Lucy Yates
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 9
- Breast Cancer Treatment Studies 2
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- Single-cell and spatial transcriptomics 3
- Co-authors
- Peter J. Campbell (2 shared papers)Moritz Gerstung (3 shared papers)Pablo Martínez‐Martín (1 shared paper)К. Ray Chaudhuri (1 shared paper)Ramón Viñas (1 shared paper)Santiago González (1 shared paper)Harald Vöhringer (1 shared paper)Yu Fu (1 shared paper)
- Journals
- Nature Reviews Genetics (2 papers)Annals of Oncology (2 papers)CHEST Journal (1 paper)Breast Cancer Research (1 paper)The Breast (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Lucy Yates
16 papers receiving 1.7k citations
Lucy Yates's Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 559
- Oncology 511
- Health Informatics 28
- Biophysics 76
- Neurology 160
Countries citing papers authored by Lucy Yates
This map shows the geographic impact of Lucy Yates'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 Lucy Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Yates more than expected).
Fields of papers citing papers by Lucy Yates
This network shows the impact of papers produced by Lucy Yates. 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 Lucy Yates. The network helps show where Lucy Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucy Yates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 448 | |
| 2 | Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis Hit paper breakdown → | 2020 | 397 |
| 3 | 2020 | 285 | |
| 4 | 2005 | 203 | |
| 5 | 2022 | 120 | |
| 6 | 2017 | 109 | |
| 7 | 2016 | 51 | |
| 8 | 2021 | 45 | |
| 9 | 2022 | 37 | |
| 10 | 2011 | 31 | |
| 11 | 2016 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2010 | 6 | |
| 14 | 2010 | 5 | |
| 15 | 2009 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2026 | 0 |
About Lucy Yates
Lucy Yates is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Cells and Metastasis (3 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Cancer Research (559 citations), Oncology (511 citations), Health Informatics (28 citations), Biophysics (76 citations) and Neurology (160 citations). Lucy Yates has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Peter J. Campbell, Moritz Gerstung, Pablo Martínez‐Martín, К. Ray Chaudhuri, Ramón Viñas, Santiago González, Harald Vöhringer, Yu Fu, Mercedes Jimenez‐Liñan and Alexander W. Jung. Their work appears in journals such as Nature Reviews Genetics, Annals of Oncology, CHEST Journal, Breast Cancer Research and The Breast.
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.