Robert M. Stephens
- Cancer Research top 0.1%
- MicroRNA in disease regulation 18
- Cancer-related molecular mechanisms research 16
- Molecular Biology top 0.2%
- Gene expression and cancer classification 20
- Protein Kinase Regulation and GTPase Signaling 15
- Bioinformatics and Genomic Networks 13
- Genomics and Chromatin Dynamics 12
- Circular RNAs in diseases 12
- RNA and protein synthesis mechanisms 11
- Developmental Neuroscience top 1%
- Virology top 1%
Robert M. Stephens
151 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 5.9k
- Molecular Biology 13.3k
- Developmental Neuroscience 445
- Cellular and Molecular Neuroscience 1.9k
- Virology 470
Countries citing papers authored by Robert M. Stephens
This map shows the geographic impact of Robert M. Stephens'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 Robert M. Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Stephens more than expected).
Fields of papers citing papers by Robert M. Stephens
This network shows the impact of papers produced by Robert M. Stephens. 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 Robert M. Stephens. The network helps show where Robert M. Stephens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert M. Stephens, 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 | 2020 | 10 | |
| 2 | 2018 | 38 | |
| 3 | Assessing Community Health Priorities and Perceptions about Health Research: A Foundation for a Community-Engaged Research Program | 2018 | 7 |
| 4 | 2017 | 6 | |
| 5 | 2014 | 22 | |
| 6 | 2013 | 19 | |
| 7 | 2012 | 21 | |
| 8 | 2011 | 245 | |
| 9 | 2011 | 43 | |
| 10 | 2010 | 129 | |
| 11 | 2009 | 15 | |
| 12 | 2008 | 150 | |
| 13 | Genomic Profiling of MicroRNA and Messenger RNA Reveals Deregulated MicroRNA Expression in Prostate Cancerbreakdown → | 2008 | 591 |
| 14 | 2008 | 386 | |
| 15 | 2008 | 69 | |
| 16 | 2008 | 43 | |
| 17 | 2008 | 289 | |
| 18 | Secondary Lead Poisoning in Golden Eagle and Ferruginous Hawk Chicks consuming Shot Black-tailed Prairie Dogs, Thunder Basin National Grassland, Wyoming | 2005 | 2 |
| 19 | 2003 | 45 | |
| 20 | 1992 | 73 |
About Robert M. Stephens
Robert M. Stephens is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 151 papers that have together received 19.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (16 papers), Protein Kinase Regulation and GTPase Signaling (15 papers), Bioinformatics and Genomic Networks (13 papers), Genomics and Chromatin Dynamics (12 papers), Circular RNAs in diseases (12 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Cancer Research (5.9k citations), Molecular Biology (13.3k citations) and Developmental Neuroscience (445 citations). Robert M. Stephens has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Thomas D. Schneider, Ming Yi, David R. Kaplan, Richard A. Lempicki, Da Wei Huang, Brad T. Sherman, Michael Baseler, H. Clifford Lane, Carlo M. Croce and George A. Calin. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Journal of Biological Chemistry, Journal of Virology and Cancer 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.