Curtis D. Lee

423 total citations
10 papers, 333 citations indexed

About

Curtis D. Lee is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Curtis D. Lee has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Curtis D. Lee's work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (5 papers) and Advanced Memory and Neural Computing (5 papers). Curtis D. Lee is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (5 papers) and Advanced Memory and Neural Computing (5 papers). Curtis D. Lee collaborates with scholars based in United States, Australia and United Kingdom. Curtis D. Lee's co-authors include Ellis Meng, Seth A. Hara, Brian Kim, Jonathan T. W. Kuo, Artin Petrossians, John J. Whalen, Christian A. Gutierrez, Victor Pikov, Chunxiu Yu and Warren M. Grill and has published in prestigious journals such as Biomaterials, Journal of The Electrochemical Society and Lab on a Chip.

In The Last Decade

Curtis D. Lee

10 papers receiving 330 citations

Peers

Curtis D. Lee

CMN

EEE

CN

BE

PP

Francesca Ciarpella Italy

Seth A. Hara United States

Douglas B. Shire United States

Rashed Rihani United States

Zhejun Guo China

Sheryl Kane United States

Ane Altuna Spain

Asiyeh Golabchi United States

Nicolas Alba United States

Allison M. Stiller United States

Francesca Ciarpella Italy

Curtis D. Lee

271 ×0.9

CMN

154 ×1.3

EEE

95 ×0.8

CN

146 ×1.2

BE

140 ×1.2

PP

Citations per year, relative to Curtis D. Lee Curtis D. Lee (= 1×) peers Francesca Ciarpella

Countries citing papers authored by Curtis D. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Curtis D. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Curtis D. Lee

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

All Works

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10 of 10 papers shown

1.

Lee, Curtis D., et al.. (2021). Stimulation and Recording of the Hippocampus Using the Same Pt-Ir Coated Microelectrodes. Frontiers in Neuroscience. 15. 616063–616063. 9 indexed citations

2.

Dalrymple, Ashley N, Bryony A. Nayagam, Curtis D. Lee, et al.. (2020). Electrochemical and biological characterization of thin-film platinum-iridium alloy electrode coatings: a chronic in vivo study. Journal of Neural Engineering. 17(3). 36012–36012. 29 indexed citations

3.

Dalrymple, Ashley N, Curtis D. Lee, Artin Petrossians, et al.. (2019). Electrochemical and mechanical performance of reduced graphene oxide, conductive hydrogel, and electrodeposited Pt–Ir coated electrodes: an active in vitro study. Journal of Neural Engineering. 17(1). 16015–16015. 23 indexed citations

4.

Yu, Chunxiu, et al.. (2019). Electrodeposited platinum-iridium coating improves in vivo recording performance of chronically implanted microelectrode arrays. Biomaterials. 205. 120–132. 53 indexed citations

5.

Lee, Curtis D., et al.. (2018). Low-Impedance, High Surface Area Pt-Ir Electrodeposited on Cochlear Implant Electrodes. Journal of The Electrochemical Society. 165(12). G3015–G3017. 24 indexed citations

6.

Hara, Seth A., Brian Kim, Jonathan T. W. Kuo, et al.. (2016). Long-term stability of intracortical recordings using perforated and arrayed Parylene sheath electrodes. Journal of Neural Engineering. 13(6). 66020–66020. 42 indexed citations

7.

Lee, Curtis D. & Ellis Meng. (2015). Mechanical Properties of Thin-Film Parylene–Metal–Parylene Devices. Frontiers in Mechanical Engineering. 1. 24 indexed citations

8.

Lee, Curtis D., Seth A. Hara, Lawrence Yu, et al.. (2015). Matrigel coatings forParylene sheath neural probes. Journal of Biomedical Materials Research Part B Applied Biomaterials. 104(2). 357–368. 30 indexed citations

9.

Hara, Seth A., Brian Kim, Jonathan T. W. Kuo, et al.. (2013). Perforated 2×2 Parylene sheath electrode array for chronic intracortical recording. 645–648. 3 indexed citations

10.

Kuo, Jonathan T. W., Brian Kim, Seth A. Hara, et al.. (2012). Novel flexible Parylene neural probe with 3D sheath structure for enhancing tissue integration. Lab on a Chip. 13(4). 554–561. 96 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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