Katrina Learned
Impact in
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- Cancer-related molecular mechanisms research
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
Papers in ⓘ
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- Cancer Genomics and Diagnostics 6
- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Genetics 2
- Genomics and Rare Diseases 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- David Haussler (8 shared papers)Kate R. Rosenbloom (1 shared paper)Brian J. Raney (1 shared paper)Timothy R. Dreszer (1 shared paper)Robert M. Kuhn (1 shared paper)Angie S. Hinrichs (1 shared paper)Laurence Meyer (1 shared paper)Donna Karolchik (1 shared paper)
- Journals
- npj Precision Oncology (2 papers)GigaScience (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Cells (1 paper)
- Partner nations
- United States
In The Last Decade
Katrina Learned
11 papers receiving 326 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 61
- Molecular Biology 235
- Genetics 21
- Genetics 51
- Health Informatics 2
Countries citing papers authored by Katrina Learned
This map shows the geographic impact of Katrina Learned'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 Katrina Learned with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrina Learned more than expected).
Fields of papers citing papers by Katrina Learned
This network shows the impact of papers produced by Katrina Learned. 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 Katrina Learned. The network helps show where Katrina Learned may publish in the future.
Co-authors
The 25 scholars most cited alongside Katrina Learned, 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 | 2009 | 263 | |
| 2 | 2019 | 18 | |
| 3 | 2021 | 15 | |
| 4 | 2020 | 10 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 4 | |
| 8 | 2017 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2023 | 0 |
About Katrina Learned
Katrina Learned is a scholar working on Cancer Research, Genetics, Oral Surgery, Dermatology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 327 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Genomics and Rare Diseases (2 papers), Ethics in Clinical Research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Glioma Diagnosis and Treatment (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (61 citations), Molecular Biology (235 citations), Genetics (21 citations), Genetics (51 citations) and Health Informatics (2 citations). Katrina Learned has collaborated with scholars based in United States. Frequent co-authors include David Haussler, Kate R. Rosenbloom, Brian J. Raney, Timothy R. Dreszer, Robert M. Kuhn, Angie S. Hinrichs, Laurence Meyer, Donna Karolchik, G. P. Barber and Pauline A. Fujita. Their work appears in journals such as npj Precision Oncology, GigaScience, Cancer Research, Journal of Clinical Oncology and Cells.
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.