Chris Boursnell
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Plant Science top 2%
- Plant Molecular Biology Research
Papers in
-
- Genomics and Phylogenetic Studies 2
- Photosynthetic Processes and Mechanisms 2
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
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- Light effects on plants 1
- Co-authors
- Jaina Mistry (1 shared paper)Sean R. Eddy (1 shared paper)Alex Bateman (1 shared paper)Jody Clements (1 shared paper)Erik L. L. Sonnhammer (1 shared paper)ROBERT FINN (1 shared paper)John Tate (1 shared paper)Ruth Y. Eberhardt (1 shared paper)
- Journals
- Genome Research (1 paper)The Plant Journal (1 paper)Breast Cancer Research (1 paper)Nucleic Acids Research (1 paper)Nature Plants (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Chris Boursnell
6 papers receiving 3.7k citations
Chris Boursnell's Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.5k
- Plant Science 892
- Endocrinology 123
- Ecology 599
- Biotechnology 150
Countries citing papers authored by Chris Boursnell
This map shows the geographic impact of Chris Boursnell'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 Chris Boursnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Boursnell more than expected).
Fields of papers citing papers by Chris Boursnell
This network shows the impact of papers produced by Chris Boursnell. 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 Chris Boursnell. The network helps show where Chris Boursnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Boursnell, 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 Pfam protein families database Hit paper breakdown → | 2011 | 3003 |
| 2 | TransRate: reference-free quality assessment of de novo transcriptome assemblies Hit paper breakdown → | 2016 | 547 |
| 3 | 2014 | 73 | |
| 4 | 2016 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2016 | 16 |
About Chris Boursnell
Chris Boursnell is a scholar working on Molecular Biology, Plant Science, Renewable Energy, Sustainability and the Environment, Pulmonary and Respiratory Medicine and Oncology, having authored 6 papers that have together received 3.7k indexed citations. Recurring topics across this work include Algal biology and biofuel production (2 papers), Genomics and Phylogenetic Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Cancer Genomics and Diagnostics (1 paper), Machine Learning in Bioinformatics (1 paper), Lung Cancer Treatments and Mutations (1 paper), Light effects on plants (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (2.5k citations), Plant Science (892 citations), Endocrinology (123 citations), Ecology (599 citations) and Biotechnology (150 citations). Chris Boursnell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jaina Mistry, Sean R. Eddy, Alex Bateman, Jody Clements, Erik L. L. Sonnhammer, ROBERT FINN, John Tate, Ruth Y. Eberhardt, Sofia K. Forslund and Andreas Heger. Their work appears in journals such as Genome Research, The Plant Journal, Breast Cancer Research, Nucleic Acids Research and Nature Plants.
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.