Allen Day
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Biomedical Text Mining and Ontologies
- Genetics, Bioinformatics, and Biomedical Research
Papers in
-
- RNA Research and Splicing 3
- Microbial Metabolic Engineering and Bioproduction 3
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
- Biomedical Text Mining and Ontologies 2
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 2
- Co-authors
- Lincoln SteinShengqiang ShuMarco MangoneChris MungallTodd HarrisMichael CaudySuzanna LewisElizabeth Nickerson
- Journals
- BMC Genomics (1 paper)BMC Bioinformatics (1 paper)Genome Research (1 paper)Genome biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Allen Day
8 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Aging 41
- Molecular Biology 1.1k
- Information Systems and Management 76
- Genetics 110
- Genetics 272
Countries citing papers authored by Allen Day
This map shows the geographic impact of Allen Day'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 Allen Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allen Day more than expected).
Fields of papers citing papers by Allen Day
This network shows the impact of papers produced by Allen Day. 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 Allen Day. The network helps show where Allen Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Allen Day, 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 | C-Like 'getopt' Behavior [R package getopt version 1.20.3] | 2019 | 1 |
| 2 | 2009 | 19 | |
| 3 | 2008 | 30 | |
| 4 | 2007 | 18 | |
| 5 | 2007 | 49 | |
| 6 | 2006 | 152 | |
| 7 | The Generic Genome Browser: A Building Block for a Model Organism System Database Hit paper breakdown → | 2002 | 848 |
| 8 | 2001 | 319 |
About Allen Day
Allen Day is a scholar working on Ecological Modeling, Molecular Biology, Genetics, Cancer Research and Rheumatology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), RNA modifications and cancer (2 papers), Bioinformatics and Genomic Networks (2 papers), Biomedical Text Mining and Ontologies (2 papers), Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (2 papers) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Aging (41 citations), Molecular Biology (1.1k citations), Information Systems and Management (76 citations), Genetics (110 citations) and Genetics (272 citations). Allen Day has collaborated with scholars based in United States and France. Frequent co-authors include Lincoln Stein, Shengqiang Shu, Marco Mangone, Chris Mungall, Todd Harris, Michael Caudy, Suzanna Lewis, Elizabeth Nickerson, Jason Stajich and Robin D. Dowell. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, Genome Research, Genome biology and PLoS ONE.
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.