Daniel E. Newburger

3.2k citations
15 papers · 2.4k indexed · 1 hit paper · h-index 12

Impact in

  • Aging top 2%
    • 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

Daniel E. Newburger

15 papers receiving 2.3k citations

Hit Papers

Diversity and Complexity in DNA Recognition by Transcription Factors 2009 · 761 citations
7612009202620142020250500750

Peers

Daniel E. Newburger
Comparison fields: 5 of 100
  • Aging 116
  • Molecular Biology 2.1k
  • Genetics 365
  • Cancer Research 192
  • Plant Science 231
Replace Aaron C. Goldstrohm with:
Aaron C. Goldstrohm United States
Ivan V. Kulakovskiy Russia
Shaheynoor Talukder Canada
Srividya Bhaskara United States
Gwenaël Badis France
Jennifer L. Bachorik United States
Liana F. Lareau United States
John T. Lis United States
Eric L. Van Nostrand United States
Tatiana García‐Muse Spain
Daniel E. Newburger relative to Aaron C. Goldstrohm United States Aaron C. Goldstrohm's profile →
Citations per field
00.5×3.0×
Aaron C. Goldstrohm · 1×
Citations per year

Countries citing papers authored by Daniel E. Newburger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel E. Newburger Line = papers co-authored together Daniel E. Newburger links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Diversity and Complexity in DNA Recognition by Transcription Factors
Hit paper breakdown →
2009761
2 2008487
3 2009322
4 2008284
5 2009205
6 2004102
7 201380
8 201536
9 200720
10 201114
11 201314
12 201513
13 201111
14 20173
15 20112

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.

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