Erika Cule
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in
- Genetics 2
- Genetic Associations and Epidemiology 2
- Genetic and phenotypic traits in livestock 1
- Genetic Mapping and Diversity in Plants and Animals 1
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- Gene expression and cancer classification 1
- Co-authors
- Maria De Iorio (2 shared papers)Paolo Vineis (1 shared paper)Tina Toni (1 shared paper)Juliane Liepe (1 shared paper)Michael P. H. Stumpf (1 shared paper)Kamil Erguler (1 shared paper)C. Barnes (1 shared paper)Paul Kirk (1 shared paper)
- Journals
- Nature (1 paper)Genetic Epidemiology (1 paper)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomMexico
In The Last Decade
Erika Cule
4 papers receiving 275 citations
Peers
Comparison fields: 5 of 120
- Statistics and Probability 58
- Hardware and Architecture 16
- Computational Mathematics 1
- Genetics 43
- Artificial Intelligence 43
Countries citing papers authored by Erika Cule
This map shows the geographic impact of Erika Cule'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 Erika Cule with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erika Cule more than expected).
Fields of papers citing papers by Erika Cule
This network shows the impact of papers produced by Erika Cule. 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 Erika Cule. The network helps show where Erika Cule may publish in the future.
Co-authors
The 13 scholars most cited alongside Erika Cule, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Erika Cule
Erika Cule is a scholar working on Genetics, Molecular Biology, Statistical and Nonlinear Physics, Epidemiology and Artificial Intelligence, having authored 4 papers that have together received 279 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Genetic and phenotypic traits in livestock (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Gene expression and cancer classification (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Statistics and Probability (58 citations), Hardware and Architecture (16 citations), Computational Mathematics (1 citation), Genetics (43 citations) and Artificial Intelligence (43 citations). Erika Cule has collaborated with scholars based in United Kingdom and Mexico. Frequent co-authors include Maria De Iorio, Paolo Vineis, Tina Toni, Juliane Liepe, Michael P. H. Stumpf, Kamil Erguler, C. Barnes, Paul Kirk, S. W. Running and R.G. Gosling. Their work appears in journals such as Nature, Genetic Epidemiology, BMC Bioinformatics and Bioinformatics.
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.