Robert M. Corn

15.2k total citations · 2 hit papers
155 papers, 11.9k citations indexed

About

Robert M. Corn is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Robert M. Corn has authored 155 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 57 papers in Biomedical Engineering and 36 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Robert M. Corn's work include Advanced biosensing and bioanalysis techniques (70 papers), Advanced Biosensing Techniques and Applications (40 papers) and Molecular Junctions and Nanostructures (28 papers). Robert M. Corn is often cited by papers focused on Advanced biosensing and bioanalysis techniques (70 papers), Advanced Biosensing Techniques and Applications (40 papers) and Molecular Junctions and Nanostructures (28 papers). Robert M. Corn collaborates with scholars based in United States, Japan and France. Robert M. Corn's co-authors include Hye Jin Lee, Alastair W. Wark, Anthony G. Frutos, Daniel A. Higgins, Bryce P. Nelson, Brian L. Frey, Hye Jin Lee, Claire E. Jordan, Emily A. Smith and Aaron R. Halpern and has published in prestigious journals such as Nature, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Robert M. Corn

155 papers receiving 11.6k citations

Hit Papers

Surface Plasmon Resonance... 1994 2026 2004 2015 2000 1994 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert M. Corn 7.0k 4.7k 3.0k 2.0k 1.7k 155 11.9k
Michael J. Tarlov 5.8k 0.8× 4.1k 0.9× 5.6k 1.8× 1.2k 0.6× 1.1k 0.6× 86 11.2k
Jurriaan Huskens 3.5k 0.5× 5.3k 1.1× 4.5k 1.5× 1.8k 0.9× 1.3k 0.8× 502 17.6k
Stephen D. Evans 2.8k 0.4× 3.6k 0.8× 4.2k 1.4× 2.1k 1.0× 2.1k 1.3× 382 12.3k
Laura M. Lechuga 3.6k 0.5× 5.0k 1.1× 4.2k 1.4× 2.2k 1.1× 1.6k 0.9× 231 9.3k
Daniel K. Schwartz 3.8k 0.5× 3.1k 0.7× 2.7k 0.9× 3.1k 1.6× 1.2k 0.7× 280 11.5k
Christof M. Niemeyer 12.6k 1.8× 5.1k 1.1× 2.7k 0.9× 447 0.2× 1.5k 0.9× 351 17.6k
Roeland J. M. Nolte 9.1k 1.3× 5.3k 1.1× 4.6k 1.5× 1.5k 0.8× 2.8k 1.6× 630 34.5k
Erik Reimhult 3.6k 0.5× 3.5k 0.7× 1.5k 0.5× 1.2k 0.6× 412 0.2× 144 8.5k
Sinclair S. Yee 2.6k 0.4× 5.4k 1.2× 4.0k 1.3× 1.3k 0.6× 1.6k 0.9× 54 7.8k
Alan E. Rowan 4.8k 0.7× 3.8k 0.8× 3.1k 1.0× 1.2k 0.6× 1.7k 1.0× 345 20.4k

Countries citing papers authored by Robert M. Corn

Since Specialization
Citations

This map shows the geographic impact of Robert M. Corn'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. Corn 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. Corn more than expected).

Fields of papers citing papers by Robert M. Corn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Corn. 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. Corn. The network helps show where Robert M. Corn may publish in the future.

