David T. Brocker

11 total papers · 710 total citations
10 papers, 494 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 494 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, Dennis A. Turner, Brandon D. Swan, Robert E. Gross, Rosa Q. So, Stephen B. Tatter, Mandy Miller Koop, Helen Brontë‐Stewart, 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 492 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David T. Brocker 410 366 161 58 48 10 494
Stephanie Cernera 311 0.8× 445 1.2× 167 1.0× 92 1.6× 22 0.5× 24 534
Pedram Afshar 354 0.9× 275 0.8× 223 1.4× 44 0.8× 73 1.5× 13 458
J. Elek 254 0.6× 247 0.7× 108 0.7× 66 1.1× 234 4.9× 17 436
Sheng-Huang Lin 227 0.6× 345 0.9× 90 0.6× 88 1.5× 63 1.3× 21 525
Odeya Marmor 311 0.8× 385 1.1× 179 1.1× 42 0.7× 8 0.2× 14 490
H.C.F. Martens 306 0.7× 357 1.0× 150 0.9× 75 1.3× 24 0.5× 11 443
Stephen L. Schmidt 248 0.6× 131 0.4× 267 1.7× 128 2.2× 16 0.3× 20 435
Lut Goossens 297 0.7× 287 0.8× 252 1.6× 139 2.4× 17 0.4× 7 536
Jun Lian 324 0.8× 164 0.4× 252 1.6× 70 1.2× 18 0.4× 12 433
Daria Nesterovich Anderson 279 0.7× 332 0.9× 193 1.2× 64 1.1× 18 0.4× 18 460

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

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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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