Danielle L. Michell
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- RNA modifications and cancer 9
- RNA Interference and Gene Delivery 4
- RNA Research and Splicing 3
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 8
- Co-authors
- Kasey C. Vickers (19 shared papers)Jaye Chin‐Dusting (7 shared papers)Karen L. Andrews (6 shared papers)Quanhu Sheng (12 shared papers)Waled Shihata (5 shared papers)Ryan M. Allen (8 shared papers)Shilin Zhao (5 shared papers)MacRae F. Linton (7 shared papers)
- Journals
- Journal of Visualized Experiments (4 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)Diabetes (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Danielle L. Michell
28 papers receiving 735 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 209
- Endocrinology, Diabetes and Metabolism 94
- Nutrition and Dietetics 79
- Immunology 98
- Molecular Biology 332
Countries citing papers authored by Danielle L. Michell
This map shows the geographic impact of Danielle L. Michell'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 Danielle L. Michell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle L. Michell more than expected).
Fields of papers citing papers by Danielle L. Michell
This network shows the impact of papers produced by Danielle L. Michell. 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 Danielle L. Michell. The network helps show where Danielle L. Michell may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle L. Michell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 129 | |
| 2 | 2016 | 111 | |
| 3 | 2018 | 63 | |
| 4 | 2016 | 57 | |
| 5 | 2018 | 52 | |
| 6 | 2019 | 40 | |
| 7 | 2016 | 38 | |
| 8 | 2021 | 35 | |
| 9 | 2016 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2022 | 22 | |
| 13 | 2011 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2021 | 14 | |
| 16 | 2013 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 7 |
About Danielle L. Michell
Danielle L. Michell is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 744 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (3 papers), Cell Adhesion Molecules Research (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (209 citations), Endocrinology, Diabetes and Metabolism (94 citations), Nutrition and Dietetics (79 citations), Immunology (98 citations) and Molecular Biology (332 citations). Danielle L. Michell has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Kasey C. Vickers, Jaye Chin‐Dusting, Karen L. Andrews, Quanhu Sheng, Waled Shihata, Ryan M. Allen, Shilin Zhao, MacRae F. Linton, Kevin Woollard and William G. McMaster. Their work appears in journals such as Journal of Visualized Experiments, PLoS ONE, Scientific Reports, Diabetes and Journal of Lipid 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.