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
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Developmental Biology and Gene Regulation
- Bioinformatics and Genomic Networks
Papers in ⓘ
- Aging 1
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- Martha L. Bulyk (5 shared papers)Anthony Philippakis (3 shared papers)Savina Jaeger (2 shared papers)Shaheynoor Talukder (2 shared papers)Esther T. Chan (2 shared papers)Andrew R. Gehrke (2 shared papers)Timothy R. Hughes (2 shared papers)Quaid Morris (2 shared papers)
- Journals
- Genome Research (4 papers)Nucleic Acids Research (3 papers)Cell (2 papers)Science (1 paper)Annals of Neurology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniel E. Newburger
15 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Aging 116
- Molecular Biology 2.1k
- Genetics 365
- Cancer Research 192
- Plant Science 231
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 | 761 |
| 2 | 2008 | 487 | |
| 3 | 2009 | 322 | |
| 4 | 2008 | 284 | |
| 5 | 2009 | 205 | |
| 6 | 2004 | 102 | |
| 7 | 2013 | 80 | |
| 8 | 2015 | 36 | |
| 9 | 2007 | 20 | |
| 10 | 2011 | 14 | |
| 11 | 2013 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2011 | 11 | |
| 14 | 2017 | 3 | |
| 15 | 2011 | 2 |
About Daniel E. Newburger
Daniel E. Newburger is a scholar working on Aging, Cancer Research, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (6 papers), Genomics and Chromatin Dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (3 papers), Genomics and Rare Diseases (3 papers), Genetic factors in colorectal cancer (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Aging (116 citations), Molecular Biology (2.1k citations), Genetics (365 citations), Cancer Research (192 citations) and Plant Science (231 citations). Daniel E. Newburger has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Martha L. Bulyk, Anthony Philippakis, Savina Jaeger, Shaheynoor Talukder, Esther T. Chan, Andrew R. Gehrke, Timothy R. Hughes, Quaid Morris, Gwenaël Badis and Federico De Masi. Their work appears in journals such as Genome Research, Nucleic Acids Research, Cell, Science and Annals of Neurology.
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.