Billy T. Dye
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
- Molecular Biology top 10%
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 6
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 2
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- Plant Virus Research Studies 4
- Co-authors
- Paul Ahlquist (7 shared papers)Brenda A. Schulman (3 shared papers)James G. Patton (5 shared papers)David Kushner (3 shared papers)Amine Noueiry (1 shared paper)Wai-Ming Lee (1 shared paper)Yaron Shav‐Tal (2 shared papers)Dov Zipori (2 shared papers)
- Journals
- Journal of Virology (3 papers)Molecular Biology of the Cell (2 papers)Nature Structural & Molecular Biology (2 papers)RNA (2 papers)BioTechniques (1 paper)
- Partner nations
- United StatesIsraelSlovakia
In The Last Decade
Billy T. Dye
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Endocrinology 110
- Molecular Biology 1.0k
- Cell Biology 207
- Plant Science 374
- Infectious Diseases 147
Countries citing papers authored by Billy T. Dye
This map shows the geographic impact of Billy T. Dye'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 Billy T. Dye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Billy T. Dye more than expected).
Fields of papers citing papers by Billy T. Dye
This network shows the impact of papers produced by Billy T. Dye. 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 Billy T. Dye. The network helps show where Billy T. Dye may publish in the future.
Co-authors
The 25 scholars most cited alongside Billy T. Dye, 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 | 2003 | 404 | |
| 2 | 2005 | 303 | |
| 3 | 2007 | 218 | |
| 4 | 2012 | 117 | |
| 5 | 2002 | 105 | |
| 6 | 2001 | 93 | |
| 7 | 2003 | 70 | |
| 8 | 2001 | 52 | |
| 9 | 2009 | 48 | |
| 10 | 2005 | 46 | |
| 11 | 1998 | 32 | |
| 12 | 2004 | 26 | |
| 13 | 2005 | 21 | |
| 14 | 2014 | 10 | |
| 15 | 2005 | 7 | |
| 16 | 2005 | 3 |
About Billy T. Dye
Billy T. Dye is a scholar working on Molecular Biology, Plant Science, Ecology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers), Plant Virus Research Studies (4 papers), Bacteriophages and microbial interactions (3 papers), Animal Virus Infections Studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Endocrinology (110 citations), Molecular Biology (1.0k citations), Cell Biology (207 citations), Plant Science (374 citations) and Infectious Diseases (147 citations). Billy T. Dye has collaborated with scholars based in United States, Israel and Slovakia. Frequent co-authors include Paul Ahlquist, Brenda A. Schulman, James G. Patton, David Kushner, Amine Noueiry, Wai-Ming Lee, Yaron Shav‐Tal, Dov Zipori, Xavier Darzacq and Janna Blechman. Their work appears in journals such as Journal of Virology, Molecular Biology of the Cell, Nature Structural & Molecular Biology, RNA and BioTechniques.
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.