Ryan Kelley
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- RNA modifications and cancer
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
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- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 3
- Fungal and yeast genetics research 2
- vaccines and immunoinformatics approaches 1
- RNA modifications and cancer 1
- Genomics and Chromatin Dynamics 1
- CRISPR and Genetic Engineering 1
- Co-authors
- Steven L. SalzbergGeo PerteaHarold PimentelCole TrapnellDaehwan KimTrey IdekerRichard M. KarpPeter Uetz
- Journals
- Genome biology (2 papers)Science Translational Medicine (1 paper)PLoS Computational Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Ryan Kelley
8 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Cancer Research 1.6k
- Molecular Biology 7.3k
- Aging 151
- Plant Science 2.4k
- Genetics 1.5k
Countries citing papers authored by Ryan Kelley
This map shows the geographic impact of Ryan Kelley'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 Ryan Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kelley more than expected).
Fields of papers citing papers by Ryan Kelley
This network shows the impact of papers produced by Ryan Kelley. 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 Ryan Kelley. The network helps show where Ryan Kelley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryan Kelley, 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 | The druggable genome and support for target identification and validation in drug development Hit paper breakdown → | 2017 | 494 |
| 2 | TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions Hit paper breakdown → | 2013 | 9419 |
| 3 | 2009 | 45 | |
| 4 | 2008 | 104 | |
| 5 | 2007 | 11 | |
| 6 | Conserved patterns of protein interaction in multiple species Hit paper breakdown → | 2005 | 507 |
| 7 | 2005 | 324 | |
| 8 | 2004 | 149 |
About Ryan Kelley
Ryan Kelley is a scholar working on Aging, Molecular Biology, Environmental Chemistry, Computational Theory and Mathematics and Physiology, having authored 8 papers that have together received 11.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Fungal and yeast genetics research (2 papers), vaccines and immunoinformatics approaches (1 paper), RNA modifications and cancer (1 paper), Genomics and Chromatin Dynamics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (7.3k citations), Aging (151 citations), Plant Science (2.4k citations) and Genetics (1.5k citations). Ryan Kelley has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Steven L. Salzberg, Geo Pertea, Harold Pimentel, Cole Trapnell, Daehwan Kim, Trey Ideker, Richard M. Karp, Peter Uetz, Silpa Suthram and Scott McCuine. Their work appears in journals such as Genome biology, Science Translational Medicine, PLoS Computational Biology, Proceedings of the National Academy of Sciences and PLoS 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.