Luiza Moore

24 papers receiving 1.5k citations

Luiza Moore's Hit Papers

Life histories of myeloproliferative neoplasms inferred from phylogenies. 2022 · 149 citations
1490+2+4Years since publication100200300

Peers

Luiza Moore
Comparison fields: 5 of 88
  • Cancer Research 515
  • Hematology 213
  • Health Informatics 26
  • Genetics 127
  • Biophysics 70
Replace Elodie Pronier with:
Elodie Pronier United States
Markus Eckstein Germany
Viswam S. Nair United States
Perry Maxwell United Kingdom
Axel Wellmann Germany
Christian A. Kunder United States
Matahi Moarii France
Jonathan L. Jesneck United States
Frederik W. van Delft United Kingdom
Neha Bhagwat United States
Luiza Moore relative to Elodie Pronier United States Elodie Pronier's profile →
Citations per field
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Elodie Pronier · 1×
Citations per year

Countries citing papers authored by Luiza Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Luiza Moore Line = papers co-authored together Luiza Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 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 →
2020386
2 2019227
3
Life histories of myeloproliferative neoplasms inferred from phylogenies.
Hit paper breakdown →
2022149
4 2019102
5 202195
6 202189
7 202182
8 199277
9 202072
10 202056
11 201526
12 202126
13 202020
14 202020
15 202515
16 197514
17 202413
18 20169
19
Attempt to propagate 'passage a' mouse leukemia virus on normal mouse embryo cells in tissue culture. Abstr.
19613
20
The penicillin synthesis repressor (psr) gene of Entereococcus hirae ATCC9790 is longer than previously reported
19982

About Luiza Moore

Luiza Moore is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 24 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 (515 citations), Hematology (213 citations), Health Informatics (26 citations), Genetics (127 citations) and Biophysics (70 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, Lucy Yates, Alexander W. Jung, Moritz Gerstung, Santiago González, Artem Shmatko, Harald Vöhringer and Yu Fu. Their work appears in journals such as Nature, Nature Communications, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature Cancer.

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.

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