Eugene Tunik

3.9k total citations
78 papers, 2.8k citations indexed

About

Eugene Tunik is a scholar working on Cognitive Neuroscience, Neurology and Rehabilitation. According to data from OpenAlex, Eugene Tunik has authored 78 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 30 papers in Neurology and 28 papers in Rehabilitation. Recurrent topics in Eugene Tunik's work include Motor Control and Adaptation (48 papers), Stroke Rehabilitation and Recovery (28 papers) and Transcranial Magnetic Stimulation Studies (28 papers). Eugene Tunik is often cited by papers focused on Motor Control and Adaptation (48 papers), Stroke Rehabilitation and Recovery (28 papers) and Transcranial Magnetic Stimulation Studies (28 papers). Eugene Tunik collaborates with scholars based in United States, Canada and Poland. Eugene Tunik's co-authors include Scott T. Grafton, Sergei V. Adamovich, Alma S. Merians, Scott H. Frey, Gerard G. Fluet, Nichola J. Rice, Soha Saleh, Mathew Yarossi, S. V. Adamovich and Howard Poizner and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Eugene Tunik

75 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Tunik United States 28 1.8k 752 684 492 469 78 2.8k
Nachum Soroker Israel 33 2.2k 1.2× 352 0.5× 798 1.2× 213 0.4× 165 0.4× 111 3.4k
Robert Forget Canada 33 1.2k 0.6× 313 0.4× 366 0.5× 318 0.6× 691 1.5× 62 2.6k
Sergei V. Adamovich United States 27 931 0.5× 271 0.4× 1.3k 2.0× 228 0.5× 458 1.0× 50 2.4k
Stephen A. Coombes United States 34 1.3k 0.7× 531 0.7× 340 0.5× 264 0.5× 450 1.0× 85 2.6k
Marie‐Claude Hepp‐Reymond Switzerland 29 1.5k 0.8× 377 0.5× 261 0.4× 394 0.8× 821 1.8× 50 2.3k
Michael A. Dimyan United States 17 2.1k 1.1× 418 0.6× 638 0.9× 1.0k 2.1× 678 1.4× 24 3.1k
Daniel J. Goble United States 33 1.7k 0.9× 396 0.5× 483 0.7× 351 0.7× 617 1.3× 74 3.5k
Christian Dettmers Germany 32 1.8k 1.0× 887 1.2× 1.5k 2.1× 1.1k 2.2× 591 1.3× 108 4.4k
Elizabeth A. Franz New Zealand 29 1.6k 0.9× 544 0.7× 207 0.3× 228 0.5× 293 0.6× 92 2.4k
H. Chris Dijkerman Netherlands 42 3.9k 2.1× 1.6k 2.2× 422 0.6× 373 0.8× 349 0.7× 128 5.3k

Countries citing papers authored by Eugene Tunik

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Tunik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Tunik

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Tunik. A scholar is included among the top collaborators of Eugene Tunik 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 Eugene Tunik. Eugene Tunik 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.
Furmanek, Mariusz P., Luis F. Schettino, Mathew Yarossi, et al.. (2025). Involvement of aSPOC in the Online Updating of Reach-to-Grasp to Mechanical Perturbations of Hand Transport. Journal of Neuroscience. 45(12). e0173242025–e0173242025. 1 indexed citations
2.
Yarossi, Mathew, et al.. (2024). M2M-InvNet: Human Motor Cortex Mapping From Multi-Muscle Response Using TMS and Generative 3D Convolutional Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1455–1465. 2 indexed citations
3.
Furmanek, Mariusz P., et al.. (2024). Perturbing reach elicits anticipatory responses in transport and grasp. Frontiers in Human Neuroscience. 18. 1423821–1423821.
4.
Katsumi, Yuta, Jiahe Zhang, Danlei Chen, et al.. (2023). Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Communications Biology. 6(1). 401–401. 36 indexed citations
5.
Yarossi, Mathew, et al.. (2019). Parietal Activation Associated With Target-Directed Right Hand Movement Is Lateralized by Mirror Feedback to the Ipsilateral Hemisphere. Frontiers in Human Neuroscience. 12. 531–531. 13 indexed citations
6.
7.
Furmanek, Mariusz P., et al.. (2019). Coordination of reach-to-grasp in physical and haptic-free virtual environments. Journal of NeuroEngineering and Rehabilitation. 16(1). 78–78. 32 indexed citations
8.
Yarossi, Mathew, et al.. (2019). Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. PubMed. 2019. 1097–1100. 13 indexed citations
9.
Saleh, Soha, et al.. (2016). Network interactions underlying mirror feedback in stroke: A dynamic causal modeling study. NeuroImage Clinical. 13. 46–54. 32 indexed citations
10.
Merians, Alma S., et al.. (2014). Movement rehabilitation in virtual reality from then to now: how are we doing?. International Journal on Disability and Human Development. 13(3). 311–317. 7 indexed citations
11.
Saleh, Soha, et al.. (2011). Visuomotor discordance in virtual reality: Effects on online motor control. PubMed. 2011. 7262–7265. 7 indexed citations
12.
Tunik, Eugene, James C. Houk, & Scott T. Grafton. (2009). Basal ganglia contribution to the initiation of corrective submovements. NeuroImage. 47(4). 1757–1766. 39 indexed citations
13.
Cross, Emily S., et al.. (2009). Ventral and dorsal stream contributions to the online control of immediate and delayed grasping: A TMS approach. Neuropsychologia. 47(6). 1553–1562. 101 indexed citations
14.
Tunik, Eugene, On‐Yee Lo, & Sergei V. Adamovich. (2008). Transcranial Magnetic Stimulation to the Frontal Operculum and Supramarginal Gyrus Disrupts Planning of Outcome-Based Hand–Object Interactions. Journal of Neuroscience. 28(53). 14422–14427. 64 indexed citations
15.
16.
Farrer, Chlöé, Scott H. Frey, John D. Van Horn, et al.. (2007). The Angular Gyrus Computes Action Awareness Representations. Cerebral Cortex. 18(2). 254–261. 289 indexed citations
17.
Tunik, Eugene, Nichola J. Rice, Antonia F. de C. Hamilton, & Scott T. Grafton. (2007). Beyond grasping: Representation of action in human anterior intraparietal sulcus. NeuroImage. 36. T77–T86. 175 indexed citations
18.
Rice, Nichola J., Eugene Tunik, Emily S. Cross, & Scott T. Grafton. (2007). On-line grasp control is mediated by the contralateral hemisphere. Brain Research. 1175. 76–84. 45 indexed citations
19.
Tunik, Eugene, Scott H. Frey, & Scott T. Grafton. (2005). Virtual lesions of the anterior intraparietal area disrupt goal-dependent on-line adjustments of grasp. Nature Neuroscience. 8(4). 505–511. 312 indexed citations
20.
Tunik, Eugene, Howard Poizner, Mindy F. Levin, et al.. (2003). Arm?trunk coordination in the absence of proprioception. Experimental Brain Research. 153(3). 343–355. 35 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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