Charles Wang

606 total citations
11 papers, 173 citations indexed

About

Charles Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Polymers and Plastics. According to data from OpenAlex, Charles Wang has authored 11 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 2 papers in Polymers and Plastics. Recurrent topics in Charles Wang's work include Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (4 papers) and Conducting polymers and applications (2 papers). Charles Wang is often cited by papers focused on Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (4 papers) and Conducting polymers and applications (2 papers). Charles Wang collaborates with scholars based in United States, Germany and South Korea. Charles Wang's co-authors include Jonathan Viventi, Lan S. Chen, Yong‐Seog Oh, Chia‐Han Chiang, Peng‐Sheng Chen, Ambrose Jong, Hongmei Li, Michael C. Fishbein, Alice E. Zemljic‐Harpf and Robert S. Ross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Tribology International.

In The Last Decade

Charles Wang

10 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Wang United States	6	86	53	43	42	42	11	173
Inhea Jeong South Korea	8	80 0.9×	162 3.1×	37 0.9×	18 0.4×	49 1.2×	12	244
Alejandro Murillo United States	7	99 1.2×	123 2.3×	23 0.5×	58 1.4×	51 1.2×	11	279
Guillermo Medrano Germany	9	39 0.5×	147 2.8×	36 0.8×	53 1.3×	95 2.3×	14	303
Sharon Jewell United Kingdom	7	86 1.0×	65 1.2×	100 2.3×	14 0.3×	25 0.6×	11	272
Kyongjune B. Lee United States	9	129 1.5×	141 2.7×	29 0.7×	111 2.6×	64 1.5×	29	370
S. T. Britland United Kingdom	9	134 1.6×	130 2.5×	15 0.3×	11 0.3×	61 1.5×	15	342
Ana G. Hernández-Reynoso United States	8	136 1.6×	68 1.3×	55 1.3×	10 0.2×	34 0.8×	27	212
Indie C. Garwood United States	6	61 0.7×	77 1.5×	34 0.8×	7 0.2×	21 0.5×	7	181
Amy J. Halliday Australia	8	98 1.1×	47 0.9×	119 2.8×	18 0.4×	13 0.3×	24	255
A. Lackermeier United Kingdom	5	120 1.4×	180 3.4×	76 1.8×	13 0.3×	154 3.7×	7	365

Countries citing papers authored by Charles Wang

Since Specialization

Citations

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

Fields of papers citing papers by Charles Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Wang. 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 Charles Wang. The network helps show where Charles Wang may publish in the future.

Co-authorship network of co-authors of Charles Wang

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

All Works

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11 of 11 papers shown

Hosseini, Maryam, Chirag Nepal, Yong Li, et al.. (2024). Maternal e-cigarette exposure alters DNA methylome, site-specific CpG and CH methylation, and transcriptomic signatures in the neonatal brain. Scientific Reports. 14(1). 24263–24263. 1 indexed citations

Seo, Kyung Jin, Chia‐Han Chiang, Yi Qiang, et al.. (2023). A soft, high-density neuroelectronic array. npj Flexible Electronics. 7(1). 20 indexed citations

Chiang, Chia‐Han, Jaejin Lee, Charles Wang, et al.. (2020). A modular high-density μ ECoG system on macaque vlPFC for auditory cognitive decoding. Journal of Neural Engineering. 17(4). 46008–46008. 10 indexed citations

Li, Jinghua, Enming Song, Chia‐Han Chiang, et al.. (2018). Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology. Proceedings of the National Academy of Sciences. 115(41). E9542–E9549. 52 indexed citations

Orsborn, Amy L., et al.. (2018). A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain. PubMed. 2018. 3362–3365. 5 indexed citations

Orsborn, Amy L., et al.. (2015). Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. 18 indexed citations

Wang, Charles, et al.. (2014). Advanced Process Technology for 3D and 2.5D Applications. IMAPSource Proceedings. 2014(1). 905–911. 1 indexed citations

Baudot, Charles, Cher Ming Tan, & Charles Wang. (2008). Nano-tailoring of carbon nanotube as nano-fillers for composite materials applications. 570–572.

Oh, Yong‐Seog, Ambrose Jong, Hongmei Li, et al.. (2006). Spatial distribution of nerve sprouting after myocardial infarction in mice. Heart Rhythm. 3(6). 728–736. 57 indexed citations

10.

Geisler, Michael, et al.. (2000). Effect of disk roughness and carbon impact energy on corrosion protection of magnetic recording films. Tribology International. 33(5-6). 323–327. 7 indexed citations

11.

Wang, Charles. (1983). LASERS IN FLUID MECHANICS AND PLASMADYNAMICS. 2 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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