Peter E. Konrad

6.1k total citations
169 papers, 4.0k citations indexed

About

Peter E. Konrad is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Peter E. Konrad has authored 169 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Neurology, 62 papers in Cellular and Molecular Neuroscience and 36 papers in Cognitive Neuroscience. Recurrent topics in Peter E. Konrad's work include Neurological disorders and treatments (74 papers), Parkinson's Disease Mechanisms and Treatments (49 papers) and Neuroscience and Neural Engineering (27 papers). Peter E. Konrad is often cited by papers focused on Neurological disorders and treatments (74 papers), Parkinson's Disease Mechanisms and Treatments (49 papers) and Neuroscience and Neural Engineering (27 papers). Peter E. Konrad collaborates with scholars based in United States, Germany and Canada. Peter E. Konrad's co-authors include Chris Kao, Anita Mahadevan‐Jansen, E. Jansen, Jonathon Wells, Joseph S. Neimat, Benoît M. Dawant, David Charles, Dario J. Englot, Thomas L. Davis and Victoria L. Morgan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Peter E. Konrad

155 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter E. Konrad United States 34 2.0k 1.8k 940 563 432 169 4.0k
Kendall H. Lee United States 44 2.7k 1.4× 2.5k 1.4× 1.2k 1.2× 531 0.9× 366 0.8× 175 5.7k
Michael Schulder United States 31 1.0k 0.5× 1.5k 0.8× 827 0.9× 1.2k 2.2× 181 0.4× 142 4.2k
Nobuhiro Mikuni Japan 36 1.2k 0.6× 1.4k 0.8× 1.8k 1.9× 805 1.4× 1.3k 3.0× 270 4.6k
Aviva Abosch United States 34 1.7k 0.9× 2.6k 1.5× 651 0.7× 519 0.9× 246 0.6× 98 4.2k
Jennifer Linn Germany 43 668 0.3× 2.6k 1.5× 759 0.8× 936 1.7× 715 1.7× 185 6.1k
Anders Fuglsang‐Frederiksen Denmark 41 1.1k 0.5× 1.8k 1.1× 1.6k 1.7× 629 1.1× 743 1.7× 203 5.6k
André G. Machado United States 40 1.6k 0.8× 3.3k 1.9× 1.4k 1.5× 536 1.0× 567 1.3× 206 6.2k
Volker Tronnier Germany 44 1.2k 0.6× 3.1k 1.8× 588 0.6× 1.2k 2.1× 420 1.0× 194 6.1k
Reiner Benecke Germany 38 1.3k 0.7× 2.7k 1.5× 1.3k 1.4× 380 0.7× 509 1.2× 101 5.5k
Julie G. Pilitsis United States 35 904 0.5× 1.7k 1.0× 307 0.3× 579 1.0× 185 0.4× 267 4.2k

Countries citing papers authored by Peter E. Konrad

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Konrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Konrad. 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 Peter E. Konrad. The network helps show where Peter E. Konrad may publish in the future.