Co-authorship network of co-authors of Robert M. Corn

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

All Works

20 of 20 papers shown
1.
Maley, Adam M., et al.. (2019). Characterizing the Incorporation of DNA into Single NIPAm Hydrogel Nanoparticles with Surface Plasmon Resonance Imaging Measurements. The Journal of Physical Chemistry C. 123(10). 6090–6096. 11 indexed citations
2.
Aoki, Hiroshi, et al.. (2019). MicroRNA detection on microsensor arrays by SPR imaging measurements with enzymatic signal enhancement. Biosensors and Bioelectronics. 142. 111565–111565. 37 indexed citations
3.
So, Seulgi, et al.. (2017). Fabrication of PEDOT Nanocone Arrays with Electrochemically Modulated Broadband Antireflective Properties. The Journal of Physical Chemistry Letters. 8(3). 576–579. 20 indexed citations
4.
Maley, Adam M., George J. Lu, Mikhail G. Shapiro, & Robert M. Corn. (2017). Characterizing Single Polymeric and Protein Nanoparticles with Surface Plasmon Resonance Imaging Measurements. ACS Nano. 11(7). 7447–7456. 41 indexed citations
5.
Loget, Gabriel & Robert M. Corn. (2014). Silica Nanowire Arrays for Diffraction‐Based Bioaffinity Sensing. Chemistry - A European Journal. 20(34). 10802–10810. 8 indexed citations
7.
Halpern, Aaron R., Yulin Chen, Robert M. Corn, & Donghyun Kim. (2011). Surface Plasmon Resonance Phase Imaging Measurements of Patterned Monolayers and DNA Adsorption onto Microarrays. Analytical Chemistry. 83(7). 2801–2806. 63 indexed citations
8.
Lee, Hye Jin, Alastair W. Wark, & Robert M. Corn. (2008). Enhanced bioaffinity sensing using surface plasmons, surface enzyme reactions, nanoparticles and diffraction gratings. The Analyst. 133(5). 596–596. 27 indexed citations
9.
Lamboy, Jorge A., et al.. (2008). Chemical and Genetic Wrappers for Improved Phage and RNA Display. ChemBioChem. 9(17). 2846–2852. 30 indexed citations
10.
Wark, Alastair W., Hye Jin Lee, & Robert M. Corn. (2007). Multiplexed Detection Methods for Profiling MicroRNA Expression in Biological Samples. Angewandte Chemie International Edition. 47(4). 644–652. 246 indexed citations
11.
Wark, Alastair W., et al.. (2006). Surface Plasmon Resonance Imaging Measurements of Protein Interactions With Biopolymer Microarrays. Humana Press eBooks. 328. 113–130. 14 indexed citations
12.
Li, Yuan, Hye Jin Lee, & Robert M. Corn. (2006). Fabrication and characterization of RNA aptamer microarrays for the study of protein–aptamer interactions with SPR imaging. Nucleic Acids Research. 34(22). 6416–6424. 107 indexed citations
13.
Lee, Hye Jin, Yuling Yan, Gerard Marriott, & Robert M. Corn. (2004). Quantitative functional analysis of protein complexes on surfaces. The Journal of Physiology. 563(1). 61–71. 39 indexed citations
14.
Nelson, Bryce P., et al.. (2002). Label‐free detection of 16S ribosomal RNA hybridization on reusable DNA arrays using surface plasmon resonance imaging. Environmental Microbiology. 4(11). 735–743. 37 indexed citations
15.
Condon, Anne, et al.. (2000). On combinatorial DNA word design. 75–89. 18 indexed citations
16.
Liu, Qinghua, Liman Wang, Anthony G. Frutos, et al.. (2000). DNA computing on surfaces. Nature. 403(6766). 175–179. 343 indexed citations
17.
Liu, Qinghua, Anthony G. Frutos, Liman Wang, et al.. (1999). Progress toward demonstration of a surface based DNA computation: a one word approach to solve a model satisfiability problem. Biosystems. 52(1-3). 25–33. 10 indexed citations
18.
Liu, Qinghua, Zhen Guo, Zhengdong Fei, et al.. (1998). A surface-based approach to DNA computation. 123–132. 8 indexed citations
19.
Smith, Lloyd M., Robert M. Corn, Anne Condon, et al.. (1998). A Surface-Based Approach to DNA Computation. Journal of Computational Biology. 5(2). 255–267. 58 indexed citations
20.
Corn, Robert M., M. Romagnoli, M. D. Levenson, & Michael R. Philpott. (1984). Second-harmonic generation from thin-film silver electrodes via surface plasmons (A). Journal of the Optical Society of America B. 1. 446. 1 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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