M. Samuel

2.1k total citations
22 papers, 1.3k citations indexed

About

M. Samuel is a scholar working on Neurology, Cognitive Neuroscience and Physiology. According to data from OpenAlex, M. Samuel has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 6 papers in Cognitive Neuroscience and 4 papers in Physiology. Recurrent topics in M. Samuel's work include Neurological disorders and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). M. Samuel is often cited by papers focused on Neurological disorders and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). M. Samuel collaborates with scholars based in United Kingdom, Canada and Singapore. M. Samuel's co-authors include David J. Brooks, Karl Friston, R.E. Passingham, Alain Dagher, Henning Boecker, J.-B. Poline, Christian Dettmers, Andrés Ceballos-Baumann, B. Conrad and Richard G. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

M. Samuel

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Samuel United Kingdom 15 816 376 271 254 123 22 1.3k
Cesare Iani Italy 20 598 0.7× 240 0.6× 472 1.7× 234 0.9× 66 0.5× 43 1.1k
Tamotsu Kubori Japan 22 1.1k 1.4× 344 0.9× 265 1.0× 307 1.2× 47 0.4× 47 1.4k
Jean‐François Albucher France 17 489 0.6× 412 1.1× 676 2.5× 194 0.8× 58 0.5× 41 1.9k
Daniel L. Menkes United States 15 318 0.4× 167 0.4× 260 1.0× 163 0.6× 141 1.1× 52 816
Georg Kägi Switzerland 20 852 1.0× 131 0.3× 169 0.6× 378 1.5× 271 2.2× 60 1.5k
Christian Blahak Germany 21 1.2k 1.5× 184 0.5× 289 1.1× 549 2.2× 32 0.3× 59 1.8k
Bernhard Voller Austria 20 683 0.8× 324 0.9× 605 2.2× 233 0.9× 46 0.4× 36 1.4k
Gabriele Polonara Italy 21 287 0.4× 524 1.4× 113 0.4× 165 0.6× 153 1.2× 82 1.4k
Ashwin Viswanathan United States 20 535 0.7× 206 0.5× 112 0.4× 364 1.4× 218 1.8× 74 1.1k
Diego Torres‐Russotto United States 13 664 0.8× 160 0.4× 239 0.9× 277 1.1× 25 0.2× 41 1000

Countries citing papers authored by M. Samuel

Since Specialization
Citations

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

Fields of papers citing papers by M. Samuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Samuel

This figure shows the co-authorship network connecting the top 25 collaborators of M. Samuel. A scholar is included among the top collaborators of M. Samuel 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 M. Samuel. M. Samuel 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.
Samuel, M., et al.. (2025). Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia Assessment. IEEE Open Journal of Engineering in Medicine and Biology. 6. 322–331. 1 indexed citations
2.
Bell, Kirsten E., Michael T. Paris, M. Samuel, & Marina Mourtzakis. (2024). Reliability of ultrasound measurements of muscle thickness and echointensity in older adults with type 2 diabetes. SHILAP Revista de lepidopterología. 2(1). 100032–100032. 3 indexed citations
3.
Klingelhoefer, Lisa, Thomas T. Warner, Davide Martino, et al.. (2014). Evaluation of the use of a dystonia non motor symptom questionnaire for craniocervical dystonia in the outpatient clinic. UCL Discovery (University College London). 3 indexed citations
4.
Okai, David, M. Samuel, Sally Askey‐Jones, Anthony S. David, & Richard G. Brown. (2011). Impulse control disorders and dopamine dysregulation in Parkinson’s disease: a broader conceptual framework. European Journal of Neurology. 18(12). 1379–1383. 34 indexed citations
5.
Shotbolt, Paul, John Moriarty, Angela Costello, et al.. (2011). Relationships between deep brain stimulation and impulse control disorders in Parkinson’s disease, with a literature review. Parkinsonism & Related Disorders. 18(1). 10–16. 33 indexed citations
6.
Hurt, Catherine S., B. A. Thomas, David J. Burn, et al.. (2010). Coping in Parkinson's disease: an examination of the coping inventory for stressful situations. International Journal of Geriatric Psychiatry. 26(10). 1030–1037. 21 indexed citations
7.
Tiong, Ho Yee, et al.. (2007). A meta-analysis of local anesthesia for transrectal ultrasound-guided biopsy of the prostate. Prostate Cancer and Prostatic Diseases. 10(2). 127–136. 50 indexed citations
8.
Chaudhuri, К. Ray, et al.. (2006). IV.P11 Subthalamic nucleus (STN) deep brain stimulation (DBS) and the non-motor symptom scale (NMSS) in Parkinson's Disease (PD). Parkinsonism & Related Disorders. 12. 35–36. 2 indexed citations
9.
Quah, H. M., et al.. (2005). Meta-analysis of randomized clinical trials comparing drainage alone vs primary sphincter-cutting procedures for anorectal abscess–fistula. International Journal of Colorectal Disease. 21(6). 602–609. 63 indexed citations
10.
Samuel, M.. (2004). Progressive ataxia and palatal tremor (PAPT): Clinical and MRI assessment with review of palatal tremors. Brain. 127(6). 1252–1268. 94 indexed citations
11.
Anantham, Devanand, Mariko Siyue Koh, Thun‐How Ong, et al.. (2004). Simple aspiration versus chest-tube insertion in the management of primary spontaneous pneumothorax: a systematic review. Respiratory Medicine. 98(7). 579–590. 43 indexed citations
12.
Brooks, David J., Paola Piccini, N. Turjanski, & M. Samuel. (2000). Neuroimaging of dyskinesia.. PubMed. 47(4 Suppl 1). S154–8; discussion S158. 69 indexed citations
13.
Schrag, Anette, M. Samuel, E. Caputo, et al.. (1999). Unilateral pallidotomy for Parkinson's disease: results after more than 1 year. Journal of Neurology Neurosurgery & Psychiatry. 67(4). 511–517. 24 indexed citations
14.
Boecker, Henning, Alain Dagher, Andrés Ceballos-Baumann, et al.. (1998). Role of the human rostral supplementary motor area and the basal ganglia in motor sequence control: Investigations with H-2 O-15 PET (vol 79, pg 1070, 1998). UCL Discovery (University College London). 2 indexed citations
15.
16.
Samuel, M., Steven Williams, A. Simmons, et al.. (1998). Exploring the temporal nature of hemodynamic responses of cortical motor areas using functional MRI. Neurology. 51(6). 1567–1575. 26 indexed citations
17.
Boecker, Henning, Alain Dagher, Andrés Ceballos-Baumann, et al.. (1998). Role of the Human Rostral Supplementary Motor Area and the Basal Ganglia in Motor Sequence Control: Investigations With H2 15O PET. Journal of Neurophysiology. 79(2). 1070–1080. 195 indexed citations
18.
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20.
Boecker, Henning, Alain Dagher, Andrés Ceballos-Baumann, et al.. (1996). P449 The role of rostral supplementary motor area and basal ganglia in motor sequence control. Electroencephalography and Clinical Neurophysiology. 99(4). 379–379. 1 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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