Daniel Jameson
Impact in
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- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
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- Genetic diversity and population structure
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
- Genomics and Phylogenetic Studies 3
- Gene Regulatory Network Analysis 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 3
- Genetic diversity and population structure 2
- Co-authors
- Paul G. Higgs (2 shared papers)Wei Xu (1 shared paper)Bin Tang (1 shared paper)Magnus Rattray (1 shared paper)Howsun Jow (1 shared paper)Neil Swainston (5 shared papers)Stephen G. Oliver (3 shared papers)Douglas B. Kell (3 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Journal of Molecular Evolution (2 papers)PROTEOMICS (1 paper)BMC Systems Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel Jameson
11 papers receiving 405 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 290
- Genetics 69
- Insect Science 31
- Ecology 64
- Ecology, Evolution, Behavior and Systematics 43
Countries citing papers authored by Daniel Jameson
This map shows the geographic impact of Daniel Jameson'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 Jameson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jameson more than expected).
Fields of papers citing papers by Daniel Jameson
This network shows the impact of papers produced by Daniel Jameson. 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 Jameson. The network helps show where Daniel Jameson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jameson, 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 | 2006 | 102 | |
| 2 | 2010 | 89 | |
| 3 | 2003 | 83 | |
| 4 | 2003 | 63 | |
| 5 | 2010 | 23 | |
| 6 | 2008 | 15 | |
| 7 | 2011 | 13 | |
| 8 | 2010 | 8 | |
| 9 | 2011 | 7 | |
| 10 | 2009 | 4 | |
| 11 | 2010 | 3 |
About Daniel Jameson
Daniel Jameson is a scholar working on Molecular Biology, Genetics, Information Systems and Management, Spectroscopy and Biophysics, having authored 11 papers that have together received 410 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (2 papers), Gene Regulatory Network Analysis (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Molecular Biology (290 citations), Genetics (69 citations), Insect Science (31 citations), Ecology (64 citations) and Ecology, Evolution, Behavior and Systematics (43 citations). Daniel Jameson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Paul G. Higgs, Wei Xu, Bin Tang, Magnus Rattray, Howsun Jow, Neil Swainston, Stephen G. Oliver, Douglas B. Kell, Evangelos Simeonidis and Warwick B. Dunn. Their work appears in journals such as BMC Bioinformatics, Journal of Molecular Evolution, PROTEOMICS, BMC Systems Biology and Nucleic Acids Research.
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.