Timothy Danford
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Aging top 10%
Papers in
-
- Genomics and Chromatin Dynamics 5
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- Gene expression and cancer classification 2
- Pluripotent Stem Cells Research 2
- Bioinformatics and Genomic Networks 2
- Fungal and yeast genetics research 2
- Genetics 3
- Animal Genetics and Reproduction 1
- Co-authors
- David K. Gifford (8 shared papers)Ernest Fraenkel (4 shared papers)Kenzie D. MacIsaac (3 shared papers)Richard A. Young (5 shared papers)Julia Zeitlinger (2 shared papers)Dmitry Pokholok (2 shared papers)Robin D. Dowell (6 shared papers)Tong Ihn Lee (1 shared paper)
- Journals
- Genome biology (2 papers)Journal of Computational Biology (1 paper)Nature Biotechnology (1 paper)Molecular Systems Biology (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Timothy Danford
11 papers receiving 2.8k citations
Timothy Danford's Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 2.3k
- Aging 40
- Genetics 406
- Plant Science 262
- Cancer Research 82
Countries citing papers authored by Timothy Danford
This map shows the geographic impact of Timothy Danford'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 Timothy Danford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Danford more than expected).
Fields of papers citing papers by Timothy Danford
This network shows the impact of papers produced by Timothy Danford. 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 Timothy Danford. The network helps show where Timothy Danford may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothy Danford, 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 | Transcriptional regulatory code of a eukaryotic genome Hit paper breakdown → | 2004 | 1661 |
| 2 | 2007 | 414 | |
| 3 | 2010 | 328 | |
| 4 | 2006 | 166 | |
| 5 | 2006 | 74 | |
| 6 | 2015 | 68 | |
| 7 | 2006 | 66 | |
| 8 | 2008 | 51 | |
| 9 | 2007 | 9 | |
| 10 | 2010 | 1 | |
| 11 | 2011 | 1 |
About Timothy Danford
Timothy Danford is a scholar working on Molecular Biology, Genetics, Information Systems and Management, Hardware and Architecture and Computational Theory and Mathematics, having authored 11 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (2 papers), Pluripotent Stem Cells Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Fungal and yeast genetics research (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Molecular Biology (2.3k citations), Aging (40 citations), Genetics (406 citations), Plant Science (262 citations) and Cancer Research (82 citations). Timothy Danford has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include David K. Gifford, Ernest Fraenkel, Kenzie D. MacIsaac, Richard A. Young, Julia Zeitlinger, Dmitry Pokholok, Robin D. Dowell, Tong Ihn Lee, Ezra G. Jennings and Nancy M. Hannett. Their work appears in journals such as Genome biology, Journal of Computational Biology, Nature Biotechnology, Molecular Systems Biology and Nature Genetics.
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.