Robert D. Barish
Impact in
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- DNA and Biological Computing
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research
Papers in
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- Advanced biosensing and bioanalysis techniques 4
- RNA Interference and Gene Delivery 2
- DNA and Nucleic Acid Chemistry 1
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- Quantum-Dot Cellular Automata 1
- Complexity and Algorithms in Graphs 1
- Co-authors
- Erik Winfree (3 shared papers)Paul W. K. Rothemund (3 shared papers)Si‐ping Han (2 shared papers)Marc Bockrath (2 shared papers)Hareem Maune (2 shared papers)William A. Goddard (1 shared paper)Rebecca Schulman (1 shared paper)Sung Ha Park (1 shared paper)
- Journals
- Nano Letters (3 papers)Graphs and Combinatorics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Nanotechnology (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Robert D. Barish
6 papers receiving 973 citations
Robert D. Barish's Hit Papers
Peers
Comparison fields: 5 of 54
- Molecular Biology 855
- Biomedical Engineering 304
- Ecology 144
- Electronic, Optical and Magnetic Materials 80
- Biomaterials 57
Countries citing papers authored by Robert D. Barish
This map shows the geographic impact of Robert D. Barish'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 D. Barish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Barish more than expected).
Fields of papers citing papers by Robert D. Barish
This network shows the impact of papers produced by Robert D. Barish. 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 D. Barish. The network helps show where Robert D. Barish may publish in the future.
Co-authors
The 15 scholars most cited alongside Robert D. Barish, 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 | Self-assembly of carbon nanotubes into two-dimensional geometries using DNA origami templates Hit paper breakdown → | 2009 | 507 |
| 2 | 2005 | 169 | |
| 3 | 2009 | 168 | |
| 4 | 2005 | 117 | |
| 5 | 2012 | 39 | |
| 6 | 2019 | 1 |
About Robert D. Barish
Robert D. Barish is a scholar working on Molecular Biology, Computational Theory and Mathematics, Electrical and Electronic Engineering, Biomaterials and Mechanical Engineering, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Molecular Junctions and Nanostructures (2 papers), RNA Interference and Gene Delivery (2 papers), Quantum-Dot Cellular Automata (1 paper), Complexity and Algorithms in Graphs (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Molecular Biology (855 citations), Biomedical Engineering (304 citations), Ecology (144 citations), Electronic, Optical and Magnetic Materials (80 citations) and Biomaterials (57 citations). Robert D. Barish has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Erik Winfree, Paul W. K. Rothemund, Si‐ping Han, Marc Bockrath, Hareem Maune, William A. Goddard, Rebecca Schulman, Sung Ha Park, Thomas H. LaBean and Hanying Li. Their work appears in journals such as Nano Letters, Graphs and Combinatorics, Proceedings of the National Academy of Sciences and Nature Nanotechnology.
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.