Andrew Lyall
Impact in
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- Fish biology, ecology, and behavior
- Ichthyology and Marine Biology
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- Retinal Development and Disorders
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Molecular Biology Techniques and Applications 2
- Retinal Development and Disorders 2
- Machine Learning in Bioinformatics 1
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- Glaucoma and retinal disorders 2
- Co-authors
- A. F. W. Coulson (2 shared papers)James F. Collins (2 shared papers)Michael Müller (1 shared paper)Martin Blüggel (1 shared paper)Katrin Marcus (1 shared paper)Daniel C. Chamrad (1 shared paper)Peter Hammond (1 shared paper)Michael Hamacher (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Computer applications in the biosciences (2 papers)Trends in biotechnology (1 paper)Genome Research (1 paper)The Computer Journal (1 paper)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Andrew Lyall
11 papers receiving 354 citations
Peers
Comparison fields: 5 of 78
- Nature and Landscape Conservation 68
- Molecular Biology 303
- Spectroscopy 47
- Cell Biology 42
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Andrew Lyall
This map shows the geographic impact of Andrew Lyall'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 Andrew Lyall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lyall more than expected).
Fields of papers citing papers by Andrew Lyall
This network shows the impact of papers produced by Andrew Lyall. 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 Andrew Lyall. The network helps show where Andrew Lyall may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Lyall, 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 | 1957 | 100 | |
| 2 | 1988 | 82 | |
| 3 | 1987 | 58 | |
| 4 | 2006 | 45 | |
| 5 | 1957 | 37 | |
| 6 | 1956 | 15 | |
| 7 | 1996 | 14 | |
| 8 | 1984 | 12 | |
| 9 | 1998 | 6 | |
| 10 | 1995 | 5 | |
| 11 | 2012 | 3 |
About Andrew Lyall
Andrew Lyall is a scholar working on Molecular Biology, Ophthalmology, Computational Theory and Mathematics, Genetics and Computer Networks and Communications, having authored 11 papers that have together received 377 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Computational Drug Discovery Methods (2 papers), Glaucoma and retinal disorders (2 papers), Molecular Biology Techniques and Applications (2 papers), Retinal Development and Disorders (2 papers), Machine Learning in Bioinformatics (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Nature and Landscape Conservation (68 citations), Molecular Biology (303 citations), Spectroscopy (47 citations), Cell Biology (42 citations) and Cellular and Molecular Neuroscience (39 citations). Andrew Lyall has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include A. F. W. Coulson, James F. Collins, Michael Müller, Martin Blüggel, Katrin Marcus, Daniel C. Chamrad, Peter Hammond, Michael Hamacher, Lennart Martens and Chris Taylor. Their work appears in journals such as Journal of Cell Science, Computer applications in the biosciences, Trends in biotechnology, Genome Research and The Computer Journal.
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.