Daphne Cooper
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 10%
Papers in
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- Circular RNAs in diseases 4
- RNA and protein synthesis mechanisms 1
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Pedro Miura (5 shared papers)Mariela Cortés-López (3 shared papers)Hannah N. Gruner (2 shared papers)Matthew Bauer (1 shared paper)David J. Barton (4 shared papers)Robert H. Silverman (3 shared papers)Babal K. Jha (2 shared papers)Alexander M. van der Linden (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of Virology (2 papers)BMC Genomics (2 papers)RNA (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Daphne Cooper
9 papers receiving 826 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 388
- Aging 23
- Molecular Biology 608
- Infectious Diseases 140
- Public Health, Environmental and Occupational Health 129
Countries citing papers authored by Daphne Cooper
This map shows the geographic impact of Daphne Cooper'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 Daphne Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphne Cooper more than expected).
Fields of papers citing papers by Daphne Cooper
This network shows the impact of papers produced by Daphne Cooper. 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 Daphne Cooper. The network helps show where Daphne Cooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Daphne Cooper, 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 | 2016 | 277 | |
| 2 | 2012 | 158 | |
| 3 | 2018 | 125 | |
| 4 | 2017 | 61 | |
| 5 | 2021 | 59 | |
| 6 | 2014 | 47 | |
| 7 | 2014 | 44 | |
| 8 | 2018 | 30 | |
| 9 | 2020 | 26 |
About Daphne Cooper
Daphne Cooper is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 827 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Animal Virus Infections Studies (2 papers), Malaria Research and Control (1 paper), RNA and protein synthesis mechanisms (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Cancer Research (388 citations), Aging (23 citations), Molecular Biology (608 citations), Infectious Diseases (140 citations) and Public Health, Environmental and Occupational Health (129 citations). Daphne Cooper has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Pedro Miura, Mariela Cortés-López, Hannah N. Gruner, Matthew Bauer, David J. Barton, Robert H. Silverman, Babal K. Jha, Alexander M. van der Linden, Jay R. Hesselberth and Alexandru-Ioan Voda. Their work appears in journals such as Nucleic Acids Research, Journal of Virology, BMC Genomics, RNA and Scientific Reports.
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.