David C. Good

4.3k total citations
61 papers, 2.6k citations indexed

About

David C. Good is a scholar working on Rehabilitation, Cognitive Neuroscience and Neurology. According to data from OpenAlex, David C. Good has authored 61 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rehabilitation, 21 papers in Cognitive Neuroscience and 19 papers in Neurology. Recurrent topics in David C. Good's work include Stroke Rehabilitation and Recovery (25 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Motor Control and Adaptation (9 papers). David C. Good is often cited by papers focused on Stroke Rehabilitation and Recovery (25 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Motor Control and Adaptation (9 papers). David C. Good collaborates with scholars based in United States, United Kingdom and Canada. David C. Good's co-authors include David A. Gelber, Robert L. Sainburg, Andrzej Przybyla, Joseph Henkle, Steve Verhulst, Jennifer Welsh, Frank G. Hillary, S J Verhulst, John D. Medaglia and Douglas Jeffery and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and NeuroImage.

In The Last Decade

David C. Good

60 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Good United States 30 815 802 746 571 374 61 2.6k
Michael Reding United States 30 1.3k 1.6× 572 0.7× 792 1.1× 736 1.3× 446 1.2× 66 3.7k
Kersten Villringer Germany 32 835 1.0× 1.1k 1.3× 972 1.3× 1.1k 1.9× 578 1.5× 107 3.8k
Elio Troisi Italy 27 595 0.7× 313 0.4× 754 1.0× 679 1.2× 286 0.8× 57 2.3k
Min Ho Chun South Korea 25 858 1.1× 445 0.6× 366 0.5× 311 0.5× 642 1.7× 96 2.0k
A. Yelnik France 27 1.0k 1.3× 375 0.5× 1.2k 1.5× 682 1.2× 299 0.8× 103 3.0k
Palle Møller Pedersen Denmark 16 864 1.1× 1.1k 1.3× 455 0.6× 849 1.5× 266 0.7× 21 2.5k
Vittorio Di Piero Italy 35 608 0.7× 1.1k 1.4× 949 1.3× 676 1.2× 988 2.6× 157 4.4k
J A Eyre United Kingdom 28 216 0.3× 709 0.9× 719 1.0× 300 0.5× 670 1.8× 71 3.8k
Leopold Saltuari Italy 30 789 1.0× 423 0.5× 1.3k 1.7× 345 0.6× 665 1.8× 141 2.8k
Bastian Cheng Germany 28 493 0.6× 783 1.0× 585 0.8× 964 1.7× 503 1.3× 137 2.5k

Countries citing papers authored by David C. Good

Since Specialization
Citations

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

Fields of papers citing papers by David C. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Good. 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 David C. Good. The network helps show where David C. Good may publish in the future.

Co-authorship network of co-authors of David C. Good

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Good. A scholar is included among the top collaborators of David C. Good 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 David C. Good. David C. Good 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.
Wagstaff, David A., et al.. (2021). Remedial Training of the Less-Impaired Arm in Chronic Stroke Survivors With Moderate to Severe Upper-Extremity Paresis Improves Functional Independence: A Pilot Study. Frontiers in Human Neuroscience. 15. 645714–645714. 14 indexed citations
2.
Good, David C., et al.. (2020). Left hemisphere damage produces deficits in predictive control of bilateral coordination. Experimental Brain Research. 238(12). 2733–2744. 12 indexed citations
3.
Good, David C., et al.. (2019). Functional Deficits in the Less-Impaired Arm of Stroke Survivors Depend on Hemisphere of Damage and Extent of Paretic Arm Impairment. Neurorehabilitation and neural repair. 34(1). 39–50. 39 indexed citations
4.
Jo, Hang Jin, et al.. (2016). Effects of unilateral stroke on multi-finger synergies and their feed-forward adjustments. Neuroscience. 319. 194–205. 46 indexed citations
5.
Hillary, Frank G., Sarah Rajtmajer, Cristina A F Román, et al.. (2014). The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks. PLoS ONE. 9(8). e104021–e104021. 119 indexed citations
6.
Mutha, Pratik K., et al.. (2013). Contralesional motor deficits after unilateral stroke reflect hemisphere-specific control mechanisms. Brain. 136(4). 1288–1303. 121 indexed citations
7.
Hillary, Frank G., John D. Medaglia, Kathleen M. Gates, Peter C. M. Molenaar, & David C. Good. (2012). Examining network dynamics after traumatic brain injury using the extended unified SEM approach. Brain Imaging and Behavior. 8(3). 435–445. 17 indexed citations
8.
Medaglia, John D., Kathy S. Chiou, Julia E. Slocomb, et al.. (2011). The Less BOLD, the Wiser: Support for the latent resource hypothesis after traumatic brain injury. Human Brain Mapping. 33(4). 979–993. 33 indexed citations
9.
Hillary, Frank G., Julia E. Slocomb, Everett C. Hills, et al.. (2011). Changes in resting connectivity during recovery from severe traumatic brain injury. International Journal of Psychophysiology. 82(1). 115–123. 103 indexed citations
10.
Przybyla, Andrzej, David C. Good, & Robert L. Sainburg. (2011). Dynamic dominance varies with handedness: reduced interlimb asymmetries in left-handers. Experimental Brain Research. 216(3). 419–431. 76 indexed citations
11.
Hillary, Frank G., John D. Medaglia, Kathleen M. Gates, et al.. (2011). Examining working memory task acquisition in a disrupted neural network. Brain. 134(5). 1555–1570. 65 indexed citations
12.
Sawaki, Lumy, Andrew J. Butler, Xiaoyan Leng, et al.. (2008). Constraint-Induced Movement Therapy Results in Increased Motor Map Area in Subjects 3 to 9 Months After Stroke. Neurorehabilitation and neural repair. 22(5). 505–513. 175 indexed citations
13.
Foster, Donald J., et al.. (2006). Atomoxetine Enhances a Short-Term Model of Plasticity in Humans. Archives of Physical Medicine and Rehabilitation. 87(2). 216–221. 24 indexed citations
14.
Good, David C.. (2003). Stroke. American Journal of Physical Medicine & Rehabilitation. 82(Supplement). S50–S57. 9 indexed citations
15.
Bastings, E., H. Donald Gage, Jason Greenberg, et al.. (1998). Co-registration of cortical magnetic stimulation and functional magnetic resonance imaging. Neuroreport. 9(9). 1941–1946. 31 indexed citations
16.
Bastings, E., Giuseppe Rapisarda, Giovanni Pennisi, et al.. (1997). Mechanisms of Hand Motor Recovery After Stroke: An Electrophysiologic Study of Central Motor Pathways. 11(2). 97–108. 10 indexed citations
17.
Good, David C. & J.R. Couch. (1994). Handbook of neurorehabilitation. Marcel Dekker eBooks. 14 indexed citations
18.
Good, David C.. (1994). Treatment Strategies for Enhancing Motor Recovery in Stroke Rehabilitation. Neurorehabilitation and neural repair. 8(4). 177–186. 14 indexed citations
19.
Good, David C.. (1990). Episodic Neurologic Symptoms. Europe PMC (PubMed Central). 2 indexed citations
20.
Couch, J.R., et al.. (1988). Visualization of brain iron by mid-field MR.. PubMed. 9(1). 77–82. 4 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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