David W. Russell

70.4k total citations · 26 hit papers
542 papers, 52.6k citations indexed

About

David W. Russell is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, David W. Russell has authored 542 papers receiving a total of 52.6k indexed citations (citations by other indexed papers that have themselves been cited), including 302 papers in Molecular Biology, 136 papers in Genetics and 81 papers in Surgery. Recurrent topics in David W. Russell's work include Virus-based gene therapy research (84 papers), CRISPR and Genetic Engineering (51 papers) and Cholesterol and Lipid Metabolism (50 papers). David W. Russell is often cited by papers focused on Virus-based gene therapy research (84 papers), CRISPR and Genetic Engineering (51 papers) and Cholesterol and Lipid Metabolism (50 papers). David W. Russell collaborates with scholars based in United States, United Kingdom and Australia. David W. Russell's co-authors include Joseph L. Goldstein, Michael S. Brown, Joseph Sambrook, Wolfgang J. Schneider, Erik Lund, Jean D. Wilson, S Andersson, Daniel W. Nebert, Steven L. McKnight and Pei-Rong Wang and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

David W. Russell

514 papers receiving 50.9k citations

Hit Papers

The Enzymes, Regulation, and Genetics of Bile A... 1984 2026 1998 2012 2003 1985 2005 1984 1989 500 1000 1.5k

Peers

David W. Russell
Charis Eng United States
Michael B. Sporn United States
Aldons J. Lusis United States
Bert W. O’Malley United States
David Altshuler United States
Francis S. Collins United States
Stephen B. Baylin United States
Christopher K. Glass United States
Bryan Williams United Kingdom
Eric Boerwinkle United States
Charis Eng United States
David W. Russell
Citations per year, relative to David W. Russell David W. Russell (= 1×) peers Charis Eng

Countries citing papers authored by David W. Russell

Since Specialization
Citations

This map shows the geographic impact of David W. Russell'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 David W. Russell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Russell more than expected).

Fields of papers citing papers by David W. Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Russell. 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 David W. Russell. The network helps show where David W. Russell may publish in the future.

Co-authorship network of co-authors of David W. Russell

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Russell. A scholar is included among the top collaborators of David W. Russell 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 David W. Russell. David W. Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smith, Richard H., Danielle Fink, Keyvan Keyvanfar, et al.. (2022). Preclinical Evaluation of Foamy Virus Vector-Mediated Gene Addition in Human Hematopoietic Stem/Progenitor Cells for Correction of Leukocyte Adhesion Deficiency Type 1. Human Gene Therapy. 33(23-24). 1293–1304. 2 indexed citations
2.
Russell, David W., et al.. (2020). Literature Review: Student Interest and Motivation in Recorder Studies. 20(1). 3. 1 indexed citations
3.
Ruiz‐Gutierrez, Melisa, Özge Vargel Bölükbaşı, Gabriela Alexe, et al.. (2019). Therapeutic discovery for marrow failure with MDS predisposition using pluripotent stem cells. JCI Insight. 4(12). 12 indexed citations
4.
Russell, David W. & Paul Evans. (2015). Guitar pedagogy and preparation for tertiary training in NSW: An exploratory mixed methods study. Australian journal of music education/Australian journal of music education (Online). 52. 1 indexed citations
5.
Ohmine, Ken, Yi Li, Thomas R. Bauer, Dennis D. Hickstein, & David W. Russell. (2010). Tracking of Specific Integrant Clones in Dogs Treated with Foamy Virus Vectors. Human Gene Therapy. 22(2). 217–224. 7 indexed citations
6.
Trobridge, Grant D., James M. Allen, Laura J. Peterson, et al.. (2009). Foamy and Lentiviral Vectors Transduce Canine Long-Term Repopulating Cells at Similar Efficiency. Human Gene Therapy. 20(5). 519–523. 19 indexed citations
7.
Bauer, Thomas R., James M. Allen, Mehreen Hai, et al.. (2007). Successful treatment of canine leukocyte adhesion deficiency by foamy virus vectors. Nature Medicine. 14(1). 93–97. 112 indexed citations
8.
Yildiz, Yildiz, H. Matern, Bonne M. Thompson, et al.. (2006). Mutation of β-glucosidase 2 causes glycolipid storage disease and impaired male fertility. Journal of Clinical Investigation. 116(11). 2985–2994. 190 indexed citations
9.
Hirata, Roli K., Cong Xu, Rong Dong, et al.. (2004). Efficient PRNP Gene Targeting in Bovine Fibroblasts by Adeno-Associated Virus Vectors. Cloning and Stem Cells. 6(1). 31–36. 14 indexed citations
10.
Miller, Daniel G., Lisa M. Petek, & David W. Russell. (2003). Human Gene Targeting by Adeno-Associated Virus Vectors Is Enhanced by DNA Double-Strand Breaks. Molecular and Cellular Biology. 23(10). 3550–3557. 98 indexed citations
11.
Grandori, Carla, Kou-Juey Wu, Paula Fernández, et al.. (2003). Werner syndrome protein limits MYC-induced cellular senescence. Genes & Development. 17(13). 1569–1574. 146 indexed citations
12.
Li-Hawkins, Jia, Mats Gåfvels, Maria Olin, et al.. (2002). Cholic acid mediates negative feedback regulation of bile acid synthesis in mice. Journal of Clinical Investigation. 110(8). 1191–1200. 194 indexed citations
13.
Russell, David W.. (1999). Nuclear Orphan Receptors Control Cholesterol Catabolism. Cell. 97(5). 539–542. 179 indexed citations
14.
Tian, Hui, Xu Li, Huijun Z. Ring, et al.. (1997). Molecular characterization of two mammalian bHLH-PAS domain proteins selectively expressed in the central nervous system. Proceedings of the National Academy of Sciences. 94(2). 713–718. 164 indexed citations
15.
Denzer, Ralf, Gerald Schimak, & David W. Russell. (1996). Environmental software systems : proceedings of the International Symposium on Environmental Software Systems, 1995. Chapman & Hall eBooks. 6 indexed citations
16.
Russell, David W.. (1993). ISESS '93 A Reality Check.. Software Engineering and Knowledge Engineering. 637–640. 1 indexed citations
17.
Thigpen, Anice E., Daphne L. Davis, Athena Milatovich, et al.. (1992). Molecular genetics of steroid 5 alpha-reductase 2 deficiency.. Journal of Clinical Investigation. 90(3). 799–809. 298 indexed citations
18.
Andersson, Stefan, et al.. (1991). Deletion of steroid 5α-reductase 2 gene in male pseudohermaphroditism. Nature. 354(6349). 159–161. 524 indexed citations breakdown →
19.
Russell, David W.. (1978). Goal Accountability in Higher Education; Towards a Comprehensive Legal Conception of the University.. Scholar Commons (University of South Carolina). 7(4). 2 indexed citations
20.
Russell, David W., et al.. (1970). A Julia Set Methodology For The Detection OfTransient Chaotic Oscillations In ContinuousControl Systems. WIT transactions on information and communication technologies. 16. 5 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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