Donna Witchell

768 total citations
9 papers, 621 citations indexed

About

Donna Witchell is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Donna Witchell has authored 9 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Surgery. Recurrent topics in Donna Witchell's work include DNA and Nucleic Acid Chemistry (3 papers), RNA Interference and Gene Delivery (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Donna Witchell is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), RNA Interference and Gene Delivery (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Donna Witchell collaborates with scholars based in United States. Donna Witchell's co-authors include Madeline Butler, Andrew Siwkowski, Brett P. Monia, Guillermo Vasquez, Edward V. Wancewicz, Eric E. Swayze, Sam Lee, Charles Allerson, Thazha P. Prakash and Punit P. Seth and has published in prestigious journals such as Circulation, Diabetes and Journal of Medicinal Chemistry.

In The Last Decade

Donna Witchell

9 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Donna Witchell United States 8 476 78 71 67 50 9 621
Nicole Malet France 13 275 0.6× 74 0.9× 105 1.5× 71 1.1× 81 1.6× 17 507
Jung-Joo Hwang United States 8 330 0.7× 55 0.7× 43 0.6× 47 0.7× 39 0.8× 14 514
Véronique Caron Canada 8 202 0.4× 65 0.8× 53 0.7× 50 0.7× 69 1.4× 12 371
Michael McMillan United States 10 529 1.1× 97 1.2× 43 0.6× 92 1.4× 56 1.1× 11 705
Rebecca A. Houliston United Kingdom 9 299 0.6× 44 0.6× 63 0.9× 97 1.4× 34 0.7× 9 534
David S. Calnek United States 11 343 0.7× 72 0.9× 51 0.7× 43 0.6× 48 1.0× 12 607
Carolina Haefliger Germany 11 217 0.5× 42 0.5× 129 1.8× 59 0.9× 46 0.9× 19 518
Dianne J. Beveridge Australia 16 582 1.2× 75 1.0× 62 0.9× 275 4.1× 90 1.8× 24 848
Stephen Archacki United States 13 291 0.6× 45 0.6× 74 1.0× 141 2.1× 58 1.2× 20 487
Daniel Margerie Germany 10 241 0.5× 46 0.6× 33 0.5× 95 1.4× 20 0.4× 14 453

Countries citing papers authored by Donna Witchell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Donna Witchell

This figure shows the co-authorship network connecting the top 25 collaborators of Donna Witchell. A scholar is included among the top collaborators of Donna Witchell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna Witchell. Donna Witchell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Benson, M D, et al.. (2011). Antisense oligonucleotide therapy for TTR amyloidosis. Amyloid. 18(sup1). 60–60. 27 indexed citations
2.
Mullick, Adam E., Wuxia Fu, Mark J. Graham, et al.. (2011). Antisense oligonucleotide reduction of apoB-ameliorated atherosclerosis in LDL receptor-deficient mice. Journal of Lipid Research. 52(5). 885–896. 37 indexed citations
3.
Seth, Punit P., Andrew Siwkowski, Charles Allerson, et al.. (2008). Short Antisense Oligonucleotides with Novel 2′−4′ Conformationaly Restricted Nucleoside Analogues Show Improved Potency without Increased Toxicity in Animals. Journal of Medicinal Chemistry. 52(1). 10–13. 206 indexed citations
5.
Myers, Kathleen, Donna Witchell, Mark J. Graham, et al.. (2004). Antisense oligonucleotide blockade of alpha 4 integrin prevents and reverses clinical symptoms in murine experimental autoimmune encephalomyelitis. Journal of Neuroimmunology. 160(1-2). 12–24. 19 indexed citations
6.
Myers, Kathleen, Sreekant Murthy, Anne Flanigan, et al.. (2003). Antisense Oligonucleotide Blockade of Tumor Necrosis Factor-α in Two Murine Models of Colitis. Journal of Pharmacology and Experimental Therapeutics. 304(1). 411–424. 78 indexed citations
7.
Shen, Lijiang, Andrew Siwkowski, Edward V. Wancewicz, et al.. (2003). Evaluation of C-5 Propynyl Pyrimidine-Containing Oligonucleotides In Vitro and In Vivo. Antisense and Nucleic Acid Drug Development. 13(3). 129–142. 15 indexed citations
8.
Butler, Madeline, Robert A. McKay, Ian Popoff, et al.. (2002). Specific Inhibition of PTEN Expression Reverses Hyperglycemia in Diabetic Mice. Diabetes. 51(4). 1028–1034. 180 indexed citations
9.
Butler, Madeline, Rosanne M. Crooke, Mark J. Graham, et al.. (2000). Phosphorothioate Oligodeoxynucleotides Distribute Similarly in Class A Scavenger Receptor Knockout and Wild-Type Mice. Journal of Pharmacology and Experimental Therapeutics. 292(2). 489–496. 57 indexed citations

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.

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