Kat Moore
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
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- Cancer Genomics and Diagnostics
Papers in
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- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 2
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- Cancer Genomics and Diagnostics 1
- Breast Cancer Treatment Studies 1
- Co-authors
- Marieke v. Lindern (5 shared papers)Peter A.C. ’t Hoen (4 shared papers)Lodewyk F.A. Wessels (3 shared papers)Floris P. J. van Alphen (3 shared papers)Daniël J. Vis (1 shared paper)Marco Loog (1 shared paper)Marcel J. T. Reinders (1 shared paper)Alexander B. Meijer (2 shared papers)
- Journals
- PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical Cancer Research (1 paper)Frontiers in Physiology (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Kat Moore
12 papers receiving 561 citations
Peers
Comparison fields: 5 of 55
- Oncology 273
- Cancer Research 48
- Biomedical Engineering 96
- Molecular Biology 148
- Computational Mathematics 1
Countries citing papers authored by Kat Moore
This map shows the geographic impact of Kat 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 Kat Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kat Moore more than expected).
Fields of papers citing papers by Kat Moore
This network shows the impact of papers produced by Kat 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 Kat Moore. The network helps show where Kat Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Kat 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 369 | |
| 2 | 2018 | 45 | |
| 3 | 2021 | 26 | |
| 4 | 2023 | 21 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2025 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2018 | 10 | |
| 12 | 2023 | 5 |
About Kat Moore
Kat Moore is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Computational Theory and Mathematics, having authored 12 papers that have together received 568 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (2 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Breast Cancer Treatment Studies (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Oncology (273 citations), Cancer Research (48 citations), Biomedical Engineering (96 citations), Molecular Biology (148 citations) and Computational Mathematics (1 citation). Kat Moore has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Marieke v. Lindern, Peter A.C. ’t Hoen, Lodewyk F.A. Wessels, Floris P. J. van Alphen, Daniël J. Vis, Marco Loog, Marcel J. T. Reinders, Alexander B. Meijer, Soufiane M. C. Mourragui and Ivo F.A.C. Fokkema. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Clinical Cancer Research, Frontiers in Physiology and Journal of Leukocyte Biology.
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.