Luiza Moore
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
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- Cancer Genomics and Diagnostics 10
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Peter J. Campbell (13 shared papers)Mercedes Jimenez‐Liñan (3 shared papers)Lucy Yates (1 shared paper)Harald Vöhringer (1 shared paper)Santiago González (1 shared paper)Ramón Viñas (1 shared paper)Artem Shmatko (1 shared paper)Alexander W. Jung (1 shared paper)
- Journals
- Nature (4 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Cell stem cell (1 paper)Nature Protocols (1 paper)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Luiza Moore
24 papers receiving 1.5k citations
Luiza Moore's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 522
- Hematology 217
- Health Informatics 28
- Genetics 129
- Biophysics 72
Countries citing papers authored by Luiza Moore
This map shows the geographic impact of Luiza Moore'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 Luiza Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiza Moore more than expected).
Fields of papers citing papers by Luiza Moore
This network shows the impact of papers produced by Luiza Moore. 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 Luiza Moore. The network helps show where Luiza Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Luiza Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis Hit paper breakdown → | 2020 | 397 |
| 2 | 2019 | 231 | |
| 3 | Life histories of myeloproliferative neoplasms inferred from phylogenies. Hit paper breakdown → | 2022 | 152 |
| 4 | 2019 | 103 | |
| 5 | 2021 | 95 | |
| 6 | 2021 | 90 | |
| 7 | 2021 | 83 | |
| 8 | 1992 | 77 | |
| 9 | 2020 | 74 | |
| 10 | 2020 | 57 | |
| 11 | 2015 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 20 | |
| 14 | 2020 | 20 | |
| 15 | 2025 | 15 | |
| 16 | 1975 | 14 | |
| 17 | 2024 | 13 | |
| 18 | 2016 | 10 | |
| 19 | Attempt to propagate 'passage a' mouse leukemia virus on normal mouse embryo cells in tissue culture. Abstr. | 1961 | 3 |
| 20 | The penicillin synthesis repressor (psr) gene of Entereococcus hirae ATCC9790 is longer than previously reported | 1998 | 2 |
About Luiza Moore
Luiza Moore is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (4 papers), Single-cell and spatial transcriptomics (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), T-cell and Retrovirus Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Acute Myeloid Leukemia Research (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Cancer Research (522 citations), Hematology (217 citations), Health Informatics (28 citations), Genetics (129 citations) and Biophysics (72 citations). Luiza Moore has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Peter J. Campbell, Mercedes Jimenez‐Liñan, Lucy Yates, Harald Vöhringer, Santiago González, Ramón Viñas, Artem Shmatko, Alexander W. Jung, Moritz Gerstung and Yu Fu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Nature Communications, Cell stem cell and Nature Protocols.
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.