Timothy Danford
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Aging top 5%
Papers in
- Co-authors
- David K. GiffordErnest FraenkelKenzie D. MacIsaacRichard A. YoungJulia ZeitlingerDmitry PokholokEric S. LanderNicola J. Rinaldi
- Journals
- Genome biology (2 papers)Nature Genetics (1 paper)Science (1 paper)Nature (1 paper)Journal of Computational Biology (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Timothy Danford
10 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 2.5k
- Aging 47
- Genetics 459
- Plant Science 288
- Cancer Research 90
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 | 2015 | 64 | |
| 2 | 2011 | 1 | |
| 3 | 2010 | 309 | |
| 4 | 2008 | 48 | |
| 5 | 2007 | 408 | |
| 6 | 2007 | 9 | |
| 7 | 2006 | 77 | |
| 8 | 2006 | 62 | |
| 9 | 2006 | 162 | |
| 10 | Transcriptional regulatory code of a eukaryotic genome Hit paper breakdown → | 2004 | 1653 |
About Timothy Danford
Timothy Danford is a scholar working on Hardware and Architecture, Information Systems and Management, Molecular Biology, Genetics and Computational Theory and Mathematics, having authored 10 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Fungal and yeast genetics research (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Aging (47 citations), Genetics (459 citations), Plant Science (288 citations) and Cancer Research (90 citations). Timothy Danford has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include David K. Gifford, Ernest Fraenkel, Kenzie D. MacIsaac, Richard A. Young, Julia Zeitlinger, Dmitry Pokholok, Eric S. Lander, Nicola J. Rinaldi, David Reynolds and Nancy M. Hannett. Their work appears in journals such as Genome biology, Nature Genetics, Science, Nature and Journal of Computational Biology.
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.