David W. Russell
- Molecular Biology top 0.02%
- Surgery top 0.05%
- Genetics top 0.02%
- Oncology top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.05%
- Co-authors
- Joseph L. GoldsteinMichael S. BrownJoseph SambrookWolfgang J. SchneiderErik LundJean D. WilsonS AnderssonDaniel W. Nebert
- Topics
- Virus-based gene therapy research (84 papers)CRISPR and Genetic Engineering (51 papers)Cholesterol and Lipid Metabolism (50 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David W. Russell
514 papers receiving 50.9k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Molecular Biology 29.5k
- Surgery 12.4k
- Genetics 11.2k
- Oncology 8.0k
- Endocrinology, Diabetes and Metabolism 7.1k
Countries citing papers authored by David W. Russell
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Literature Review: Student Interest and Motivation in Recorder Studies | 1 |
| 3 | 12 | |
| 4 | Guitar pedagogy and preparation for tertiary training in NSW: An exploratory mixed methods study | 1 |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 112 | |
| 8 | 190 | |
| 9 | 14 | |
| 10 | 98 | |
| 11 | 146 | |
| 12 | 194 | |
| 13 | 179 | |
| 14 | 164 | |
| 15 | Environmental software systems : proceedings of the International Symposium on Environmental Software Systems, 1995 | 6 |
| 16 | ISESS '93 A Reality Check. | 1 |
| 17 | 298 | |
| 18 | Deletion of steroid 5α-reductase 2 gene in male pseudohermaphroditismbreakdown → | 524 |
| 19 | Goal Accountability in Higher Education; Towards a Comprehensive Legal Conception of the University. | 2 |
| 20 | 5 |
About David W. Russell
David W. Russell is a scholar working on Genetics, Molecular Biology and Urology, having authored 542 papers that have together received 52.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (84 papers), CRISPR and Genetic Engineering (51 papers) and Cholesterol and Lipid Metabolism (50 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.1k citations), Molecular Biology (29.5k citations) and Genetics (11.2k citations). David W. Russell has collaborated with scholars based in United States, United Kingdom and Australia. Frequent 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. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.