Daniel M. Corcos

15.7k total citations · 4 hit papers
225 papers, 11.3k citations indexed

About

Daniel M. Corcos is a scholar working on Neurology, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Daniel M. Corcos has authored 225 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Neurology, 90 papers in Cognitive Neuroscience and 82 papers in Biomedical Engineering. Recurrent topics in Daniel M. Corcos's work include Parkinson's Disease Mechanisms and Treatments (84 papers), Neurological disorders and treatments (81 papers) and Muscle activation and electromyography studies (80 papers). Daniel M. Corcos is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (84 papers), Neurological disorders and treatments (81 papers) and Muscle activation and electromyography studies (80 papers). Daniel M. Corcos collaborates with scholars based in United States, Brazil and Canada. Daniel M. Corcos's co-authors include David E. Vaillancourt, Gyan C. Agarwal, Gerald L. Gottlieb, Karl M. Newell, Mark L. Latash, Cynthia L. Comella, Janey Prodoehl, Sue E. Leurgans, Richard D. Penn and Gil Lúcio Almeida and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel M. Corcos

221 papers receiving 10.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variability and motor control

1993 612 citations Daniel M. Corcos et al. profile →
Three-dimensional locations and boundaries of motor and premotor cortices as defined by functional brain imaging: A meta-analysis

2006 579 citations Daniel M. Corcos, David E. Vaillancourt et al. profile →
Intrathecal Baclofen for Severe Spinal Spasticity

1989 537 citations Daniel M. Corcos, Gerald L. Gottlieb et al. profile →
Effect of High-Intensity Treadmill Exercise on Motor Symptoms in Patients With De Novo Parkinson Disease

2017 334 citations Margaret Schenkman, Charity G. Moore et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel M. Corcos United States	58	4.9k	4.9k	3.2k	2.1k	1.8k	225	11.3k
David E. Vaillancourt United States	57	4.9k 1.0×	3.9k 0.8×	2.1k 0.7×	1.1k 0.5×	885 0.5×	200	9.8k
William Z. Rymer United States	65	4.1k 0.8×	4.8k 1.0×	7.2k 2.3×	3.0k 1.4×	996 0.5×	342	13.7k
Amy J. Bastian United States	55	1.2k 0.2×	5.7k 1.2×	3.4k 1.1×	2.4k 1.1×	2.9k 1.6×	144	10.3k
Jeffery J. Summers Australia	47	1.8k 0.4×	3.7k 0.8×	1.6k 0.5×	1.6k 0.7×	1.4k 0.8×	137	7.8k
Jens Bo Nielsen Denmark	68	2.7k 0.6×	5.8k 1.2×	6.6k 2.1×	2.9k 1.3×	1.4k 0.8×	284	15.3k
David Burke Australia	63	3.2k 0.7×	4.8k 1.0×	4.6k 1.5×	705 0.3×	760 0.4×	204	12.8k
Michèle Tinazzi Italy	57	5.3k 1.1×	2.6k 0.5×	1.0k 0.3×	1.6k 0.8×	575 0.3×	314	9.8k
Jacques Duysens Netherlands	64	1.2k 0.2×	5.1k 1.0×	5.8k 1.8×	3.6k 1.7×	5.0k 2.8×	318	14.3k
Brian L. Day United Kingdom	52	2.1k 0.4×	6.7k 1.4×	3.5k 1.1×	1.1k 0.5×	1.8k 1.0×	128	12.7k
Rachael D. Seidler United States	57	1.1k 0.2×	5.9k 1.2×	1.5k 0.5×	1.2k 0.6×	1.1k 0.6×	197	10.1k

Countries citing papers authored by Daniel M. Corcos

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Corcos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Corcos. 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 Daniel M. Corcos. The network helps show where Daniel M. Corcos may publish in the future.

Co-authorship network of co-authors of Daniel M. Corcos

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

All Works

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20 of 20 papers shown

Nelson, R., Zasu M. Klug, Alvaro Donayre, et al.. (2025). Remote analysis and management of sweat biomarkers using a wearable microfluidic sticker in adult cystic fibrosis patients. Proceedings of the National Academy of Sciences. 122(33). e2506137122–e2506137122. 3 indexed citations

McKee, Kathleen, et al.. (2025). Advice to people with Parkinson's in my clinic: Get a cardiopulmonary exercise test. Journal of Parkinson s Disease. 15(3). 654–663. 1 indexed citations

Wilkes, Bradley J., David J. Arpin, Wei‐en Wang, et al.. (2023). Distinct cortical and subcortical predictors of Purdue Pegboard decline in Parkinson’s disease and atypical parkinsonism. npj Parkinson s Disease. 9(1). 85–85. 8 indexed citations

