Luiza Moore
- Molecular Biology
- Cancer Research top 5%
- Artificial Intelligence top 5%
- Hematology top 5%
- Oncology
- Co-authors
- Peter J. CampbellMercedes Jimenez‐LiñanBrenda AndrewsYu FuHarald VöhringerArtem ShmatkoMoritz GerstungAlexander W. Jung
- Topics
- Cancer Genomics and Diagnostics (11 papers)Genetic factors in colorectal cancer (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Luiza Moore
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 641
- Cancer Research 574
- Artificial Intelligence 225
- Hematology 224
- Oncology 220
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-authorship network of co-authors of Luiza Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Luiza Moore. A scholar is included among the top collaborators of Luiza Moore 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 Luiza Moore. Luiza Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | Life histories of myeloproliferative neoplasms inferred from phylogenies.breakdown → | 148 |
| 5 | 84 | |
| 6 | 75 | |
| 7 | 94 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 67 | |
| 11 | 56 | |
| 12 | Pan-cancer computational histopathology reveals mutations, tumor composition and prognosisbreakdown → | 367 |
| 13 | 20 | |
| 14 | 20 | |
| 15 | 99 | |
| 16 | 218 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | The penicillin synthesis repressor (psr) gene of Entereococcus hirae ATCC9790 is longer than previously reported | 2 |
| 20 | Attempt to propagate 'passage a' mouse leukemia virus on normal mouse embryo cells in tissue culture. Abstr. | 3 |
About Luiza Moore
Luiza Moore is a scholar working on Cancer Research, Reproductive Medicine and Genetics, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (574 citations), Health Informatics (28 citations) and Hematology (224 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, Brenda Andrews, Yu Fu, Harald Vöhringer, Artem Shmatko, Moritz Gerstung, Alexander W. Jung, Ramón Viñas and Lucy Yates. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.