Co-authorship network of co-authors of Peter E. Konrad

This figure shows the co-authorship network connecting the top 25 collaborators of Peter E. Konrad. A scholar is included among the top collaborators of Peter E. Konrad 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 Peter E. Konrad. Peter E. Konrad 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.
2.
Pereira, Michael, Nathan Faivre, Fosco Bernasconi, et al.. (2025). Subcortical correlates of consciousness with human single neuron recordings. eLife. 13.
3.
Lyons, Alexander T., Daniel Habib, Idris Long, et al.. (2025). Effect of deep brain stimulation on nonmotor symptoms in essential tremor. Journal of neurosurgery. 143(1). 38–52.
4.
Kusunose, Jiro, William Rodriguez, Huiwen Luo, et al.. (2024). Design and Validation of a Patient-Specific Stereotactic Frame for Transcranial Ultrasound Therapy. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(8). 1030–1041. 4 indexed citations
5.
Pereira, Michael, Nathan Faivre, Fosco Bernasconi, et al.. (2024). Subcortical correlates of consciousness with human single neuron recordings. eLife. 13.
6.
Papantoniou, Kyriaki, Peter E. Konrad, Shahab Haghayegh, et al.. (2023). Rotating Night Shift Work, Sleep, and Thyroid Cancer Risk in the Nurses’ Health Study 2. Cancers. 15(23). 5673–5673. 7 indexed citations
7.
Hacker, Mallory L., Michael G. Tramontana, Maxim Turchan, et al.. (2023). Long-term neuropsychological outcomes of deep brain stimulation in early-stage Parkinson's disease. Parkinsonism & Related Disorders. 113. 105479–105479. 3 indexed citations
8.
Mirkiani, Soroush, Dirk G. Everaert, Amirali Toossi, et al.. (2022). Overground gait kinematics and muscle activation patterns in the Yucatan mini pig. Journal of Neural Engineering. 19(2). 26009–26009. 9 indexed citations
9.
Ali, Rushna, Dario J. Englot, Hong Yu, et al.. (2021). Experience From 211 Transcortical Selective Amygdalohippocampectomy Procedures: Relevant Surgical Anatomy and Review of the Literature. Operative Neurosurgery. 21(4). 181–188. 3 indexed citations
10.
González, Hernán F. J., Graham W. Johnson, Kevin F. Haas, et al.. (2021). Role of the Nucleus Basalis as a Key Network Node in Temporal Lobe Epilepsy. Neurology. 96(9). e1334–e1346. 18 indexed citations
11.
Acosta, Lealani Mae Y., et al.. (2020). Protocolizing the Workup for Idiopathic Normal Pressure Hydrocephalus Improves Outcomes. Neurology Clinical Practice. 11(4). e447–e453. 3 indexed citations
12.
Schultz, David M., Aaron Calodney, Alon Y. Mogilner, et al.. (2016). Spinal Cord Stimulation (SCS)—The Implantable Systems Performance Registry (ISPR). Neuromodulation Technology at the Neural Interface. 19(8). 857–863. 1 indexed citations
13.
Forbes, Jonathan A., Travis R. Ladner, Elyne N. Kahn, et al.. (2013). Open Thoracic Cordotomy as a Treatment Option for Severe, Debilitating Pain. Journal of Neurological Surgery Part A Central European Neurosurgery. 75(2). 126–132. 12 indexed citations
14.
Remple, Michael S., et al.. (2011). Subthalamic nucleus neuronal firing rate increases with Parkinson's disease progression. Movement Disorders. 26(9). 1657–1662. 59 indexed citations
15.
Pallavaram, Srivatsan, Hong Yu, Pierre-François D’Haese, et al.. (2008). Intersurgeon Variability in the Selection of Anterior and Posterior Commissures and Its Potential Effects on Target Localization. Stereotactic and Functional Neurosurgery. 86(2). 113–119. 30 indexed citations
16.
Wells, Jonathon, et al.. (2005). Optical stimulation of neural tissue in vivo. Optics Letters. 30(5). 504–504. 239 indexed citations
17.
Song, John K., Brian B. Burkey, & Peter E. Konrad. (2003). Lateral Approach to a Neurenteric Cyst of the Cervical Spine. Spine. 28(4). E81–E85. 7 indexed citations
18.
Abou‐Khalil, Bassel, et al.. (2001). Frontal Localization of Absence Seizures Demonstrated by Ictal Positron Emission Tomography. Epilepsy & Behavior. 2(1). 54–60. 19 indexed citations
19.
Freiwald, Jürgen, et al.. (1997). [The nerve supply of the knee joint].. PubMed. 147(23-24). 531–41. 6 indexed citations
20.
Cook, James, Peter E. Konrad, & Willis A. Tacker. (1990). Amplitude and latency characteristics of spinal cord motor-evoked potentials in dogs. American Journal of Veterinary Research. 51(9). 1340–1344. 2 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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