Gregory T. Roman

1.1k total citations
18 papers, 892 citations indexed

About

Gregory T. Roman is a scholar working on Biomedical Engineering, Spectroscopy and Electrical and Electronic Engineering. According to data from OpenAlex, Gregory T. Roman has authored 18 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 5 papers in Spectroscopy and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Gregory T. Roman's work include Microfluidic and Capillary Electrophoresis Applications (15 papers), Microfluidic and Bio-sensing Technologies (9 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (8 papers). Gregory T. Roman is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (15 papers), Microfluidic and Bio-sensing Technologies (9 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (8 papers). Gregory T. Roman collaborates with scholars based in United States. Gregory T. Roman's co-authors include Christopher T. Culbertson, Robert T. Kennedy, Meng Wang, K. Bass, Yanli Chen, Kristin N. Schultz, Meng Wang, Daniel A. Higgins, Susan Carroll and J. Michael Ramsey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Langmuir.

In The Last Decade

Gregory T. Roman

18 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory T. Roman United States 13 781 255 95 68 67 18 892
Elwin X. Vrouwe Netherlands 11 313 0.4× 85 0.3× 36 0.4× 116 1.7× 55 0.8× 27 469
Kateřina Hegnerová Czechia 12 414 0.5× 126 0.5× 26 0.3× 350 5.1× 25 0.4× 15 682
José Geraldo Alves Brito-Neto Brazil 11 604 0.8× 268 1.1× 93 1.0× 43 0.6× 222 3.3× 14 722
Hirokazu Saito Japan 13 423 0.5× 374 1.5× 50 0.5× 83 1.2× 198 3.0× 53 647
Miguel García Spain 8 448 0.6× 166 0.7× 15 0.2× 91 1.3× 36 0.5× 8 681
G.L. Cote United States 7 251 0.3× 173 0.7× 21 0.2× 67 1.0× 128 1.9× 12 498
Dominika Ogończyk Poland 13 285 0.4× 235 0.9× 17 0.2× 85 1.3× 69 1.0× 18 484
Jinseok Heo United States 12 500 0.6× 123 0.5× 27 0.3× 260 3.8× 66 1.0× 26 755
Nghia Chiem Canada 10 1.1k 1.5× 345 1.4× 99 1.0× 147 2.2× 104 1.6× 14 1.2k
Jen‐Tsai Liu China 11 354 0.5× 249 1.0× 16 0.2× 198 2.9× 70 1.0× 28 646

Countries citing papers authored by Gregory T. Roman

Since Specialization
Citations

This map shows the geographic impact of Gregory T. Roman'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 Gregory T. Roman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory T. Roman more than expected).

Fields of papers citing papers by Gregory T. Roman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory T. Roman. 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 Gregory T. Roman. The network helps show where Gregory T. Roman may publish in the future.

Co-authorship network of co-authors of Gregory T. Roman

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

All Works

18 of 18 papers shown
1.
DeHoog, Rachel J., et al.. (2023). Evaluating the Generalizability of Predictive Classifiers Built from DESI Imaging Lipid Data across Mass Spectrometry Platforms. Journal of the American Society for Mass Spectrometry. 34(7). 1532–1537. 3 indexed citations
2.
Shrestha, Bindesh, et al.. (2022). Redox phospholipidomics analysis reveals specific oxidized phospholipids and regions in the diabetic mouse kidney. Redox Biology. 58. 102520–102520. 11 indexed citations
3.
Gilár, Martin, Thomas S. McDonald, Fabrice Gritti, et al.. (2017). Chromatographic performance of microfluidic liquid chromatography devices: Experimental evaluation of straight versus serpentine packed channels. Journal of Chromatography A. 1533. 127–135. 7 indexed citations
4.
Roman, Gregory T. & James Peter Murphy. (2017). Improving sensitivity and linear dynamic range of intact protein analysis using a robust and easy to use microfluidic device. The Analyst. 142(7). 1073–1083. 8 indexed citations
5.
Gilár, Martin, et al.. (2015). Repetitive injection method: A tool for investigation of injection zone formation and its compression in microfluidic liquid chromatography. Journal of Chromatography A. 1381. 110–117. 18 indexed citations
6.
Alelyunas, Yun W., et al.. (2015). High throughput analysis at microscale: performance of ionKey/MS with Xevo G2-XS QTof under rapid gradient conditions. SHILAP Revista de lepidopterología. 1(4). 128–135. 3 indexed citations
7.
Roman, Gregory T., et al.. (2009). Electrokinetic trapping using titania nanoporous membranes fabricated using sol–gel chemistry on microfluidic devices. Electrophoresis. 30(18). 3160–3167. 24 indexed citations
8.
Wang, Meng, et al.. (2009). Microfluidic Chip for High Efficiency Electrophoretic Analysis of Segmented Flow from a Microdialysis Probe and in Vivo Chemical Monitoring. Analytical Chemistry. 81(21). 9072–9078. 84 indexed citations
10.
Roman, Gregory T., et al.. (2008). Sampling and Electrophoretic Analysis of Segmented Flow Streams Using Virtual Walls in a Microfluidic Device. Analytical Chemistry. 80(21). 8231–8238. 74 indexed citations
11.
Wang, Meng, et al.. (2008). Improved Temporal Resolution for in Vivo Microdialysis by Using Segmented Flow. Analytical Chemistry. 80(14). 5607–5615. 91 indexed citations
12.
Roman, Gregory T. & Robert T. Kennedy. (2007). Fully integrated microfluidic separations systems for biochemical analysis. Journal of Chromatography A. 1168(1-2). 170–188. 70 indexed citations
13.
Roman, Gregory T., et al.. (2006). Micellar electrokinetic chromatography of fluorescently labeled proteins on poly(dimethylsiloxane)‐based microchips. Electrophoresis. 27(14). 2933–2939. 19 indexed citations
14.
Roman, Gregory T., et al.. (2006). Single-cell manipulation and analysis using microfluidic devices. Analytical and Bioanalytical Chemistry. 387(1). 9–12. 90 indexed citations
15.
Roman, Gregory T. & Christopher T. Culbertson. (2006). Surface Engineering of Poly(dimethylsiloxane) Microfluidic Devices Using Transition Metal Sol−Gel Chemistry. Langmuir. 22(9). 4445–4451. 109 indexed citations
16.
Roman, Gregory T., et al.. (2005). High efficiency micellar electrokinetic chromatography of hydrophobic analytes on poly(dimethylsiloxane) microchips. The Analyst. 131(2). 194–201. 56 indexed citations
17.
Roman, Gregory T., et al.. (2005). Sol−Gel Modified Poly(dimethylsiloxane) Microfluidic Devices with High Electroosmotic Mobilities and Hydrophilic Channel Wall Characteristics. Analytical Chemistry. 77(5). 1414–1422. 179 indexed citations
18.
Culbertson, Christopher T., et al.. (2005). Microchip Separations in Reduced-Gravity and Hypergravity Environments. Analytical Chemistry. 77(24). 7933–7940. 24 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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