David R. Simpson
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal
Papers in
-
- Medical Imaging Techniques and Applications 1
- Co-authors
- Scott W. Lowe (1 shared paper)Gregory J. Hannon (1 shared paper)Ross A. Dickins (1 shared paper)Michael T. Hemann (1 shared paper)Ingrid Ibarra (1 shared paper)Jack T. Zilfou (1 shared paper)E. Alejandro Sweet‐Cordero (5 shared papers)Alex G. Lee (3 shared papers)
- Journals
- Journal of Pharmaceutical Sciences (1 paper)Nature Genetics (1 paper)Nature Medicine (1 paper)Blood (1 paper)Water Research (1 paper)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
David R. Simpson
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 225
- Pollution 153
- Health, Toxicology and Mutagenesis 163
- Molecular Biology 571
- Water Science and Technology 100
Countries citing papers authored by David R. Simpson
This map shows the geographic impact of David R. Simpson'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 R. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Simpson more than expected).
Fields of papers citing papers by David R. Simpson
This network shows the impact of papers produced by David R. Simpson. 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 R. Simpson. The network helps show where David R. Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside David R. Simpson, 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 | 2005 | 419 | |
| 2 | 2008 | 320 | |
| 3 | 2018 | 178 | |
| 4 | 2019 | 51 | |
| 5 | 2003 | 30 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 17 | |
| 8 | Effectiveness of multidisciplinary patient counselling in reducing cardiovascular disease risk factors through nonpharmacological intervention: results from the Healthy Heart Program. | 2004 | 10 |
| 9 | 2011 | 8 | |
| 10 | 2014 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2012 | 2 | |
| 13 | 1983 | 2 | |
| 14 | 2013 | 1 |
About David R. Simpson
David R. Simpson is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Epidemiology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (1 paper), MicroRNA in disease regulation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Health and Lifestyle Studies (1 paper), Computational Drug Discovery Methods (1 paper), Medical Imaging Techniques and Applications (1 paper), Water Treatment and Disinfection (1 paper) and Radioactive contamination and transfer (1 paper). The work is most often cited by research in Cancer Research (225 citations), Pollution (153 citations), Health, Toxicology and Mutagenesis (163 citations), Molecular Biology (571 citations) and Water Science and Technology (100 citations). David R. Simpson has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Scott W. Lowe, Gregory J. Hannon, Ross A. Dickins, Michael T. Hemann, Ingrid Ibarra, Jack T. Zilfou, E. Alejandro Sweet‐Cordero, Alex G. Lee, Anthony Le and Davide Ruggero. Their work appears in journals such as Journal of Pharmaceutical Sciences, Nature Genetics, Nature Medicine, Blood and Water Research.
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.