David T. Brocker

712 total citations
10 papers, 501 citations indexed

About

David T. Brocker is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, David T. Brocker has authored 10 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 10 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in David T. Brocker's work include Neurological disorders and treatments (10 papers), Neuroscience and Neural Engineering (8 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). David T. Brocker is often cited by papers focused on Neurological disorders and treatments (10 papers), Neuroscience and Neural Engineering (8 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). David T. Brocker collaborates with scholars based in United States. David T. Brocker's co-authors include Warren M. Grill, Brandon D. Swan, Dennis A. Turner, Robert E. Gross, Rosa Q. So, Stephen B. Tatter, Helen Brontë‐Stewart, Mandy Miller Koop, Stephen L. Schmidt and Alexander R. Kent and has published in prestigious journals such as Journal of Neurophysiology, Science Translational Medicine and Experimental Neurology.

In The Last Decade

David T. Brocker

10 papers receiving 499 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 T. Brocker United States 9 413 370 163 58 48 10 501
Stephanie Cernera United States 15 315 0.8× 463 1.3× 173 1.1× 96 1.7× 23 0.5× 24 555
Maya Slovik Israel 3 486 1.2× 419 1.1× 259 1.6× 65 1.1× 31 0.6× 5 585
Abirami Muralidharan United States 10 321 0.8× 257 0.7× 172 1.1× 28 0.5× 40 0.8× 12 391
Hadass Tischler Israel 8 260 0.6× 226 0.6× 120 0.7× 67 1.2× 27 0.6× 10 333
Nathan Ziman United States 7 378 0.9× 517 1.4× 136 0.8× 94 1.6× 24 0.5× 10 600
Robert Wilt United States 7 212 0.5× 273 0.7× 139 0.9× 36 0.6× 38 0.8× 8 372
Merrill J. Birdno United States 8 476 1.2× 443 1.2× 166 1.0× 100 1.7× 76 1.6× 8 603
Odeya Marmor Israel 10 312 0.8× 388 1.0× 181 1.1× 42 0.7× 9 0.2× 14 497
Alexis M. Kuncel United States 10 730 1.8× 759 2.1× 246 1.5× 81 1.4× 56 1.2× 12 916
Stephen L. Schmidt United States 11 250 0.6× 136 0.4× 270 1.7× 131 2.3× 16 0.3× 21 443

Countries citing papers authored by David T. Brocker

Since Specialization
Citations

This map shows the geographic impact of David T. Brocker'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 T. Brocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Brocker more than expected).

Fields of papers citing papers by David T. Brocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David T. Brocker

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

All Works

10 of 10 papers shown
1.
Schmidt, Stephen L., David T. Brocker, Brandon D. Swan, Dennis A. Turner, & Warren M. Grill. (2020). Evoked potentials reveal neural circuits engaged by human deep brain stimulation. Brain stimulation. 13(6). 1706–1718. 48 indexed citations
3.
Swan, Brandon D., David T. Brocker, Robert E. Gross, Dennis A. Turner, & Warren M. Grill. (2019). Effects of ramped-frequency thalamic deep brain stimulation on tremor and activity of modeled neurons. Clinical Neurophysiology. 131(3). 625–634. 1 indexed citations
4.
Brocker, David T., et al.. (2018). Patterned low-frequency deep brain stimulation induces motor deficits and modulates cortex-basal ganglia neural activity in healthy rats. Journal of Neurophysiology. 120(5). 2410–2422. 9 indexed citations
5.
Brocker, David T., Brandon D. Swan, Rosa Q. So, et al.. (2017). Optimized temporal pattern of brain stimulation designed by computational evolution. Science Translational Medicine. 9(371). 102 indexed citations
6.
Brocker, David T., et al.. (2016). A biophysical model of the cortex-basal ganglia-thalamus network in the 6-OHDA lesioned rat model of Parkinson’s disease. Journal of Computational Neuroscience. 40(2). 207–229. 69 indexed citations
7.
Swan, Brandon D., David T. Brocker, Stephen B. Tatter, et al.. (2015). Short pauses in thalamic deep brain stimulation promote tremor and neuronal bursting. Clinical Neurophysiology. 127(2). 1551–1559. 23 indexed citations
8.
Kent, Alexander R., Brandon D. Swan, David T. Brocker, et al.. (2014). Measurement of Evoked Potentials During Thalamic Deep Brain Stimulation. Brain stimulation. 8(1). 42–56. 35 indexed citations
9.
Brocker, David T. & Warren M. Grill. (2013). Principles of electrical stimulation of neural tissue. Handbook of clinical neurology. 116. 3–18. 99 indexed citations
10.
Brocker, David T., Brandon D. Swan, Dennis A. Turner, et al.. (2012). Improved efficacy of temporally non-regular deep brain stimulation in Parkinson's disease. Experimental Neurology. 239. 60–67. 93 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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