Warren D. Gray
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
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- Extracellular vesicles in disease 4
- RNA Interference and Gene Delivery 3
- Circular RNAs in diseases 2
- Advanced biosensing and bioanalysis techniques 1
- Machine Learning in Bioinformatics 1
- Signaling Pathways in Disease 1
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- MicroRNA in disease regulation 5
- Co-authors
- Charles Searles (6 shared papers)Michael Davis (4 shared papers)Adam Mitchell (2 shared papers)Joshua T. Maxwell (2 shared papers)Milton E. Brown (1 shared paper)Kristin M. French (1 shared paper)Manu O. Platt (1 shared paper)Shohini Ghosh-Choudhary (1 shared paper)
- Journals
- Scientific Reports (1 paper)MethodsX (1 paper)Interface Focus (1 paper)Circulation Research (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Warren D. Gray
9 papers receiving 656 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 333
- Molecular Biology 566
- Cardiology and Cardiovascular Medicine 104
- Biomaterials 55
- Immunology and Allergy 17
Countries citing papers authored by Warren D. Gray
This map shows the geographic impact of Warren D. Gray'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 Warren D. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren D. Gray more than expected).
Fields of papers citing papers by Warren D. Gray
This network shows the impact of papers produced by Warren D. Gray. 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 Warren D. Gray. The network helps show where Warren D. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Warren D. Gray, 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 | 2014 | 318 | |
| 2 | 2015 | 104 | |
| 3 | 2016 | 85 | |
| 4 | 2012 | 59 | |
| 5 | 2014 | 58 | |
| 6 | 2012 | 13 | |
| 7 | 2015 | 11 | |
| 8 | 2016 | 10 | |
| 9 | Systemic embolism in rheumatic heart disease. | 1969 | 2 |
| 10 | 2015 | 0 |
About Warren D. Gray
Warren D. Gray is a scholar working on Molecular Biology, Cancer Research, Polymers and Plastics, Internal Medicine and Epidemiology, having authored 10 papers that have together received 660 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers), RNA Interference and Gene Delivery (3 papers), Dendrimers and Hyperbranched Polymers (2 papers), Circular RNAs in diseases (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cancer Research (333 citations), Molecular Biology (566 citations), Cardiology and Cardiovascular Medicine (104 citations), Biomaterials (55 citations) and Immunology and Allergy (17 citations). Warren D. Gray has collaborated with scholars based in United States and China. Frequent co-authors include Charles Searles, Michael Davis, Adam Mitchell, Joshua T. Maxwell, Milton E. Brown, Kristin M. French, Manu O. Platt, Shohini Ghosh-Choudhary, Ying Luo and Jie Liu. Their work appears in journals such as Scientific Reports, MethodsX, Interface Focus, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.
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.