Related Experiment Video
Updated: Mar 2, 2026

14:14
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Published on: August 12, 2018
9.4K
Bibliometric profile of deep brain stimulation
Kejia Hu1,2,3, Ziev B Moses1,4, Wendong Xu2
1a Department of Neurosurgery , Massachusetts General Hospital, Harvard Medical School , Boston , MA , USA.
British Journal of Neurosurgery
|May 9, 2017
Summary
Researchers analyzed the 100 most cited deep brain stimulation (DBS) papers. The subthalamic nucleus (STN) was the most common target, with top papers originating from the USA and the University of Toronto.
Area of Science:
- Neuroscience
- Neurosurgery
- Biomedical Engineering
Background:
- Deep brain stimulation (DBS) is a crucial therapeutic modality for various neurological disorders.
- Identifying seminal works in DBS research is essential for understanding field progression and future directions.
Purpose of the Study:
- To identify and characterize the 100 most highly-cited research papers in the field of deep brain stimulation (DBS).
- To provide insights into the historical development and influential contributions within DBS research.
Main Methods:
- A comprehensive search of the Web of Science database was conducted for highly-cited papers related to DBS.
- Data extracted included citation counts, countries, institutions, publication years, and research areas.
Main Results:
- The top 100 DBS papers averaged 304.15 citations, with an annual average of 25.39 citations.
- The subthalamic nucleus (STN) was the most frequently targeted area in these influential studies.
- These papers were published in 46 high-impact journals, primarily originating from the USA (29 papers) and the University of Toronto (13 papers).
Conclusions:
- This analysis highlights the most impactful studies in DBS research, offering a historical perspective.
- The findings underscore the significance of STN-targeted DBS and identify key contributing institutions and countries.
- This information can guide future research by pinpointing areas of sustained interest and potential for further investigation.

