R. Scott Martin

4.8k total citations
95 papers, 4.0k citations indexed

About

R. Scott Martin is a scholar working on Biomedical Engineering, Bioengineering and Electrical and Electronic Engineering. According to data from OpenAlex, R. Scott Martin has authored 95 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Biomedical Engineering, 24 papers in Bioengineering and 19 papers in Electrical and Electronic Engineering. Recurrent topics in R. Scott Martin's work include Microfluidic and Capillary Electrophoresis Applications (72 papers), Innovative Microfluidic and Catalytic Techniques Innovation (43 papers) and Microfluidic and Bio-sensing Technologies (32 papers). R. Scott Martin is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (72 papers), Innovative Microfluidic and Catalytic Techniques Innovation (43 papers) and Microfluidic and Bio-sensing Technologies (32 papers). R. Scott Martin collaborates with scholars based in United States, Belgium and Ireland. R. Scott Martin's co-authors include Susan M. Lunte, Dana M. Spence, Andrew J. Gawron, Nathan A. Lacher, Chengpeng Chen, Asmira Selimovic, Sarah Y. Lockwood, Benjamin T. Mehl, Charles S. Henry and Bryan H. Huynh and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry C and Chemosphere.

In The Last Decade

R. Scott Martin

92 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Scott Martin United States 34 3.3k 1000 817 534 347 95 4.0k
Jie Hu China 35 1.8k 0.6× 3.0k 3.0× 1.0k 1.3× 397 0.7× 281 0.8× 198 4.5k
Paul Pantano United States 26 953 0.3× 589 0.6× 450 0.6× 388 0.7× 418 1.2× 56 2.0k
Artur Dybko Poland 27 1.1k 0.3× 798 0.8× 515 0.6× 249 0.5× 217 0.6× 103 2.1k
Lijun Ma China 33 721 0.2× 945 0.9× 268 0.3× 190 0.4× 481 1.4× 127 3.0k
Sohee Lee South Korea 20 525 0.2× 613 0.6× 225 0.3× 444 0.8× 301 0.9× 75 1.7k
Jun Kameoka United States 28 2.0k 0.6× 1.1k 1.1× 256 0.3× 78 0.1× 419 1.2× 101 3.1k
Zhen Jin China 29 1.8k 0.6× 1.3k 1.3× 548 0.7× 136 0.3× 360 1.0× 64 3.6k
Gemma Gabriel Spain 22 843 0.3× 679 0.7× 301 0.4× 194 0.4× 229 0.7× 56 1.7k
Han Jin China 30 1.0k 0.3× 1.2k 1.2× 466 0.6× 59 0.1× 302 0.9× 118 2.7k
Jochen Kieninger Germany 22 961 0.3× 620 0.6× 381 0.5× 378 0.7× 292 0.8× 72 1.7k

Countries citing papers authored by R. Scott Martin

Since Specialization
Citations

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

Fields of papers citing papers by R. Scott Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Scott Martin. 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 R. Scott Martin. The network helps show where R. Scott Martin may publish in the future.

Co-authorship network of co-authors of R. Scott Martin

This figure shows the co-authorship network connecting the top 25 collaborators of R. Scott Martin. A scholar is included among the top collaborators of R. Scott Martin 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 R. Scott Martin. R. Scott Martin 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.
Karunarathne, Ajith, et al.. (2025). 3D Printed Transwell Microfluidic Devices for Epithelial Cell Culture with Shear Stress. ACS Measurement Science Au. 5(4). 547–558.
2.
Martin, R. Scott, et al.. (2023). Oscillations and bistability of complex electrochemical reactions in 3D printed microfluidic devices. Journal of Electroanalytical Chemistry. 948. 117830–117830. 1 indexed citations
3.
Hayter, Edward A., et al.. (2022). Red blood cells in type 1 diabetes and multiple sclerosis and technologies to measure their emerging roles. Journal of Translational Autoimmunity. 5. 100161–100161.
4.
Podicheti, Ram, et al.. (2021). A Hybrid Nanofiber/Paper Cell Culture Platform for Building a 3D Blood–Brain Barrier Model. Small Methods. 5(9). 13 indexed citations
5.
Chen, Chengpeng, et al.. (2018). Use of 3D printing and modular microfluidics to integrate cell culture, injections and electrochemical analysis. Analytical Methods. 10(27). 3364–3374. 30 indexed citations
6.
Chen, Chengpeng, et al.. (2017). Microchip-based 3D-cell culture using polymer nanofibers generated by solution blow spinning. Analytical Methods. 9(22). 3274–3283. 22 indexed citations
7.
Selimovic, Asmira, et al.. (2013). Microchip-based electrochemical detection for monitoring cellular systems. Analytical and Bioanalytical Chemistry. 405(10). 3013–3020. 21 indexed citations
8.
Selimovic, Asmira, et al.. (2011). Use of epoxy‐embedded electrodes to integrate electrochemical detection with microchip‐based analysis systems. Electrophoresis. 32(8). 822–831. 26 indexed citations
9.
Martin, R. Scott, et al.. (2009). Integration of serpentine channels for microchip electrophoresis with a palladium decoupler and electrochemical detection. Electrophoresis. 30(19). 3347–3354. 17 indexed citations
10.
Martin, R. Scott, et al.. (2008). Selective detection of endogenous thiols using microchip-based flow analysis and mercury/gold amalgam microelectrodes. The Analyst. 134(2). 372–379. 21 indexed citations
12.
Tolan, Nicole V., et al.. (2007). Addressing a vascular endothelium array with blood components using underlying microfluidic channels. Lab on a Chip. 7(10). 1256–1256. 55 indexed citations
13.
Moehlenbrock, Michael J., Alexander K. Price, & R. Scott Martin. (2006). Use of microchip-based hydrodynamic focusing to measure the deformation-induced release of ATP from erythrocytes. The Analyst. 131(8). 930–930. 40 indexed citations
14.
Martin, R. Scott. (2006). Interfacing Amperometric Detection With Microchip Capillary Electrophoresis. Humana Press eBooks. 339. 85–112. 13 indexed citations
15.
Kovarik, Michelle L., et al.. (2004). Fabrication of carbon microelectrodes with a micromolding technique and their use in microchip-based flow analyses. The Analyst. 129(5). 400–400. 54 indexed citations
16.
Spence, Dana M., et al.. (2004). Amperometric determination of nitric oxide derived from pulmonary artery endothelial cells immobilized in a microchip channel. The Analyst. 129(11). 995–995. 54 indexed citations
17.
18.
Vandaveer, Walter R., et al.. (2002). Recent developments in amperometric detection for microchip capillary electrophoresis. Electrophoresis. 23(21). 3667–3677. 136 indexed citations
19.
Gawron, Andrew J., R. Scott Martin, & Susan M. Lunte. (2001). Microchip electrophoretic separation systems for biomedical and pharmaceutical analysis. European Journal of Pharmaceutical Sciences. 14(1). 1–12. 55 indexed citations
20.
Gawron, Andrew J., R. Scott Martin, & Susan M. Lunte. (2001). Fabrication and evaluation of a carbon-based dual-electrode detector for poly(dimethylsiloxane) electrophoresis chips. Electrophoresis. 22(2). 242–248. 115 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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