Daniel Eiler
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Chemical Synthesis and Analysis
- DNA and Nucleic Acid Chemistry
Papers in
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- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 5
- Advanced biosensing and bioanalysis techniques 2
- Biochemical and Molecular Research 2
- Signaling Pathways in Disease 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Thomas A. Steitz (4 shared papers)Dieter Söll (3 shared papers)Akiyoshi Nakamura (3 shared papers)Jimin Wang (1 shared paper)Patrick O’Donoghue (2 shared papers)Yane‐Shih Wang (2 shared papers)Jeffrey S. Kieft (3 shared papers)Laura L. Kiessling (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (2 papers)Angewandte Chemie International Edition (1 paper)Chemical Communications (1 paper)Structure (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Daniel Eiler
14 papers receiving 431 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 398
- Structural Biology 4
- Genetics 54
- Ecology 30
- Organic Chemistry 31
Countries citing papers authored by Daniel Eiler
This map shows the geographic impact of Daniel Eiler'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 Eiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eiler more than expected).
Fields of papers citing papers by Daniel Eiler
This network shows the impact of papers produced by Daniel Eiler. 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 Eiler. The network helps show where Daniel Eiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Eiler, 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 | 2014 | 102 | |
| 2 | 2014 | 62 | |
| 3 | 2019 | 49 | |
| 4 | 2013 | 47 | |
| 5 | 2011 | 39 | |
| 6 | 2005 | 30 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 2010 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2007 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2020 | 1 |
About Daniel Eiler
Daniel Eiler is a scholar working on Molecular Biology, Oncology, Ecology, Materials Chemistry and Infectious Diseases, having authored 14 papers that have together received 434 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Biochemical and Molecular Research (2 papers), Bacteriophages and microbial interactions (2 papers), Enzyme Structure and Function (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Molecular Biology (398 citations), Structural Biology (4 citations), Genetics (54 citations), Ecology (30 citations) and Organic Chemistry (31 citations). Daniel Eiler has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Thomas A. Steitz, Dieter Söll, Akiyoshi Nakamura, Jimin Wang, Patrick O’Donoghue, Yane‐Shih Wang, Jeffrey S. Kieft, Laura L. Kiessling, Jennifer M. Kavran and Angelita Simonetti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Angewandte Chemie International Edition, Chemical Communications and Structure.
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.