Kate Bull

18 papers and 366 indexed citations i.

About

Kate Bull is a scholar working on Epidemiology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kate Bull has authored 18 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kate Bull’s work include Congenital Heart Disease Studies (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kate Bull is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kate Bull collaborates with scholars based in United Kingdom, Bulgaria and United States. Kate Bull's co-authors include David Spiegelhalter, Jane Somerville, David J. Spiegelhalter, Lindy Holden‐Dye, Vincent O’Connor, Steven Glautier, Neil A. Hopper, Rodney Franklin, Alessandra Frigiola and Kate Brown and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Kate Bull i

Fields of papers citing papers by Kate Bull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Bull. 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 Kate Bull. The network helps show where Kate Bull may publish in the future.

Countries citing papers authored by Kate Bull

Since Specialization
Citations

This map shows the geographic impact of Kate Bull'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 Kate Bull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Bull more than expected).

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.

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