Chao Gu

410 total citations
9 papers, 213 citations indexed

About

Chao Gu is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Chao Gu has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Biomedical Engineering and 3 papers in Neurology. Recurrent topics in Chao Gu's work include Motor Control and Adaptation (5 papers), Muscle activation and electromyography studies (4 papers) and Tactile and Sensory Interactions (3 papers). Chao Gu is often cited by papers focused on Motor Control and Adaptation (5 papers), Muscle activation and electromyography studies (4 papers) and Tactile and Sensory Interactions (3 papers). Chao Gu collaborates with scholars based in Canada, United States and Netherlands. Chao Gu's co-authors include Brian D. Corneil, Paul L. Gribble, Daniel K. Wood, David K. Wood, J. Andrew Pruszynski, Melvyn A. Goodale, W. Pieter Medendorp, Alexander C. Huk, Samanthi C. Goonetilleke and Kevin Johnston and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and European Journal of Neuroscience.

In The Last Decade

Chao Gu

9 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Gu Canada 9 192 76 35 32 19 9 213
Ehsan Sedaghat-Nejad United States 8 158 0.8× 31 0.4× 62 1.8× 30 0.9× 14 0.7× 15 203
Erik M. Summerside United States 5 189 1.0× 53 0.7× 16 0.5× 60 1.9× 4 0.2× 8 245
Tommy Ng Singapore 7 133 0.7× 25 0.3× 76 2.2× 15 0.5× 6 0.3× 8 180
Joël Monzée Canada 4 201 1.0× 130 1.7× 52 1.5× 34 1.1× 2 0.1× 5 260
Weronika Potok Switzerland 6 112 0.6× 21 0.3× 74 2.1× 38 1.2× 5 0.3× 11 181
Pierre Baraduc France 4 241 1.3× 56 0.7× 30 0.9× 57 1.8× 3 0.2× 6 311
Alexandra Reichenbach Germany 10 293 1.5× 97 1.3× 54 1.5× 77 2.4× 3 0.2× 19 330
Susen Werner Germany 9 312 1.6× 120 1.6× 59 1.7× 143 4.5× 2 0.1× 12 341
El-Mehdi Meftah Canada 11 334 1.7× 36 0.5× 22 0.6× 26 0.8× 6 0.3× 14 353
Scott T. Albert United States 6 161 0.8× 70 0.9× 26 0.7× 60 1.9× 1 0.1× 8 180

Countries citing papers authored by Chao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Gu

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

All Works

9 of 9 papers shown
1.
Gu, Chao, et al.. (2019). Stimulus-Locked Responses on Human Upper Limb Muscles and Corrective Reaches Are Preferentially Evoked by Low Spatial Frequencies. eNeuro. 6(5). ENEURO.0301–19.2019. 22 indexed citations
2.
Gu, Chao, J. Andrew Pruszynski, Paul L. Gribble, & Brian D. Corneil. (2018). A rapid visuomotor response on the human upper limb is selectively influenced by implicit motor learning. Journal of Neurophysiology. 121(1). 85–95. 16 indexed citations
3.
Gu, Chao, et al.. (2018). Active Braking of Whole-Arm Reaching Movements Provides Single-Trial Neuromuscular Measures of Movement Cancellation. Journal of Neuroscience. 38(18). 4367–4382. 28 indexed citations
4.
Gu, Chao, J. Andrew Pruszynski, Paul L. Gribble, & Brian D. Corneil. (2017). Done in 100 ms: path-dependent visuomotor transformation in the human upper limb. Journal of Neurophysiology. 119(4). 1319–1328. 18 indexed citations
5.
Camp, Aaron J., Chao Gu, Sharon L. Cushing, Karen A. Gordon, & Brian D. Corneil. (2017). Splenius capitis is a reliable target for measuring cervical vestibular evoked myogenic potentials in adults. European Journal of Neuroscience. 45(9). 1212–1223. 12 indexed citations
6.
Gu, Chao, David K. Wood, Paul L. Gribble, & Brian D. Corneil. (2016). A Trial-by-Trial Window into Sensorimotor Transformations in the Human Motor Periphery. Journal of Neuroscience. 36(31). 8273–8282. 44 indexed citations
7.
Wood, Daniel K., Chao Gu, Brian D. Corneil, Paul L. Gribble, & Melvyn A. Goodale. (2015). Transient visual responses reset the phase of low‐frequency oscillations in the skeletomotor periphery. European Journal of Neuroscience. 42(3). 1919–1932. 36 indexed citations
8.
Goonetilleke, Samanthi C., Leor N. Katz, Daniel K. Wood, et al.. (2015). Cross-species comparison of anticipatory and stimulus-driven neck muscle activity well before saccadic gaze shifts in humans and nonhuman primates. Journal of Neurophysiology. 114(2). 902–913. 25 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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