Matthew K. Zachek

800 total citations
8 papers, 646 citations indexed

About

Matthew K. Zachek is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew K. Zachek has authored 8 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Electrochemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew K. Zachek's work include Electrochemical sensors and biosensors (7 papers), Electrochemical Analysis and Applications (7 papers) and Neuroscience and Neural Engineering (3 papers). Matthew K. Zachek is often cited by papers focused on Electrochemical sensors and biosensors (7 papers), Electrochemical Analysis and Applications (7 papers) and Neuroscience and Neural Engineering (3 papers). Matthew K. Zachek collaborates with scholars based in United States. Matthew K. Zachek's co-authors include Gregory S. McCarty, R. Mark Wightman, Pavel Takmakov, Richard B. Keithley, Carrie L. Donley, Jinwoo Park, Paul L. Walsh, Andre Hermans and Elizabeth S. Bucher and has published in prestigious journals such as Analytical Chemistry, Biosensors and Bioelectronics and The Analyst.

In The Last Decade

Matthew K. Zachek

8 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew K. Zachek United States	7	423	346	300	200	107	8	646
Bradley D. Bath United States	6	344 0.8×	326 0.9×	177 0.6×	194 1.0×	123 1.1×	6	622
Elizabeth S. Bucher United States	10	336 0.8×	295 0.9×	403 1.3×	139 0.7×	92 0.9×	11	735
Scott T. Lee United States	10	295 0.7×	229 0.7×	233 0.8×	149 0.7×	58 0.5×	11	630
Paul L. Walsh United States	10	207 0.5×	170 0.5×	241 0.8×	90 0.5×	43 0.4×	16	553
Pumidech Puthongkham United States	15	551 1.3×	369 1.1×	247 0.8×	262 1.3×	132 1.2×	22	960
Justin A. Johnson United States	12	226 0.5×	201 0.6×	240 0.8×	150 0.8×	56 0.5×	14	633
Yoonbae Oh United States	16	243 0.6×	205 0.6×	378 1.3×	95 0.5×	42 0.4×	47	727
Yuanyuan Guo Japan	12	228 0.5×	101 0.3×	314 1.0×	107 0.5×	143 1.3×	26	694
Anna M. Belle United States	11	172 0.4×	145 0.4×	417 1.4×	68 0.3×	40 0.4×	12	613
Tongfang Xiao China	12	451 1.1×	344 1.0×	177 0.6×	287 1.4×	138 1.3×	16	709

Countries citing papers authored by Matthew K. Zachek

Since Specialization

Citations

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

Fields of papers citing papers by Matthew K. Zachek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew K. Zachek. 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 Matthew K. Zachek. The network helps show where Matthew K. Zachek may publish in the future.

Co-authorship network of co-authors of Matthew K. Zachek

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

All Works

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8 of 8 papers shown

Zachek, Matthew K., Jinwoo Park, Pavel Takmakov, R. Mark Wightman, & Gregory S. McCarty. (2010). Microfabricated FSCV-compatible microelectrode array for real-time monitoring of heterogeneous dopamine release. The Analyst. 135(7). 1556–1556. 71 indexed citations

Takmakov, Pavel, Matthew K. Zachek, Richard B. Keithley, et al.. (2010). Characterization of Local pH Changes in Brain Using Fast-Scan Cyclic Voltammetry with Carbon Microelectrodes. Analytical Chemistry. 82(23). 9892–9900. 107 indexed citations

McCarty, Gregory S., et al.. (2010). Enhancing electrochemical detection by scaling solid state nanogaps. Journal of Electroanalytical Chemistry. 643(1-2). 9–14. 8 indexed citations

Takmakov, Pavel, Matthew K. Zachek, Richard B. Keithley, et al.. (2010). Carbon Microelectrodes with a Renewable Surface. Analytical Chemistry. 82(5). 2020–2028. 201 indexed citations

Zachek, Matthew K.. (2010). Development of Carbon-MEMS based Device for the In Vivo Electrochemical Detection of Neurotransmitter Fluctuations.. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations

Zachek, Matthew K., et al.. (2009). Simultaneous Decoupled Detection of Dopamine and Oxygen Using Pyrolyzed Carbon Microarrays and Fast-Scan Cyclic Voltammetry. Analytical Chemistry. 81(15). 6258–6265. 77 indexed citations

Zachek, Matthew K., Pavel Takmakov, Jinwoo Park, R. Mark Wightman, & Gregory S. McCarty. (2009). Simultaneous monitoring of dopamine concentration at spatially different brain locations in vivo. Biosensors and Bioelectronics. 25(5). 1179–1185. 74 indexed citations

Zachek, Matthew K., Andre Hermans, R. Mark Wightman, & Gregory S. McCarty. (2007). Electrochemical dopamine detection: Comparing gold and carbon fiber microelectrodes using background subtracted fast scan cyclic voltammetry. Journal of Electroanalytical Chemistry. 614(1-2). 113–120. 106 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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