David C. Torney
- Molecular Biology top 5%
- Genetics top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Cell Biology top 5%
- Artificial Intelligence top 5%
- Co-authors
- Micah DemboDaniel A. HammerHarden M. McConnellRobert K. MoyzisRaymond L. StallingsC.E. HildebrandH M McConnellS. Brennan
- Topics
- RNA and protein synthesis mechanisms (11 papers)Advanced biosensing and bioanalysis techniques (11 papers)DNA and Biological Computing (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Chemical Physics
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
David C. Torney
66 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 1.4k
- Genetics 421
- Atomic and Molecular Physics, and Optics 413
- Cell Biology 328
- Artificial Intelligence 303
Countries citing papers authored by David C. Torney
This map shows the geographic impact of David C. Torney'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 C. Torney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Torney more than expected).
Fields of papers citing papers by David C. Torney
This network shows the impact of papers produced by David C. Torney. 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 C. Torney. The network helps show where David C. Torney may publish in the future.
Co-authorship network of co-authors of David C. Torney
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Torney. A scholar is included among the top collaborators of David C. Torney 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 C. Torney. David C. Torney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 49 | |
| 5 | 3 | |
| 6 | 93 | |
| 7 | Greedy algorithms for optimized DNA sequencing | 1 |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 21 | |
| 11 | 15 | |
| 12 | 99 | |
| 13 | 98 | |
| 14 | 36 | |
| 15 | 21 | |
| 16 | 71 | |
| 17 | 165 | |
| 18 | The reaction-limited kinetics of membrane-to-surface adhesion and detachmentbreakdown → | 595 |
| 19 | 125 | |
| 20 | 22 |
About David C. Torney
David C. Torney is a scholar working on Discrete Mathematics and Combinatorics, Radiation and Mathematical Physics, having authored 68 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Advanced biosensing and bioanalysis techniques (11 papers) and DNA and Biological Computing (7 papers). The work is most often cited by research in Immunology and Allergy (207 citations), Cell Biology (328 citations) and Molecular Biology (1.4k citations). David C. Torney has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Micah Dembo, Daniel A. Hammer, Harden M. McConnell, Robert K. Moyzis, Raymond L. Stallings, C.E. Hildebrand, H M McConnell, S. Brennan, David J. Balding and James W. Fickett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.