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
- CRISPR and Genetic Engineering
- Metabolism, Diabetes, and Cancer
- PI3K/AKT/mTOR signaling in cancer
- RNA Research and Splicing
Papers in
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- DNA and Nucleic Acid Chemistry 3
- RNA Interference and Gene Delivery 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 1
- Metabolism, Diabetes, and Cancer 1
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- T-cell and B-cell Immunology 1
- Co-authors
- Madeline Butler (5 shared papers)Andrew Siwkowski (3 shared papers)Edward V. Wancewicz (2 shared papers)Guillermo Vasquez (2 shared papers)Brett P. Monia (4 shared papers)Punit P. Seth (1 shared paper)Eric E. Swayze (1 shared paper)Sam Lee (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Journal of Lipid Research (1 paper)Circulation (1 paper)Amyloid (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Donna Witchell
9 papers receiving 635 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 481
- Cancer Research 58
- Genetics 32
- Immunology 64
- Surgery 73
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 | 225 | |
| 2 | 2002 | 184 | |
| 3 | 2003 | 82 | |
| 4 | 2000 | 59 | |
| 5 | 2011 | 40 | |
| 6 | 2011 | 28 | |
| 7 | 2004 | 20 | |
| 8 | 2003 | 19 | |
| 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 659 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), RNA Interference and Gene Delivery (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), T-cell and B-cell Immunology (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Molecular Biology (481 citations), Cancer Research (58 citations), Genetics (32 citations), Immunology (64 citations) and Surgery (73 citations). Donna Witchell has collaborated with scholars based in United States. Frequent co-authors include Madeline Butler, Andrew Siwkowski, Edward V. Wancewicz, Guillermo Vasquez, Brett P. Monia, Punit P. Seth, Eric E. Swayze, Sam Lee, Thazha P. Prakash and Charles Allerson. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Lipid Research, Circulation, Amyloid 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.