David J. Elliott
- Molecular Biology top 1%
- Genetics top 1%
- Cancer Research top 2%
- Reproductive Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Jennifer MunkleyHoward T. JacobsCaroline DalglieshIngrid EhrmannPrabhakar RajanCraig RobsonHing Y. LeungAndrew J. Farquharson
- Topics
- RNA Research and Splicing (57 papers)RNA modifications and cancer (36 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (25 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
David J. Elliott
135 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 4.8k
- Genetics 1.4k
- Cancer Research 983
- Reproductive Medicine 797
- Public Health, Environmental and Occupational Health 497
Countries citing papers authored by David J. Elliott
This map shows the geographic impact of David J. Elliott'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 J. Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Elliott more than expected).
Fields of papers citing papers by David J. Elliott
This network shows the impact of papers produced by David J. Elliott. 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 J. Elliott. The network helps show where David J. Elliott may publish in the future.
Co-authorship network of co-authors of David J. Elliott
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Elliott. A scholar is included among the top collaborators of David J. Elliott 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 J. Elliott. David J. Elliott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 22 | |
| 9 | SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditionsbreakdown → | 355 |
| 10 | 43 | |
| 11 | 89 | |
| 12 | 75 | |
| 13 | 61 | |
| 14 | 37 | |
| 15 | 19 | |
| 16 | 15 | |
| 17 | 9 | |
| 18 | 3 | |
| 19 | 42 | |
| 20 | The Concept of Creativity: Implications for Music Education. | 4 |
About David J. Elliott
David J. Elliott is a scholar working on Reproductive Medicine, Molecular Biology and Cancer Research, having authored 138 papers that have together received 6.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (57 papers), RNA modifications and cancer (36 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (25 papers). The work is most often cited by research in Reproductive Medicine (797 citations), Molecular Biology (4.8k citations) and Cancer Research (983 citations). David J. Elliott has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jennifer Munkley, Howard T. Jacobs, Caroline Dalgliesh, Ingrid Ehrmann, Prabhakar Rajan, Craig Robson, Hing Y. Leung, Andrew J. Farquharson, V. B. Math and Howard J. Cooke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.