | |
| 10 | 2011 | 21 | |
| 11 | 2024 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2010 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2026 | 0 |
About Daniel E. Eyler
Daniel E. Eyler is a scholar working on Molecular Biology, Pharmacology, Genetics, Microbiology and Immunology, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (8 papers), Chemical Synthesis and Analysis (3 papers), Polyamine Metabolism and Applications (2 papers), DNA Repair Mechanisms (2 papers), Fungal and yeast genetics research (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Molecular Biology (1.7k citations), Aging (19 citations), Cancer Research (146 citations), Biochemistry (75 citations) and Cell Biology (105 citations). Daniel E. Eyler has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rachel Green, Christopher J. Shoemaker, Thomas Dever, Preeti Saini, Yongjun Dang, Tilman Schneider‐Poetsch, Jun O. Liu, Shridhar Bhat, William C. Merrick and Jianhua Ju. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, RNA, Nature Communications and Molecular Cell.
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.