Pal, Gian, Daniel M. Corcos, Leo Verhagen Metman, et al.. (2023). Cognitive Effects of Subthalamic Nucleus Deep Brain Stimulation in Parkinson's Disease with GBA1 Pathogenic Variants. Movement Disorders. 38(12). 2155–2162. 6 indexed citations

Corcos, Daniel M., et al.. (2022). Effects of Endurance Training on Motor Signs of Parkinson’s Disease: A Systematic Review and Meta-Analysis. Sports Medicine. 52(8). 1789–1815. 23 indexed citations

McKee, Kathleen, et al.. (2022). Inclusion of Non–English‐Speaking Participants in Studies of Parkinson's Disease: A Call to Action. Movement Disorders. 37(10). 1990–1995. 1 indexed citations

Pal, Gian, Leo Verhagen Metman, Sepehr Sani, et al.. (2021). Increased Subthalamic Nucleus Deep Brain Stimulation Amplitude Impairs Inhibitory Control of Eye Movements in Parkinson's Disease. Neuromodulation Technology at the Neural Interface. 25(6). 866–876. 7 indexed citations

David, Fabian J., et al.. (2020). The effect of STN DBS on modulating brain oscillations: consequences for motor and cognitive behavior. Experimental Brain Research. 238(7-8). 1659–1676. 18 indexed citations

Metman, Leonard Verhagen, et al.. (2019). Bilateral subthalamic nucleus deep brain stimulation increases fixational saccades during movement preparation: evidence for impaired preparatory set. Experimental Brain Research. 237(11). 2841–2851. 6 indexed citations

10.

Christiansen, Cory L., Charity G. Moore, Margaret Schenkman, et al.. (2017). Factors Associated With Ambulatory Activity in De Novo Parkinson Disease. Journal of Neurologic Physical Therapy. 41(2). 93–100. 27 indexed citations

11.

David, Fabian J., Julie A. Robichaud, David E. Vaillancourt, et al.. (2016). Progressive resistance exercise restores some properties of the triphasic EMG pattern and improves bradykinesia: the PRET-PD randomized clinical trial. Journal of Neurophysiology. 116(5). 2298–2311. 37 indexed citations

12.

Rafferty, Miriam, Janey Prodoehl, Julie A. Robichaud, et al.. (2016). Effects of 2 Years of Exercise on Gait Impairment in People With Parkinson Disease: The PRET-PD Randomized Trial. Journal of Neurologic Physical Therapy. 41(1). 21–30. 51 indexed citations

13.

Danilovich, Margaret, Susan L. Hughes, Daniel M. Corcos, David X. Márquez, & Amy Eisenstein. (2016). Translating Strong for Life Into the Community Care Program: Lessons Learned. Journal of Applied Gerontology. 36(5). 553–569. 7 indexed citations

14.

Prodoehl, Janey, Peggy J. Planetta, Ajay S. Kurani, et al.. (2013). Differences in Brain Activation Between Tremor- and Nontremor-Dominant Parkinson Disease. JAMA Neurology. 70(1). 100–100. 71 indexed citations

15.

David, Fabian J., Miriam Rafferty, Julie A. Robichaud, et al.. (2011). Progressive Resistance Exercise and Parkinson's Disease: A Review of Potential Mechanisms. Parkinson s Disease. 2012. 1–10. 79 indexed citations

16.

Spraker, Matthew B., Janey Prodoehl, Daniel M. Corcos, Cynthia L. Comella, & David E. Vaillancourt. (2010). Basal ganglia hypoactivity during grip force in drug naïve Parkinson's disease. Human Brain Mapping. 31(12). 1928–1941. 61 indexed citations

17.

Vaillancourt, David E., Janey Prodoehl, Ivy Abraham, et al.. (2009). High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease. Neurology. 72(16). 1378–1384. 337 indexed citations

18.

Pfann, Kerstin D., R. D. Penn, Kathleen M. Shannon, Mark B. Shapiro, & Daniel M. Corcos. (1996). Effect of stimulation in the ventral intermediate nucleus of the thalamus on limb control in parkinson7apos;s disease: A case study. Movement Disorders. 11(3). 311–316. 8 indexed citations

19.

Rothwell, John C., et al.. (1995). STIMULATION AND RECORDING FROM THE NUCLEUS-VENTRALIS-INTERMEDIUS (VIM) IN A PATIENT WITH PARKINSONS-DISEASE. UCL Discovery (University College London). 1 indexed citations

20.

Corcos, Daniel M., Gyan C. Agarwal, & Gerald L. Gottlieb. (1985). A Note on Accepting the Null Hypothesis. Journal of Motor Behavior. 17(4). 481–487. 24 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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