Robert D. Barish

1.4k total citations · 1 hit paper
6 papers, 1.0k citations indexed

About

Robert D. Barish is a scholar working on Molecular Biology, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Robert D. Barish has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Robert D. Barish's work include Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (2 papers) and Molecular Junctions and Nanostructures (2 papers). Robert D. Barish is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (2 papers) and Molecular Junctions and Nanostructures (2 papers). Robert D. Barish collaborates with scholars based in United States, South Korea and Japan. Robert D. Barish's co-authors include Erik Winfree, Paul W. K. Rothemund, Marc Bockrath, Hareem Maune, Si‐ping Han, William A. Goddard, Rebecca Schulman, Hanying Li, Sung Ha Park and Hao Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and Nature Nanotechnology.

In The Last Decade

Robert D. Barish

6 papers receiving 973 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-assembly of carbon nanotubes into two-dimensional geometries using DNA origami templates

2009 507 citations Hareem Maune, Si‐ping Han et al. Nature Nanotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert D. Barish United States	5	855	304	144	138	132	6	1.0k
Enzo Kopperger Germany	9	877 1.0×	345 1.1×	158 1.1×	78 0.6×	50 0.4×	13	1.0k
Hieu Bui United States	14	919 1.1×	379 1.2×	76 0.5×	156 1.1×	109 0.8×	29	1.0k
Nadine Dabby United Kingdom	4	666 0.8×	267 0.9×	93 0.6×	90 0.7×	31 0.2×	6	773
Haorong Chen United States	14	735 0.9×	320 1.1×	136 0.9×	103 0.7×	85 0.6×	23	867
Nick Papadakis United States	3	807 0.9×	144 0.5×	187 1.3×	69 0.5×	32 0.2×	5	902
Kasper Jahn Denmark	7	1.8k 2.1×	603 2.0×	387 2.7×	106 0.8×	100 0.8×	7	2.0k
Alexander E. Marras United States	15	891 1.0×	354 1.2×	221 1.5×	36 0.3×	59 0.4×	31	1.2k
Jens Kopatsch United States	5	820 1.0×	147 0.5×	222 1.5×	85 0.6×	24 0.2×	7	843
Philip Petersen United States	4	550 0.6×	190 0.6×	130 0.9×	43 0.3×	40 0.3×	5	608

Countries citing papers authored by Robert D. Barish

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert D. Barish

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

All Works

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6 of 6 papers shown

1.

Barish, Robert D. & Akira Suyama. (2019). Counting Hamiltonian Cycles on Quartic 4-Vertex-Connected Planar Graphs. Graphs and Combinatorics. 36(2). 387–400. 1 indexed citations

2.

Han, Si‐ping, Hareem Maune, Robert D. Barish, Marc Bockrath, & William A. Goddard. (2012). DNA-Linker-Induced Surface Assembly of Ultra Dense Parallel Single Walled Carbon Nanotube Arrays. Nano Letters. 12(3). 1129–1135. 39 indexed citations

3.

Maune, Hareem, Si‐ping Han, Robert D. Barish, et al.. (2009). Self-assembly of carbon nanotubes into two-dimensional geometries using DNA origami templates. Nature Nanotechnology. 5(1). 61–66. 507 indexed citations breakdown →

4.

Barish, Robert D., Rebecca Schulman, Paul W. K. Rothemund, & Erik Winfree. (2009). An information-bearing seed for nucleating algorithmic self-assembly. Proceedings of the National Academy of Sciences. 106(15). 6054–6059. 168 indexed citations

5.

Barish, Robert D., Paul W. K. Rothemund, & Erik Winfree. (2005). Two Computational Primitives for Algorithmic Self-Assembly: Copying and Counting. Nano Letters. 5(12). 2586–2592. 117 indexed citations

6.

Park, Sung Ha, Robert D. Barish, Hanying Li, et al.. (2005). Three-Helix Bundle DNA Tiles Self-Assemble into 2D Lattice or 1D Templates for Silver Nanowires. Nano Letters. 5(4). 693–696. 169 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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