Kate Connor

15 papers and 99 indexed citations i.

About

Kate Connor is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kate Connor has authored 15 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Kate Connor’s work include Glioma Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Kate Connor is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Kate Connor collaborates with scholars based in Ireland, The Netherlands and France. Kate Connor's co-authors include Annette T. Byrne, Alice C. O’Farrell, Jochen H.M. Prehn, Roel G.W. Verhaak, Markus Rehm, William M. Gallagher, Ian S. Miller, Manuela Salvucci, Simone P. Niclou and Darran P. O’Connor and has published in prestigious journals such as Scientific Reports, Nature Protocols and Annals of Oncology.

In The Last Decade

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

Fields of papers citing papers by Kate Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kate Connor

Since Specialization
Citations

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