Daniel E. Newburger
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- RNA modifications and cancer
Papers in
- Genetics 5
- Genomics and Rare Diseases 3
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Martha L. Bulyk (4 shared papers)Anthony Philippakis (2 shared papers)Timothy R. Hughes (2 shared papers)Savina A. Jaeger (2 shared papers)Quaid Morris (2 shared papers)Shaheynoor Talukder (2 shared papers)Esther T. Chan (2 shared papers)Andrew R. Gehrke (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Cell (2 papers)Journal of Computational Biology (1 paper)Annals of Neurology (1 paper)Science (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniel E. Newburger
13 papers receiving 1.9k citations
Daniel E. Newburger's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 103
- Molecular Biology 1.6k
- Genetics 291
- Cancer Research 109
- Endocrine and Autonomic Systems 35
Countries citing papers authored by Daniel E. Newburger
This map shows the geographic impact of Daniel E. Newburger'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. Newburger 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. Newburger more than expected).
Fields of papers citing papers by Daniel E. Newburger
This network shows the impact of papers produced by Daniel E. Newburger. 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. Newburger. The network helps show where Daniel E. Newburger may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Newburger, 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 | Diversity and Complexity in DNA Recognition by Transcription Factors Hit paper breakdown → | 2009 | 783 |
| 2 | 2008 | 486 | |
| 3 | 2008 | 294 | |
| 4 | 2009 | 212 | |
| 5 | 2004 | 120 | |
| 6 | 2013 | 20 | |
| 7 | 2015 | 14 | |
| 8 | 2011 | 14 | |
| 9 | 2011 | 11 | |
| 10 | 2015 | 5 | |
| 11 | 2017 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2013 | 2 |
About Daniel E. Newburger
Daniel E. Newburger is a scholar working on Genetics, Cancer Research, Molecular Biology, Aging and Insect Science, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Chromatin Dynamics (2 papers) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Aging (103 citations), Molecular Biology (1.6k citations), Genetics (291 citations), Cancer Research (109 citations) and Endocrine and Autonomic Systems (35 citations). Daniel E. Newburger has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Martha L. Bulyk, Anthony Philippakis, Timothy R. Hughes, Savina A. Jaeger, Quaid Morris, Shaheynoor Talukder, Esther T. Chan, Andrew R. Gehrke, Gwenaël Badis and Genita Metzler. Their work appears in journals such as Nucleic Acids Research, Cell, Journal of Computational Biology, Annals of Neurology and Science.
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.