Russell Deaton

1.8k total citations
55 papers, 838 citations indexed

About

Russell Deaton is a scholar working on Molecular Biology, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Russell Deaton has authored 55 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Mechanical Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Russell Deaton's work include Advanced biosensing and bioanalysis techniques (39 papers), DNA and Biological Computing (29 papers) and Modular Robots and Swarm Intelligence (12 papers). Russell Deaton is often cited by papers focused on Advanced biosensing and bioanalysis techniques (39 papers), DNA and Biological Computing (29 papers) and Modular Robots and Swarm Intelligence (12 papers). Russell Deaton collaborates with scholars based in United States, Japan and South Korea. Russell Deaton's co-authors include Max Garzón, Wilburn E. Reddick, John O. Glass, T. David Elkin, Jin-Woo Kim, John A. Rose, S. Edward Stevens, Donald R. Franceschetti, R.C. Murphy and Jin‐Woo Kim and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and Applied Physics Letters.

In The Last Decade

Russell Deaton

51 papers receiving 788 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Russell Deaton United States	14	491	140	135	111	96	55	838
David Mayerich United States	17	204 0.4×	126 0.9×	74 0.5×	265 2.4×	20 0.2×	80	1.1k
Xiuli Liu China	15	105 0.2×	65 0.5×	82 0.6×	63 0.6×	63 0.7×	56	614
Dylan Bannon United States	3	268 0.5×	107 0.8×	118 0.9×	183 1.6×	16 0.2×	3	871
Fuhao Zhang China	16	611 1.2×	60 0.4×	32 0.2×	42 0.4×	16 0.2×	43	931
Zhiqing Wu China	13	90 0.2×	49 0.3×	137 1.0×	131 1.2×	55 0.6×	33	972
Martin Bak Denmark	10	191 0.4×	58 0.4×	18 0.1×	117 1.1×	15 0.2×	17	567
Xuemei Dong China	17	239 0.5×	86 0.6×	62 0.5×	175 1.6×	32 0.3×	65	1.1k
Hao Chu China	17	133 0.3×	71 0.5×	35 0.3×	75 0.7×	22 0.2×	58	756
Ning Lin China	14	94 0.2×	153 1.1×	114 0.8×	59 0.5×	18 0.2×	73	649
Daisuke Inoue Japan	21	433 0.9×	77 0.6×	23 0.2×	280 2.5×	243 2.5×	56	1.3k

Countries citing papers authored by Russell Deaton

Since Specialization

Citations

This map shows the geographic impact of Russell Deaton'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 Russell Deaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russell Deaton more than expected).

Fields of papers citing papers by Russell Deaton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell Deaton. 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 Russell Deaton. The network helps show where Russell Deaton may publish in the future.

Co-authorship network of co-authors of Russell Deaton

This figure shows the co-authorship network connecting the top 25 collaborators of Russell Deaton. A scholar is included among the top collaborators of Russell Deaton 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 Russell Deaton. Russell Deaton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Garzón, Max & Russell Deaton. (2025). Self-assembly of generative heterogeneous electric circuits. Scientific Reports. 15(1). 15401–15401.

Deaton, Russell, et al.. (2022). Logical computation with self-assembling electric circuits. PLoS ONE. 17(12). e0278033–e0278033.

Deaton, Russell, et al.. (2022). Systems of axon-like circuits for self-assembled and self-controlled growth of bioelectric networks. Scientific Reports. 12(1). 13371–13371. 4 indexed citations

Lee, Jihoon, Seung Hwan Lee, Christina Baek, et al.. (2017). In vitro molecular machine learning algorithm via symmetric internal loops of DNA. Biosystems. 158. 1–9. 5 indexed citations

Kim, Jin‐Woo, Jeong‐Hwan Kim, & Russell Deaton. (2011). DNA‐Linked Nanoparticle Building Blocks for Programmable Matter. Angewandte Chemie. 123(39). 9351–9356. 3 indexed citations

Kim, Jin‐Woo, et al.. (2011). DNA‐Linked Nanoparticle Building Blocks for Programmable Matter. Angewandte Chemie International Edition. 50(39). 9185–9190. 77 indexed citations

Deaton, Russell & Akira Suyama. (2009). DNA Computing and Molecular Programming: 15th International Conference, DNA 15, Fayetteville, AR, USA, June 8-11, 2009, Revised Selected Papers. DIAL (Catholic University of Leuven). 3 indexed citations

Yu, Weixia, et al.. (2009). Independent Sets of DNA Oligonucleotides for Nanotechnology Applications. IEEE Transactions on NanoBioscience. 9(1). 38–43. 5 indexed citations

Rose, John A., Russell Deaton, Masami Hagiya, & Akira Suyama. (2007). Coupled Equilibrium Model of Hybridization Error for the DNA Microarray and Tag–Antitag Systems. IEEE Transactions on NanoBioscience. 6(1). 18–27. 5 indexed citations

10.

Deaton, Russell & Weixia Yu. (2005). Generating large libraries of non-crosshybridizing dna oligonucleotides. 2 indexed citations

11.

Kim, Jin-Woo, et al.. (2005). Estimating the sequence complexity of a random oligonucleotide population by using in vitro thermal melting and Cot analyses. Nanomedicine Nanotechnology Biology and Medicine. 1(3). 220–230. 8 indexed citations

12.

Chen, Junghuei, et al.. (2004). The Ultra High Density Storage of Non-Biological Information in a Memory Composed of DNA Molecules. Defense Technical Information Center (DTIC).

13.

Bi, Hong, Junghuei Chen, Russell Deaton, et al.. (2003). In vitro selection of non-crosshybridizing oligonucleotides for computation. Natural Computing. 2(4). 417–426. 6 indexed citations

14.

Rose, John A., Russell Deaton, Masami Hagiya, & Akira Suyama. (2002). Equilibrium analysis of the efficiency of an autonomous molecular computer. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(2). 21910–21910. 12 indexed citations

15.

Rose, John A., Masami Hagiya, Russell Deaton, & Akira Suyama. (2002). A DNA-based in vitroGenetic Program. Journal of Biological Physics. 28(3). 493–498. 16 indexed citations

16.

Rose, John A., Russell Deaton, Donald R. Franceschetti, Max Garzón, & S. Edward Stevens. (1999). A statistical mechanical treatment of error in the annealing biostep of DNA computation. Genetic and Evolutionary Computation Conference. 1829–1834. 21 indexed citations

17.

Garzón, Max, et al.. (1999). On Self-Assembling Graphs in vitro.. Genetic and Evolutionary Computation Conference. 1805–1809. 2 indexed citations

18.

Rose, John A. & Russell Deaton. (1999). The fidelity of dna computation. 1 indexed citations

19.

Deaton, Russell. (1998). Thermodynamic Constraints on DNA-based Computing. 15 indexed citations

20.

Reddick, Wilburn E., et al.. (1997). Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks. IEEE Transactions on Medical Imaging. 16(6). 911–918. 220 indexed citations

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.

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