Patrick D. Ganzer

1.2k total citations
20 papers, 892 citations indexed

About

Patrick D. Ganzer is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Patrick D. Ganzer has authored 20 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 11 papers in Neurology. Recurrent topics in Patrick D. Ganzer's work include EEG and Brain-Computer Interfaces (12 papers), Spinal Cord Injury Research (8 papers) and Neuroscience and Neural Engineering (8 papers). Patrick D. Ganzer is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Spinal Cord Injury Research (8 papers) and Neuroscience and Neural Engineering (8 papers). Patrick D. Ganzer collaborates with scholars based in United States, Switzerland and United Kingdom. Patrick D. Ganzer's co-authors include Robert L. Rennaker, Michael P. Kilgard, Seth A. Hays, Eric Meyers, Megan Ryan Detloff, John D. Houlé, Karen A. Moxon, Evan J. Smith, Andrea Ruiz and Jed S. Shumsky and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Patrick D. Ganzer

19 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick D. Ganzer United States 14 441 410 370 221 140 20 892
Boubker Zaaimi United Kingdom 16 415 0.9× 559 1.4× 262 0.7× 140 0.6× 357 2.5× 18 1.1k
Eric Meyers United States 11 371 0.8× 310 0.8× 228 0.6× 58 0.3× 91 0.7× 25 758
Tommaso Bocci Italy 22 831 1.9× 385 0.9× 425 1.1× 175 0.8× 216 1.5× 93 1.6k
Antonino Casabona Italy 17 169 0.4× 197 0.5× 370 1.0× 148 0.7× 250 1.8× 61 1.2k
Jeffery A. Boychuk United States 13 225 0.5× 209 0.5× 254 0.7× 74 0.3× 132 0.9× 20 955
Xu‐Yun Hua China 19 332 0.8× 359 0.9× 254 0.7× 174 0.8× 80 0.6× 121 1.2k
Beatrice Cioni Italy 20 285 0.6× 385 0.9× 260 0.7× 277 1.3× 121 0.9× 37 1.3k
Giuliano Taccola Italy 18 139 0.3× 148 0.4× 323 0.9× 361 1.6× 134 1.0× 53 949
Michael D. Johnson United States 17 232 0.5× 482 1.2× 381 1.0× 212 1.0× 664 4.7× 28 1.1k
Monica Christova Austria 21 592 1.3× 424 1.0× 117 0.3× 145 0.7× 259 1.9× 55 1.1k

Countries citing papers authored by Patrick D. Ganzer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick D. Ganzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick D. Ganzer. 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 Patrick D. Ganzer. The network helps show where Patrick D. Ganzer may publish in the future.

Co-authorship network of co-authors of Patrick D. Ganzer

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick D. Ganzer. A scholar is included among the top collaborators of Patrick D. Ganzer 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 Patrick D. Ganzer. Patrick D. Ganzer 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.
Noel, Jean‐Paul, Marcia Bockbrader, Tommaso Bertoni, et al.. (2025). Neuronal responses in the human primary motor cortex coincide with the subjective onset of movement intention in brain–machine interface-mediated actions. PLoS Biology. 23(4). e3003118–e3003118. 1 indexed citations
2.
Yan, Zihan, et al.. (2024). State dependent vagus nerve stimulation for targeted plasticity therapy: challenges and considerations. SHILAP Revista de lepidopterología. 5.
3.
Kanumuri, Vivek V., et al.. (2023). Importance of timing optimization for closed-loop applications of vagus nerve stimulation. SHILAP Revista de lepidopterología. 9(1). 8–8. 6 indexed citations
4.
Ganzer, Patrick D., Steve Roof, Bunyen Teng, et al.. (2022). Dynamic detection and reversal of myocardial ischemia using an artificially intelligent bioelectronic medicine. Science Advances. 8(1). eabj5473–eabj5473. 9 indexed citations
5.
Serino, Andrea, Marcia Bockbrader, Tommaso Bertoni, et al.. (2022). Sense of agency for intracortical brain–machine interfaces. Nature Human Behaviour. 6(4). 565–578. 29 indexed citations
6.
Ganzer, Patrick D., Samuel C. Colachis, Michael A. Schwemmer, et al.. (2020). Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface. Cell. 181(4). 763–773.e12. 107 indexed citations
7.
Franklin, R., Ali Hassani, Dimitar Filev, et al.. (2019). Towards a Modular Brain-Machine Interface for Intelligent Vehicle Systems Control – A CARLA Demonstration. 277–284. 1 indexed citations
8.
Meyers, Eric, Elaine Lai, Patrick D. Ganzer, et al.. (2019). Enhancing plasticity in central networks improves motor and sensory recovery after nerve damage. Nature Communications. 10(1). 5782–5782. 77 indexed citations
9.
Ganzer, Patrick D., Eric Meyers, Andrea Ruiz, et al.. (2018). Closed-loop neuromodulation restores network connectivity and motor control after spinal cord injury. eLife. 7. 106 indexed citations
10.
11.
Meyers, Eric, et al.. (2018). Vagus Nerve Stimulation Enhances Stable Plasticity and Generalization of Stroke Recovery. Stroke. 49(3). 710–717. 161 indexed citations
12.
Annetta, Nicholas V., Mingming Zhang, W. Jerry Mysiw, et al.. (2018). A High Definition Noninvasive Neuromuscular Electrical Stimulation System for Cortical Control of Combinatorial Rotary Hand Movements in a Human With Tetraplegia. IEEE Transactions on Biomedical Engineering. 66(4). 910–919. 27 indexed citations
13.
14.
Ganzer, Patrick D., Eric Meyers, Andrew M. Sloan, et al.. (2016). Awake behaving electrophysiological correlates of forelimb hyperreflexia, weakness and disrupted muscular synchronization following cervical spinal cord injury in the rat. Behavioural Brain Research. 307. 100–111. 9 indexed citations
15.
Ganzer, Patrick D., et al.. (2016). Therapy induces widespread reorganization of motor cortex after complete spinal transection that supports motor recovery. Experimental Neurology. 279. 1–12. 15 indexed citations
16.
Foffani, Guglielmo, Jed S. Shumsky, Eric B. Knudsen, Patrick D. Ganzer, & Karen A. Moxon. (2015). Interactive Effects Between Exercise and Serotonergic Pharmacotherapy on Cortical Reorganization After Spinal Cord Injury. Neurorehabilitation and neural repair. 30(5). 479–489. 14 indexed citations
17.
Khodaparast, Navid, Michael P. Kilgard, Andrea Ruiz, et al.. (2015). Vagus Nerve Stimulation During Rehabilitative Training Improves Forelimb Recovery After Chronic Ischemic Stroke in Rats. Neurorehabilitation and neural repair. 30(7). 676–684. 103 indexed citations
18.
Detloff, Megan Ryan, et al.. (2015). Delayed Exercise Is Ineffective at Reversing Aberrant Nociceptive Afferent Plasticity or Neuropathic Pain After Spinal Cord Injury in Rats. Neurorehabilitation and neural repair. 30(7). 685–700. 40 indexed citations
19.
20.
Ganzer, Patrick D., Karen A. Moxon, Eric B. Knudsen, & Jed S. Shumsky. (2012). Serotonergic pharmacotherapy promotes cortical reorganization after spinal cord injury. Experimental Neurology. 241. 84–94. 26 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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