D B Davison
Impact in
-
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Biochemical and Molecular Research
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 2
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- RNA Research and Splicing 1
- Metabolomics and Mass Spectrometry Studies 1
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Kim C. Worley (1 shared paper)Brent A. Wiese (1 shared paper)Randall F. Smith (1 shared paper)Lisa Griffin (1 shared paper)Bruce D. Gelb (1 shared paper)Edward R.B. McCabe (1 shared paper)Vicki Adams (1 shared paper)John F. Burke (1 shared paper)
- Journals
- Endocrine Practice (1 paper)Genome Research (1 paper)The Pharmacogenomics Journal (1 paper)Genomics (1 paper)IBM Journal of Research and Development (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
D B Davison
6 papers receiving 349 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 234
- Aging 5
- Genetics 56
- Plant Science 64
- Molecular Medicine 8
Countries citing papers authored by D B Davison
This map shows the geographic impact of D B Davison'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 D B Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D B Davison more than expected).
Fields of papers citing papers by D B Davison
This network shows the impact of papers produced by D B Davison. 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 D B Davison. The network helps show where D B Davison may publish in the future.
Co-authors
The 14 scholars most cited alongside D B Davison, 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 | 1996 | 300 | |
| 2 | 1991 | 47 | |
| 3 | 2001 | 7 | |
| 4 | The Number of Human Genes and Proteins | 2002 | 2 |
| 5 | 1995 | 1 | |
| 6 | 2002 | 1 |
About D B Davison
D B Davison is a scholar working on Molecular Biology, Surgery, Oncology, Pharmacology and Infectious Diseases, having authored 6 papers that have together received 358 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (2 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), RNA Research and Splicing (1 paper), Pancreatic function and diabetes (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Molecular Biology (234 citations), Aging (5 citations), Genetics (56 citations), Plant Science (64 citations) and Molecular Medicine (8 citations). D B Davison has collaborated with scholars based in United States and France. Frequent co-authors include Kim C. Worley, Brent A. Wiese, Randall F. Smith, Lisa Griffin, Bruce D. Gelb, Edward R.B. McCabe, Vicki Adams, John F. Burke, Michael J. Pucci and Joel D. Morrisett. Their work appears in journals such as Endocrine Practice, Genome Research, The Pharmacogenomics Journal, Genomics and IBM Journal of Research and Development.
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.