Kira Anthony
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
- Lipid Membrane Structure and Behavior 1
- Protein Kinase Regulation and GTPase Signaling 1
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- IL-33, ST2, and ILC Pathways 1
- Co-authors
- Timo Hannay (1 shared paper)Kenneth H. Buetow (2 shared papers)Matthew Day (1 shared paper)Carl F. Schaefer (2 shared papers)Shiva Krupa (1 shared paper)Rebecca Goulding (2 shared papers)Robert J. Kay (2 shared papers)Rosemary B. Cornell (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Biochemical Journal (1 paper)Nature reviews. Cancer (1 paper)Nucleic Acids Research (1 paper)Cancer Research (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kira Anthony
6 papers receiving 1.2k citations
Kira Anthony's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 967
- Cancer Research 186
- Computational Theory and Mathematics 191
- Immunology 89
- Genetics 115
Countries citing papers authored by Kira Anthony
This map shows the geographic impact of Kira Anthony'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 Kira Anthony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kira Anthony more than expected).
Fields of papers citing papers by Kira Anthony
This network shows the impact of papers produced by Kira Anthony. 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 Kira Anthony. The network helps show where Kira Anthony may publish in the future.
Co-authors
The 12 scholars most cited alongside Kira Anthony, 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 | PID: the Pathway Interaction Database Hit paper breakdown → | 2008 | 1107 |
| 2 | 2007 | 47 | |
| 3 | 2007 | 21 | |
| 4 | 2011 | 3 | |
| 5 | 2010 | 3 | |
| 6 | 2011 | 1 |
About Kira Anthony
Kira Anthony is a scholar working on Molecular Biology, Immunology, Pharmacology, Oncology and Cell Biology, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers), MicroRNA in disease regulation (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Lipid Membrane Structure and Behavior (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (967 citations), Cancer Research (186 citations), Computational Theory and Mathematics (191 citations), Immunology (89 citations) and Genetics (115 citations). Kira Anthony has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Timo Hannay, Kenneth H. Buetow, Matthew Day, Carl F. Schaefer, Shiva Krupa, Rebecca Goulding, Robert J. Kay, Rosemary B. Cornell, Ziwei Ding and Joanne E. Johnson. Their work appears in journals such as Molecular Biology of the Cell, Biochemical Journal, Nature reviews. Cancer, Nucleic Acids Research and Cancer Research.
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.