Jonathan S. Tsay

1.3k total citations
24 papers, 367 citations indexed

About

Jonathan S. Tsay is a scholar working on Cognitive Neuroscience, Social Psychology and Biomedical Engineering. According to data from OpenAlex, Jonathan S. Tsay has authored 24 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 13 papers in Social Psychology and 11 papers in Biomedical Engineering. Recurrent topics in Jonathan S. Tsay's work include Motor Control and Adaptation (22 papers), Action Observation and Synchronization (13 papers) and Muscle activation and electromyography studies (11 papers). Jonathan S. Tsay is often cited by papers focused on Motor Control and Adaptation (22 papers), Action Observation and Synchronization (13 papers) and Muscle activation and electromyography studies (11 papers). Jonathan S. Tsay collaborates with scholars based in United States, Canada and United Kingdom. Jonathan S. Tsay's co-authors include Richard B. Ivry, Hyosub E. Kim, Darius E. Parvin, Adrian M. Haith, Guy Avraham, Alok Choudhary, Ankit Agrawal, Reda Al-Bahrani, Margaret Danilovich and Carolee J. Winstein and has published in prestigious journals such as The Journal of Physiology, Current Biology and Journal of Neurophysiology.

In The Last Decade

Jonathan S. Tsay

21 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan S. Tsay United States 11 296 168 107 49 39 24 367
Charles B. Black United States 7 270 0.9× 116 0.7× 67 0.6× 155 3.2× 17 0.4× 8 390
Tércio Apolinário‐Souza Brazil 10 170 0.6× 46 0.3× 56 0.5× 79 1.6× 15 0.4× 35 268
Matheus M. Pacheco Brazil 14 229 0.8× 132 0.8× 112 1.0× 189 3.9× 113 2.9× 49 482
Sabine M. Beurze Netherlands 7 524 1.8× 181 1.1× 71 0.7× 29 0.6× 9 0.2× 7 561
Christopher J. Smethurst Australia 8 259 0.9× 207 1.2× 76 0.7× 287 5.9× 55 1.4× 9 520
Zoë C. Franklin United Kingdom 11 145 0.5× 149 0.9× 25 0.2× 157 3.2× 8 0.2× 20 327
Juliana Otoni Parma United States 11 100 0.3× 68 0.4× 29 0.3× 89 1.8× 14 0.4× 27 272
Daniel S. Scholz Germany 11 254 0.9× 169 1.0× 23 0.2× 21 0.4× 25 0.6× 23 362
Heinz Mechling Germany 7 118 0.4× 74 0.4× 23 0.2× 48 1.0× 48 1.2× 20 261
Shu Imaizumi Japan 11 215 0.7× 93 0.6× 28 0.3× 16 0.3× 10 0.3× 34 335

Countries citing papers authored by Jonathan S. Tsay

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Tsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Tsay. 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 Jonathan S. Tsay. The network helps show where Jonathan S. Tsay may publish in the future.

Co-authorship network of co-authors of Jonathan S. Tsay

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

All Works

20 of 20 papers shown
1.
Tsay, Jonathan S., et al.. (2025). The Detrimental Effect of Stroke on Motor Adaptation. Neurorehabilitation and neural repair. 39(3). 213–225. 1 indexed citations
2.
Tsay, Jonathan S., et al.. (2025). Target configuration determines how and what we learn during sensorimotor adaptation. npj Science of Learning. 10(1). 89–89.
3.
Tsay, Jonathan S., et al.. (2024). Implicit Adaptation Is Modulated by the Relevance of Feedback. Journal of Cognitive Neuroscience. 36(6). 1206–1220. 1 indexed citations
4.
Avraham, Guy, et al.. (2024). Perturbation Variability Does Not Influence Implicit Sensorimotor Adaptation. PLoS Computational Biology. 20(4). e1011951–e1011951. 4 indexed citations
5.
Tsay, Jonathan S., Hyosub E. Kim, Samuel D. McDougle, et al.. (2024). Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. eLife. 13. 10 indexed citations
6.
Avraham, Guy, et al.. (2024). Advanced feedback enhances sensorimotor adaptation. Current Biology. 34(5). 1076–1085.e5. 11 indexed citations
7.
Tsay, Jonathan S., Melanie K. Fleming, Irene Di Giulio, et al.. (2024). Bridging the gap between experimental control and ecological validity in human sensorimotor science. The Journal of Physiology. 602(17). 4085–4087. 2 indexed citations
8.
Tsay, Jonathan S., et al.. (2024). Large-scale citizen science reveals predictors of sensorimotor adaptation. Nature Human Behaviour. 8(3). 510–525. 14 indexed citations
9.
Tsay, Jonathan S., Romeo Chua, R. Chris Miall, et al.. (2024). Minimal impact of chronic proprioceptive loss on implicit sensorimotor adaptation and perceived movement outcome. Journal of Neurophysiology. 132(3). 770–780. 1 indexed citations
10.
Tsay, Jonathan S., et al.. (2023). Signatures of contextual interference in implicit sensorimotor adaptation. Proceedings of the Royal Society B Biological Sciences. 290(1993). 20222491–20222491. 7 indexed citations
11.
Tsay, Jonathan S., et al.. (2023). Implicit reward-based motor learning. Experimental Brain Research. 241(9). 2287–2298. 6 indexed citations
12.
Tsay, Jonathan S., et al.. (2023). Low Vision Impairs Implicit Sensorimotor Adaptation in Response to Small Errors, But Not Large Errors. Journal of Cognitive Neuroscience. 35(4). 736–748. 5 indexed citations
13.
Tsay, Jonathan S., et al.. (2022). Implicit sensorimotor adaptation is preserved in Parkinson’s disease. Brain Communications. 4(6). fcac303–fcac303. 8 indexed citations
14.
Tsay, Jonathan S., Adrian M. Haith, Richard B. Ivry, & Hyosub E. Kim. (2022). Interactions between sensory prediction error and task error during implicit motor learning. PLoS Computational Biology. 18(3). e1010005–e1010005. 49 indexed citations
15.
Tsay, Jonathan S., Hyosub E. Kim, Adrian M. Haith, & Richard B. Ivry. (2022). Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment. eLife. 11. 52 indexed citations
16.
Tsay, Jonathan S., et al.. (2021). Individual differences in proprioception predict the extent of implicit sensorimotor adaptation. Journal of Neurophysiology. 125(4). 1307–1321. 37 indexed citations
17.
Tsay, Jonathan S., et al.. (2021). Moving outside the lab: The viability of conducting sensorimotor learning studies online. arXiv (Cornell University). 5(3). 27 indexed citations
18.
Tsay, Jonathan S., Darius E. Parvin, & Richard B. Ivry. (2020). Continuous reports of sensed hand position during sensorimotor adaptation. Journal of Neurophysiology. 124(4). 1122–1130. 33 indexed citations
19.
Tsay, Jonathan S. & Carolee J. Winstein. (2020). Five Features to Look for in Early-Phase Clinical Intervention Studies. Neurorehabilitation and neural repair. 35(1). 3–9. 10 indexed citations
20.
Tsay, Jonathan S., et al.. (2020). The effect of visual uncertainty on implicit motor adaptation. Journal of Neurophysiology. 125(1). 12–22. 34 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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