Mary-Kate Hayward
- Oncology top 10%
- Molecular Biology
- Cell Biology top 10%
- Immunology
- Cancer Research
- Co-authors
- Valerie M. WeaverBram PiersmaJonathon M. MuncieConnor StashkoFernando P. CanaleOri MallerBushra SamadIlona Berestjuk
- Topics
- Cancer Cells and Metastasis (5 papers)Cellular Mechanics and Interactions (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Cited by
- Cell BiologyOncologyCancer Research
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Mary-Kate Hayward
10 papers receiving 732 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 275
- Molecular Biology 274
- Cell Biology 193
- Immunology 154
- Cancer Research 138
Countries citing papers authored by Mary-Kate Hayward
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).
Fields of papers citing papers by Mary-Kate Hayward
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.
Co-authorship network of co-authors of Mary-Kate Hayward
This figure shows the co-authorship network connecting the top 25 collaborators of Mary-Kate Hayward. A scholar is included among the top collaborators of Mary-Kate Hayward based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary-Kate Hayward. Mary-Kate Hayward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tumor-associated macrophages restrict CD8+ T cell function through collagen deposition and metabolic reprogramming of the breast cancer microenvironmentbreakdown → | 119 |
| 2 | 12 | |
| 3 | 36 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 101 | |
| 8 | 5 | |
| 9 | Fibrosis and cancer: A strained relationshipbreakdown → | 440 |
| 10 | 3 |
About Mary-Kate Hayward
Mary-Kate Hayward is a scholar working on Cell Biology, Oncology and Immunology and Allergy, having authored 10 papers that have together received 737 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cellular Mechanics and Interactions (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cell Biology (193 citations), Oncology (275 citations) and Cancer Research (138 citations). Mary-Kate Hayward has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Valerie M. Weaver, Bram Piersma, Jonathon M. Muncie, Connor Stashko, Fernando P. Canale, Ori Maller, Bushra Samad, Ilona Berestjuk, Kevin M. Tharp and Roger Geiger. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.
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.