Daniel B. Davison
Impact in
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- Bacterial Genetics and Biotechnology
- Genetics and Neurodevelopmental Disorders
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Fractal and DNA sequence analysis
- Mitochondrial Function and Pathology
- RNA modifications and cancer
Papers in
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Fractal and DNA sequence analysis 2
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- John P. Burke (2 shared papers)Tiee‐Jian Wu (1 shared paper)Eiichi Ohtsubo (3 shared papers)Hui Wang (1 shared paper)Margaret J. Sampson (1 shared paper)Rhonda S. Lovell (1 shared paper)William J. Craigen (1 shared paper)Thomas B. Ryder (1 shared paper)
- Journals
- Computers & Geosciences (2 papers)The Journal of General and Applied Microbiology (1 paper)Computer applications in the biosciences (1 paper)Gene (1 paper)Biometrics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel B. Davison
15 papers receiving 410 citations
Peers
Comparison fields: 5 of 76
- Genetics 136
- Molecular Biology 326
- Endocrinology 23
- Molecular Medicine 18
- Clinical Biochemistry 14
Countries citing papers authored by Daniel B. Davison
This map shows the geographic impact of Daniel 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 Daniel 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 Daniel B. Davison more than expected).
Fields of papers citing papers by Daniel B. Davison
This network shows the impact of papers produced by Daniel 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 Daniel B. Davison. The network helps show where Daniel B. Davison may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | 1997 | 96 | |
| 2 | 1998 | 83 | |
| 3 | 1982 | 65 | |
| 4 | 1996 | 55 | |
| 5 | 1995 | 44 | |
| 6 | 2006 | 30 | |
| 7 | 1983 | 22 | |
| 8 | 1984 | 15 | |
| 9 | 1990 | 9 | |
| 10 | 1995 | 4 | |
| 11 | 2003 | 4 | |
| 12 | 1993 | 2 | |
| 13 | 1997 | 2 | |
| 14 | 1980 | 1 | |
| 15 | 1989 | 1 |
About Daniel B. Davison
Daniel B. Davison is a scholar working on Molecular Biology, Genetics, Ecology, Clinical Biochemistry and Molecular Medicine, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), Gene expression and cancer classification (2 papers), Fractal and DNA sequence analysis (2 papers), Antibiotic Resistance in Bacteria (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Genetics (136 citations), Molecular Biology (326 citations), Endocrinology (23 citations), Molecular Medicine (18 citations) and Clinical Biochemistry (14 citations). Daniel B. Davison has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John P. Burke, Tiee‐Jian Wu, Eiichi Ohtsubo, Hui Wang, Margaret J. Sampson, Rhonda S. Lovell, William J. Craigen, Thomas B. Ryder, Jonathan Rosen and Hisako Ohtsubo. Their work appears in journals such as Computers & Geosciences, The Journal of General and Applied Microbiology, Computer applications in the biosciences, Gene and Biometrics.
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.