D. E. Burton

493 total citations
9 papers, 370 citations indexed

About

D. E. Burton is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, D. E. Burton has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 4 papers in Electrical and Electronic Engineering and 2 papers in Molecular Biology. Recurrent topics in D. E. Burton's work include Microfluidic and Capillary Electrophoresis Applications (8 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). D. E. Burton is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (8 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). D. E. Burton collaborates with scholars based in United States and United Kingdom. D. E. Burton's co-authors include Michael J. Sepaniak, M.P. Maskarinec, David F. Swaile, John G. Dorsey, Sarah Taylor, Lindy J. Murphy, Carlos Fernández, Xiaobing Xi, James M. Jordan and Sean Peng and has published in prestigious journals such as Journal of Chromatography A, Journal of Chromatographic Science and Chromatographia.

In The Last Decade

D. E. Burton

9 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. E. Burton United States	8	336	204	68	37	25	9	370
Sarah Molteni Switzerland	8	393 1.2×	150 0.7×	61 0.9×	28 0.8×	50 2.0×	8	453
Israel Joel Koenka Switzerland	12	305 0.9×	75 0.4×	63 0.9×	72 1.9×	33 1.3×	14	368
Eva Ölvecká Slovakia	10	364 1.1×	146 0.7×	41 0.6×	45 1.2×	28 1.1×	10	398
Congying Gu China	13	284 0.8×	185 0.9×	51 0.8×	22 0.6×	51 2.0×	26	381
Changyu Quang United States	9	395 1.2×	265 1.3×	24 0.4×	48 1.3×	29 1.2×	10	438
M. Mazereeuw Netherlands	12	377 1.1×	190 0.9×	59 0.9×	35 0.9×	44 1.8×	15	448
Jenny Wen United States	6	257 0.8×	199 1.0×	42 0.6×	60 1.6×	69 2.8×	7	375
Daniel U. Staerk United States	8	296 0.9×	308 1.5×	28 0.4×	13 0.4×	47 1.9×	11	386
Kyung Won Ro South Korea	9	353 1.1×	156 0.8×	93 1.4×	30 0.8×	33 1.3×	9	426
Philip Zakaria Australia	11	301 0.9×	253 1.2×	39 0.6×	60 1.6×	47 1.9×	15	401

Countries citing papers authored by D. E. Burton

Since Specialization

Citations

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

Fields of papers citing papers by D. E. Burton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Burton. 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 D. E. Burton. The network helps show where D. E. Burton may publish in the future.

Co-authorship network of co-authors of D. E. Burton

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

All Works

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9 of 9 papers shown

Taylor, Sarah, et al.. (2016). Disposable screen printed sensor for the electrochemical detection of methamphetamine in undiluted saliva. Chemistry Central Journal. 10(1). 3–3. 39 indexed citations

Peng, Sean, et al.. (1998). Direct pharmaceutical analysis of bisphosphonates by capillary electrophoresis. Journal of Chromatography B Biomedical Sciences and Applications. 709(1). 157–160. 6 indexed citations

Dorsey, John G., et al.. (1997). Current measurement of nonaqueous solvents: Applicatons to capillry electrophoresis and electrochromatography. Journal of High Resolution Chromatography. 20(10). 523–528. 28 indexed citations

Jordan, James M., et al.. (1994). Determination of inorganic sulfate in detergent products by capillary electrophoresis. Journal of Chromatography A. 671(1-2). 445–451. 7 indexed citations

Burton, D. E., et al.. (1994). Reproducibility of the determination of caffeine in coffee by micellar electrokinetic capillary chromatography. Journal of Microcolumn Separations. 6(1). 5–10. 7 indexed citations

Swaile, David F., et al.. (1988). Pharmaceutical Analysis Using Micellar Electrokinetic Capillary Chromatography. Journal of Chromatographic Science. 26(8). 406–409. 43 indexed citations

Burton, D. E., Michael J. Sepaniak, & M.P. Maskarinec. (1987). Evaluation of the Use of Various Surfactants in Micellar Electrokinetic Capillary Chromatography. Journal of Chromatographic Science. 25(11). 514–518. 59 indexed citations

Burton, D. E., Michael J. Sepaniak, & M.P. Maskarinec. (1986). The effect of injection procedures on efficiency in micellar electrokinetic capillary chromatography. Chromatographia. 21(10). 583–586. 60 indexed citations

Burton, D. E., Michael J. Sepaniak, & M.P. Maskarinec. (1986). Analysis of B6 Vitamers by Micellar Electrokinetic Capillary Chromatography with Laser-Excited Fluorescence Detection. Journal of Chromatographic Science. 24(8). 347–351. 121 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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