Hannah Currant
Impact in
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- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Biomedical Text Mining and Ontologies
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 1
- Retinal Development and Disorders 1
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- Data Visualization and Analytics 2
- Co-authors
- Domenico Cozzetto (1 shared paper)David T. Jones (1 shared paper)Federico Minneci (1 shared paper)Daniel Archambault (2 shared papers)Tomas Fitzgerald (1 shared paper)Anthony P. Khawaja (1 shared paper)Praveen J. Patel (1 shared paper)Omar A. Mahroo (1 shared paper)
- Journals
- ACM Transactions on Intelligent Systems and Technology (1 paper)PLoS Genetics (1 paper)Scientific Reports (1 paper)Frontiers in Bioinformatics (1 paper)Research Output (Edinburgh Napier University) (1 paper)
- Partner nations
- United KingdomDenmark
In The Last Decade
Hannah Currant
5 papers receiving 117 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 85
- Computational Theory and Mathematics 14
- Ophthalmology 4
- Computer Vision and Pattern Recognition 10
- Biophysics 2
Countries citing papers authored by Hannah Currant
This map shows the geographic impact of Hannah Currant'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 Hannah Currant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Currant more than expected).
Fields of papers citing papers by Hannah Currant
This network shows the impact of papers produced by Hannah Currant. 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 Hannah Currant. The network helps show where Hannah Currant may publish in the future.
Co-authors
The 16 scholars most cited alongside Hannah Currant, 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 | 2016 | 89 | |
| 2 | 2023 | 13 | |
| 3 | 2018 | 7 | |
| 4 | 2016 | 6 | |
| 5 | 2023 | 3 |
About Hannah Currant
Hannah Currant is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Ophthalmology and Genetics, having authored 5 papers that have together received 118 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Data Visualization and Analytics (2 papers), Glaucoma and retinal disorders (1 paper), Data Analysis with R (1 paper), Retinal Diseases and Treatments (1 paper), Gene expression and cancer classification (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Molecular Biology (85 citations), Computational Theory and Mathematics (14 citations), Ophthalmology (4 citations), Computer Vision and Pattern Recognition (10 citations) and Biophysics (2 citations). Hannah Currant has collaborated with scholars based in United Kingdom and Denmark. Frequent co-authors include Domenico Cozzetto, David T. Jones, Federico Minneci, Daniel Archambault, Tomas Fitzgerald, Anthony P. Khawaja, Praveen J. Patel, Omar A. Mahroo, Jessie Kennedy and V. Anne Smith. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, PLoS Genetics, Scientific Reports, Frontiers in Bioinformatics and Research Output (Edinburgh Napier University).
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.