OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Breaking Proportional Recovery After Stroke
Merav R. Senesh, David J. Reinkensmeyer
Neurorehabilitation and neural repair (2019) Vol. 33, Iss. 11, pp. 888-901
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Brain computer interface training with motor imagery and functional electrical stimulation for patients with severe upper limb paresis after stroke: a randomized controlled pilot trial
Iris Brunner, Camilla Biering Lundquist, Asger Roer Pedersen, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 16

Segmental motor recovery after cervical spinal cord injury relates to density and integrity of corticospinal tract projections
Gustavo Balbinot, Guijin Li, Sukhvinder Kalsi‐Ryan, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24

Translating concepts of neural repair after stroke: Structural and functional targets for recovery
Robert W. Regenhardt, Hajime Takase, Eng H. Lo, et al.
Restorative Neurology and Neuroscience (2020) Vol. 38, Iss. 1, pp. 67-92
Open Access | Times Cited: 66

Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach
Yaar Harari, Megan K. O’Brien, Richard L. Lieber, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 54

Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
Hiren Kumar Thakkar, Wan-wen Liao, Ching‐Yi Wu, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 45

Computerised patient-specific prediction of the recovery profile of upper limb capacity within stroke services: the next step
Ruud W. Selles, Eleni‐Rosalina Andrinopoulou, Rinske Nijland, et al.
Journal of Neurology Neurosurgery & Psychiatry (2021) Vol. 92, Iss. 6, pp. 574-581
Open Access | Times Cited: 30

Insights into the dependence of post-stroke motor recovery on the initial corticospinal tract connectivity from a computational model
Dongwon Kim, Leah M O'Shea, Naveed Aghamohammadi
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access

Assessment of Neurological Impairment and Recovery Using Statistical Models of Neurologically Healthy Behavior
Stephen H. Scott, Catherine R. Lowrey, Ian E. Brown, et al.
Neurorehabilitation and neural repair (2022) Vol. 37, Iss. 6, pp. 394-408
Open Access | Times Cited: 17

Rudimentary Dexterity Corresponds With Reduced Ability to Move in Synergy After Stroke: Evidence of Competition Between Corticoreticulospinal and Corticospinal Tracts?
Merav R. Senesh, Karina Barragan, David J. Reinkensmeyer
Neurorehabilitation and neural repair (2020) Vol. 34, Iss. 10, pp. 904-914
Open Access | Times Cited: 27

β-Oscillations Reflect Recovery of the Paretic Upper Limb in Subacute Stroke
Chih‐Wei Tang, Fu‐Jung Hsiao, Po‐Lei Lee, et al.
Neurorehabilitation and neural repair (2020) Vol. 34, Iss. 5, pp. 450-462
Open Access | Times Cited: 23

Corticospinal Tract Microstructure Predicts Distal Arm Motor Improvements in Chronic Stroke
Bokkyu Kim, Nicolas Schweighofer, Justin P. Haldar, et al.
Journal of Neurologic Physical Therapy (2021) Vol. 45, Iss. 4, pp. 273-281
Open Access | Times Cited: 16

Automated multimodal segmentation of acute ischemic stroke lesions on clinical MR images
Hae Sol Moon, Lindsay Heffron, Ali Mahzarnia, et al.
Magnetic Resonance Imaging (2022) Vol. 92, pp. 45-57
Open Access | Times Cited: 11

Characterization of the influence of the dominant tract on hand closing post stroke based on the Fugl-Meyer score
Raziyeh Baghi, Dong-Won Kim, Kyung Koh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6

Does Measurement of Corticospinal Tract Involvement Add Value to Clinical Behavioral Biomarkers in Predicting Motor Recovery after Stroke?
Jong Youb Lim, Mi-Kyoung Oh, Jihong Park, et al.
Neural Plasticity (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 18

Arguments for the biological and predictive relevance of the proportional recovery rule
Jeff Goldsmith, Tomoko Kitago, Ángel García de la Garza, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 10

The road forward for upper-extremity rehabilitation robotics
Chad G. Rose, Ashish D. Deshpande, Jacob Carducci, et al.
Current Opinion in Biomedical Engineering (2021) Vol. 19, pp. 100291-100291
Closed Access | Times Cited: 14

The Evolution of Hand Proprioceptive and Motor Impairments in the Sub-Acute Phase After Stroke
Monika Zbytniewska-Mégret, C Salzmann, Christoph M. Kanzler, et al.
Neurorehabilitation and neural repair (2023) Vol. 37, Iss. 11-12, pp. 823-836
Open Access | Times Cited: 5

Performance-Based Robotic Training in Individuals with Subacute Stroke: Differences between Responders and Non-Responders
Ophélie Pila, Christophe Duret, Typhaine Koeppel, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4304-4304
Open Access | Times Cited: 3

Statistical Considerations for Drawing Conclusions About Recovery
Keith R. Lohse, Rachel L. Hawe, Sean P. Dukelow, et al.
Neurorehabilitation and neural repair (2020) Vol. 35, Iss. 1, pp. 10-22
Open Access | Times Cited: 8

Home-based portable fNIRS-derived cortical laterality correlates with impairment and function in chronic stroke
Christopher Friesen, Michael Lawrence, Tony G. J. Ingram, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5

Page 1 - Next Page

Scroll to top