Christine How
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 5
- Epigenetics and DNA Methylation 1
- Extracellular vesicles in disease 1
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 6
- Cancer Genomics and Diagnostics 1
- Co-authors
- Fei‐Fei Liu (8 shared papers)Angela Bik‐Yu Hui (5 shared papers)Rićhard P. Hill (4 shared papers)Emma Ito (2 shared papers)Wei Shi (2 shared papers)Jeff Bruce (3 shared papers)Payam Zahedi (1 shared paper)Kenneth W. Yip (1 shared paper)
- Journals
- PLoS ONE (2 papers)Cancer Research (2 papers)BMC Cancer (2 papers)Oncotarget (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- CanadaSaudi ArabiaNew Zealand
In The Last Decade
Christine How
8 papers receiving 261 citations
Peers
Comparison fields: 5 of 39
- Cancer Research 202
- Molecular Biology 216
- Obstetrics and Gynecology 10
- Oncology 17
- Toxicology 2
Countries citing papers authored by Christine How
This map shows the geographic impact of Christine How'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 Christine How with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine How more than expected).
Fields of papers citing papers by Christine How
This network shows the impact of papers produced by Christine How. 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 Christine How. The network helps show where Christine How may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine How, 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 | 2014 | 91 | |
| 2 | 2013 | 59 | |
| 3 | 2011 | 59 | |
| 4 | 2015 | 27 | |
| 5 | 2015 | 18 | |
| 6 | 2012 | 5 | |
| 7 | 2010 | 2 | |
| 8 | 2012 | 2 |
About Christine How
Christine How is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 8 papers that have together received 263 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Advances in Oncology and Radiotherapy (1 paper), Extracellular vesicles in disease (1 paper) and Health and Medical Research Impacts (1 paper). The work is most often cited by research in Cancer Research (202 citations), Molecular Biology (216 citations), Obstetrics and Gynecology (10 citations), Oncology (17 citations) and Toxicology (2 citations). Christine How has collaborated with scholars based in Canada, Saudi Arabia and New Zealand. Frequent co-authors include Fei‐Fei Liu, Angela Bik‐Yu Hui, Rićhard P. Hill, Emma Ito, Wei Shi, Jeff Bruce, Payam Zahedi, Kenneth W. Yip, Ryunosuke Kogo and Naz Chaudary. Their work appears in journals such as PLoS ONE, Cancer Research, BMC Cancer, Oncotarget and International Journal of Radiation Oncology*Biology*Physics.
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.