Warren A. Whyte
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- Cancer Research top 5%
Papers in
-
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 4
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- Congenital heart defects research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Cancer-related gene regulation 1
- RNA modifications and cancer 1
- Co-authors
- David A. Orlando (2 shared papers)Richard A. Young (1 shared paper)Michael H. Kagey (1 shared paper)Brian J. Abraham (1 shared paper)Peter B. Rahl (1 shared paper)Denes Hnisz (1 shared paper)Charles Y. Lin (1 shared paper)Tong Ihn Lee (1 shared paper)
- Journals
- Molecular Cell (1 paper)Nature Methods (1 paper)Cell stem cell (1 paper)Genes & Development (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Warren A. Whyte
7 papers receiving 3.7k citations
Warren A. Whyte's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 3.2k
- Cancer Research 487
- Immunology 336
- Genetics 396
- Hematology 140
Countries citing papers authored by Warren A. Whyte
This map shows the geographic impact of Warren A. Whyte'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 Warren A. Whyte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren A. Whyte more than expected).
Fields of papers citing papers by Warren A. Whyte
This network shows the impact of papers produced by Warren A. Whyte. 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 Warren A. Whyte. The network helps show where Warren A. Whyte may publish in the future.
Co-authors
The 25 scholars most cited alongside Warren A. Whyte, 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 | Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes Hit paper breakdown → | 2013 | 2740 |
| 2 | 2012 | 452 | |
| 3 | 2010 | 299 | |
| 4 | 2012 | 107 | |
| 5 | 2010 | 98 | |
| 6 | 2011 | 58 | |
| 7 | 2011 | 5 |
About Warren A. Whyte
Warren A. Whyte is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (2 papers), Congenital heart defects research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Cancer-related gene regulation (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (487 citations), Immunology (336 citations), Genetics (396 citations) and Hematology (140 citations). Warren A. Whyte has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David A. Orlando, Richard A. Young, Michael H. Kagey, Brian J. Abraham, Peter B. Rahl, Denes Hnisz, Charles Y. Lin, Tong Ihn Lee, Richard A. Young and Garrett M. Frampton. Their work appears in journals such as Molecular Cell, Nature Methods, Cell stem cell, Genes & Development and Nature.
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.