Daniel E. Newburger
Impact in
- Aging top 2%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
- RNA modifications and cancer
Papers in
-
- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- Gene expression and cancer classification 2
- Genetics 5
- Genomics and Rare Diseases 3
- Genetic diversity and population structure 1
- Co-authors
- Martha L. Bulyk (5 shared papers)Anthony Philippakis (3 shared papers)Andrew R. Gehrke (2 shared papers)Esther T. Chan (2 shared papers)Shaheynoor Talukder (2 shared papers)Gwenaël Badis (2 shared papers)Quaid Morris (2 shared papers)Savina Jaeger (2 shared papers)
- Journals
- Genome Research (4 papers)Nucleic Acids Research (3 papers)Cell (2 papers)Journal of Computational Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniel E. Newburger
15 papers receiving 2.3k citations
Daniel E. Newburger's Hit Papers
Peers
Comparison fields: 5 of 96
- Aging 112
- Molecular Biology 2.0k
- Genetics 328
- Cancer Research 165
- Plant Science 222
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 | 764 |
| 2 | 2008 | 489 | |
| 3 | 2009 | 324 | |
| 4 | 2008 | 287 | |
| 5 | 2009 | 206 | |
| 6 | 2004 | 102 | |
| 7 | 2013 | 81 | |
| 8 | 2015 | 37 | |
| 9 | 2007 | 20 | |
| 10 | 2015 | 14 | |
| 11 | 2011 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2011 | 11 | |
| 14 | 2017 | 3 | |
| 15 | 2011 | 2 |
About Daniel E. Newburger
Daniel E. Newburger is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Aging (112 citations), Molecular Biology (2.0k citations), Genetics (328 citations), Cancer Research (165 citations) and Plant Science (222 citations). Daniel E. Newburger has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Martha L. Bulyk, Anthony Philippakis, Andrew R. Gehrke, Esther T. Chan, Shaheynoor Talukder, Gwenaël Badis, Quaid Morris, Savina Jaeger, Timothy R. Hughes and Federico De Masi. Their work appears in journals such as Genome Research, Nucleic Acids Research, Cell, Journal of Computational Biology and PLoS ONE.
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.