Mark J. Nolt

551 total citations
11 papers, 420 citations indexed

About

Mark J. Nolt is a scholar working on Cellular and Molecular Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark J. Nolt has authored 11 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark J. Nolt's work include Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Mark J. Nolt is often cited by papers focused on Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Mark J. Nolt collaborates with scholars based in United States and France. Mark J. Nolt's co-authors include Matthew S. Kayser, Matthew B. Dalva, Romesh D. Kumbhani, Larry A. Palmer, Martin Hruska, R. Suzanne Zukin, Michael V. L. Bennett, Jessica A. Murphy, Ying Lin and Joshua M. Rosenow and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Mark J. Nolt

11 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Nolt United States 7 313 96 85 73 71 11 420
Aurélie Genoux France 7 287 0.9× 57 0.6× 183 2.2× 40 0.5× 38 0.5× 12 437
Benjamín Förstera Germany 11 325 1.0× 78 0.8× 277 3.3× 49 0.7× 36 0.5× 13 522
Eleanor Grant United Kingdom 8 207 0.7× 118 1.2× 110 1.3× 142 1.9× 51 0.7× 8 412
Kyle W. Gheres United States 11 211 0.7× 52 0.5× 103 1.2× 131 1.8× 107 1.5× 13 431
J.C. S∅rensen Denmark 8 188 0.6× 47 0.5× 151 1.8× 43 0.6× 95 1.3× 8 351
Laetitia Francelle France 11 206 0.7× 131 1.4× 291 3.4× 25 0.3× 26 0.4× 14 545
M. Berg United States 6 287 0.9× 46 0.5× 251 3.0× 117 1.6× 27 0.4× 11 664
Lieven Huang United Kingdom 6 185 0.6× 28 0.3× 147 1.7× 51 0.7× 39 0.5× 8 380
Xiang-Dong Sun China 8 145 0.5× 38 0.4× 156 1.8× 36 0.5× 55 0.8× 8 333
Yasufumi Hayano Japan 10 257 0.8× 26 0.3× 95 1.1× 65 0.9× 30 0.4× 13 369

Countries citing papers authored by Mark J. Nolt

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Nolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Nolt. 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 Mark J. Nolt. The network helps show where Mark J. Nolt may publish in the future.

Co-authorship network of co-authors of Mark J. Nolt

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

All Works

11 of 11 papers shown
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Elahi, Behzad, et al.. (2022). Analysis of the intended and actual orientations of directional deep brain stimulation leads across deep brain stimulation systems. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1725–1728. 2 indexed citations
3.
Bhusal, Bhumi, Jason Stockmann, Bastien Guérin, et al.. (2021). Safety and image quality at 7T MRI for deep brain stimulation systems: Ex vivo study with lead-only and full-systems. PLoS ONE. 16(9). e0257077–e0257077. 21 indexed citations
4.
Nolt, Mark J., et al.. (2020). Prospective Evaluation of the Time Course of White Matter Edema Associated with Implanted Deep Brain Stimulation Electrodes. Stereotactic and Functional Neurosurgery. 99(3). 203–206. 8 indexed citations
5.
Bhusal, Bhumi, Bach T. Nguyen, Behzad Elahi, et al.. (2020). Effect of Device Configuration and Patient's Body Composition on the RF Heating and Nonsusceptibility Artifact of Deep Brain Stimulation Implants During MRI at 1.5T and 3T. Journal of Magnetic Resonance Imaging. 53(2). 599–610. 36 indexed citations
6.
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Jones, Michael R., et al.. (2020). Intraoperative Computed Tomography for Registration of Stereotactic Frame in Frame-Based Deep Brain Stimulation. Operative Neurosurgery. 20(3). E186–E189. 2 indexed citations
8.
Nolt, Mark J., Ying Lin, Martin Hruska, et al.. (2011). EphB Controls NMDA Receptor Function and Synaptic Targeting in a Subunit-Specific Manner. Journal of Neuroscience. 31(14). 5353–5364. 122 indexed citations
9.
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Kayser, Matthew S., Mark J. Nolt, & Matthew B. Dalva. (2008). EphB Receptors Couple Dendritic Filopodia Motility to Synapse Formation. Neuron. 59(1). 56–69. 160 indexed citations
11.
Kumbhani, Romesh D., Mark J. Nolt, & Larry A. Palmer. (2007). Precision, Reliability, and Information-Theoretic Analysis of Visual Thalamocortical Neurons. Journal of Neurophysiology. 98(5). 2647–2663. 40 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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2026