Donna Witchell
Impact in
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- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Metabolism, Diabetes, and Cancer
- PI3K/AKT/mTOR signaling in cancer
- CRISPR and Genetic Engineering
- RNA Research and Splicing
Papers in
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- DNA and Nucleic Acid Chemistry 3
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 1
- Metabolism, Diabetes, and Cancer 1
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- IL-33, ST2, and ILC Pathways 1
- Co-authors
- Madeline Butler (5 shared papers)Andrew Siwkowski (3 shared papers)Brett P. Monia (4 shared papers)Guillermo Vasquez (2 shared papers)Edward V. Wancewicz (2 shared papers)Punit P. Seth (1 shared paper)Charles Allerson (1 shared paper)Thazha P. Prakash (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Journal of Lipid Research (1 paper)Amyloid (1 paper)Diabetes (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Donna Witchell
9 papers receiving 609 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 476
- Cancer Research 67
- Immunology 71
- Genetics 29
- Nephrology 13
Countries citing papers authored by Donna Witchell
This map shows the geographic impact of Donna Witchell'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 Donna Witchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Witchell more than expected).
Fields of papers citing papers by Donna Witchell
This network shows the impact of papers produced by Donna Witchell. 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 Donna Witchell. The network helps show where Donna Witchell may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Witchell, 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 | 2008 | 206 | |
| 2 | 2002 | 180 | |
| 3 | 2003 | 78 | |
| 4 | 2000 | 57 | |
| 5 | 2011 | 37 | |
| 6 | 2011 | 27 | |
| 7 | 2004 | 19 | |
| 8 | 2003 | 15 | |
| 9 | 2007 | 2 |
About Donna Witchell
Donna Witchell is a scholar working on Molecular Biology, Immunology, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 621 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Inflammatory Bowel Disease (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Molecular Biology (476 citations), Cancer Research (67 citations), Immunology (71 citations), Genetics (29 citations) and Nephrology (13 citations). Donna Witchell has collaborated with scholars based in United States. Frequent co-authors include Madeline Butler, Andrew Siwkowski, Brett P. Monia, Guillermo Vasquez, Edward V. Wancewicz, Punit P. Seth, Charles Allerson, Thazha P. Prakash, Sam Lee and Eric E. Swayze. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Lipid Research, Amyloid, Diabetes and Journal of Medicinal Chemistry.
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.