Nicholas D. Laude

419 total citations
8 papers, 332 citations indexed

About

Nicholas D. Laude is a scholar working on Electrochemistry, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Nicholas D. Laude has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrochemistry, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Nicholas D. Laude's work include Electrochemical Analysis and Applications (4 papers), Electrochemical sensors and biosensors (3 papers) and Conducting polymers and applications (2 papers). Nicholas D. Laude is often cited by papers focused on Electrochemical Analysis and Applications (4 papers), Electrochemical sensors and biosensors (3 papers) and Conducting polymers and applications (2 papers). Nicholas D. Laude collaborates with scholars based in United States. Nicholas D. Laude's co-authors include Michael L. Heien, Christopher W. Atcherley, Kate L. Parent, Dong Lu, Jennifer Y. Xie, Frank Porreca, Torsten Falk, Scott J. Sherman, Mitchell J. Bartlett and Kevin M. Wood and has published in prestigious journals such as Analytical Chemistry, Langmuir and Neuroscience Letters.

In The Last Decade

Nicholas D. Laude

8 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas D. Laude United States	7	172	169	126	114	53	8	332
Nathan T. Rodeberg United States	8	158 0.9×	228 1.3×	157 1.2×	81 0.7×	38 0.7×	9	384
Kate L. Parent United States	12	114 0.7×	232 1.4×	125 1.0×	54 0.5×	30 0.6×	13	395
Weite H. Oldenziel Netherlands	8	144 0.8×	241 1.4×	91 0.7×	64 0.6×	28 0.5×	8	364
Patrick A. Cody United States	7	140 0.8×	199 1.2×	64 0.5×	109 1.0×	53 1.0×	8	451
Jelena Petrović Serbia	11	131 0.8×	221 1.3×	93 0.7×	50 0.4×	28 0.5×	21	416
Chao Tan China	11	165 1.0×	142 0.8×	85 0.7×	81 0.7×	73 1.4×	28	388
Scott T. Lee United States	10	295 1.7×	233 1.4×	229 1.8×	149 1.3×	125 2.4×	11	630
Bingchen Wu United States	12	104 0.6×	227 1.3×	49 0.4×	121 1.1×	101 1.9×	22	425
Anna M. Belle United States	11	172 1.0×	417 2.5×	145 1.2×	68 0.6×	145 2.7×	12	613
Jingyu Xie China	14	139 0.8×	268 1.6×	60 0.5×	69 0.6×	108 2.0×	45	507

Countries citing papers authored by Nicholas D. Laude

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas D. Laude

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas D. Laude

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas D. Laude. A scholar is included among the top collaborators of Nicholas D. Laude 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 Nicholas D. Laude. Nicholas D. Laude 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

Laude, Nicholas D.. (2015). Addressing the Neurochemical Problem: Sensitive and Selective Measurements of Neurotransmitters, Neuropeptides, and Synaptic Vesicles. UA Campus Repository (The University of Arizona). 1 indexed citations

Bartlett, Mitchell J., Kate L. Parent, Nicholas D. Laude, et al.. (2015). Long-term effect of sub-anesthetic ketamine in reducing l -DOPA-induced dyskinesias in a preclinical model. Neuroscience Letters. 612. 121–125. 23 indexed citations

Atcherley, Christopher W., Jennifer Y. Xie, Dong Lu, et al.. (2015). Biocompatible PEDOT:Nafion Composite Electrode Coatings for Selective Detection of Neurotransmitters in Vivo. Analytical Chemistry. 87(5). 2600–2607. 178 indexed citations

Atcherley, Christopher W., Nicholas D. Laude, Eric B. Monroe, et al.. (2014). Improved Calibration of Voltammetric Sensors for Studying Pharmacological Effects on Dopamine Transporter Kinetics in Vivo. ACS Chemical Neuroscience. 6(9). 1509–1516. 17 indexed citations

Bartlett, Mitchell J., Nicholas D. Laude, Kate L. Parent, et al.. (2014). Differential effects of the NMDA receptor antagonist MK-801 on dopamine receptor D1- and D2-induced abnormal involuntary movements in a preclinical model. Neuroscience Letters. 564. 48–52. 13 indexed citations

Laude, Nicholas D., et al.. (2014). Microwave-Plasma Dry-Etch for Fabrication of Conducting Polymer Microelectrodes. Analytical Chemistry. 86(3). 1385–1390. 13 indexed citations

Atcherley, Christopher W., Nicholas D. Laude, Kate L. Parent, & Michael L. Heien. (2013). Fast-Scan Controlled-Adsorption Voltammetry for the Quantification of Absolute Concentrations and Adsorption Dynamics. Langmuir. 29(48). 14885–14892. 78 indexed citations

Laude, Nicholas D., Christopher W. Atcherley, & Michael L. Heien. (2012). Rethinking Data Collection and Signal Processing. 1. Real-Time Oversampling Filter for Chemical Measurements. Analytical Chemistry. 84(19). 8422–8426. 9 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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