Mary-Kate Hayward

10 papers and 568 indexed citations i.

About

Mary-Kate Hayward is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Mary-Kate Hayward has authored 10 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Mary-Kate Hayward’s work include Cancer Cells and Metastasis (5 papers), Cellular Mechanics and Interactions (4 papers) and AI in cancer detection (2 papers). Mary-Kate Hayward is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Cellular Mechanics and Interactions (4 papers) and AI in cancer detection (2 papers). Mary-Kate Hayward collaborates with scholars based in United States, United Kingdom and Switzerland. Mary-Kate Hayward's co-authors include Valerie M. Weaver, Bram Piersma, Jonathon M. Muncie, Connor Stashko, Ori Maller, Greg A. Timblin, Kelly Kersten, Alexander Muir, Rosa E. Menjivar and Marina Pasca di Magliano and has published in prestigious journals such as Nature Communications, Cancer Research and Cell stem cell.

In The Last Decade

Co-authorship network of co-authors of Mary-Kate Hayward i

Fields of papers citing papers by Mary-Kate Hayward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mary-Kate Hayward

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025