Preet Minhas

2.6k total citations · 1 hit paper
13 papers, 1.8k citations indexed

About

Preet Minhas is a scholar working on Neurology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Preet Minhas has authored 13 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 5 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Preet Minhas's work include Transcranial Magnetic Stimulation Studies (13 papers), Muscle activation and electromyography studies (5 papers) and Neuroscience and Neural Engineering (4 papers). Preet Minhas is often cited by papers focused on Transcranial Magnetic Stimulation Studies (13 papers), Muscle activation and electromyography studies (5 papers) and Neuroscience and Neural Engineering (4 papers). Preet Minhas collaborates with scholars based in United States, Germany and Australia. Preet Minhas's co-authors include Marom Bikson, Abhishek Datta, Hsiao-I Kuo, Walter Paulus, Min‐Fang Kuo, Michael A. Nitsche, Lucas C. Parra, Dennis Q. Truong, Eric M. Wassermann and Dylan J. Edwards and has published in prestigious journals such as PLoS ONE, NeuroImage and Clinical Neurophysiology.

In The Last Decade

Preet Minhas

13 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparing Cortical Plasticity Induced by Conventional and High-Definition 4 × 1 Ring tDCS: A Neurophysiological Study

2012 517 citations Hsiao-I Kuo, Marom Bikson et al. Brain stimulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Preet Minhas United States	11	1.6k	1.1k	375	324	233	13	1.8k
Giorgi Batsikadze Germany	18	1.7k 1.1×	1.4k 1.3×	316 0.8×	349 1.1×	190 0.8×	35	2.2k
Csaba Poreisz Germany	10	1.8k 1.1×	1.1k 1.1×	332 0.9×	331 1.0×	210 0.9×	12	2.0k
K. Fricke Germany	5	2.1k 1.3×	1.2k 1.1×	466 1.2×	347 1.1×	234 1.0×	6	2.3k
Klára Boros Germany	9	1.6k 1.0×	975 0.9×	259 0.7×	260 0.8×	287 1.2×	10	1.8k
Peter J. Fried United States	24	1.2k 0.8×	992 0.9×	197 0.5×	193 0.6×	221 0.9×	59	1.7k
Dennis Q. Truong United States	26	1.9k 1.2×	1.1k 1.0×	429 1.1×	436 1.3×	286 1.2×	68	2.3k
S. Henning Germany	4	1.3k 0.8×	764 0.7×	278 0.7×	229 0.7×	162 0.7×	7	1.4k
Sara Määttä Finland	26	974 0.6×	1.2k 1.1×	236 0.6×	159 0.5×	161 0.7×	71	1.8k
Noritoshi Arai Japan	21	1.0k 0.6×	770 0.7×	392 1.0×	207 0.6×	102 0.4×	48	1.5k
Asif Jamil Germany	17	1.0k 0.7×	705 0.7×	245 0.7×	197 0.6×	111 0.5×	35	1.3k

Countries citing papers authored by Preet Minhas

Since Specialization

Citations

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

Fields of papers citing papers by Preet Minhas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Preet Minhas. 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 Preet Minhas. The network helps show where Preet Minhas may publish in the future.

Co-authorship network of co-authors of Preet Minhas

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

All Works

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13 of 13 papers shown

Liu, Anli, Daniel Friedman, Preet Minhas, et al.. (2015). Exploring the efficacy of a 5-day course of transcranial direct current stimulation (TDCS) on depression and memory function in patients with well-controlled temporal lobe epilepsy. Epilepsy & Behavior. 55. 11–20. 59 indexed citations

Gillick, Bernadette T., Adam Kirton, Jason B. Carmel, Preet Minhas, & Marom Bikson. (2014). Pediatric stroke and transcranial direct current stimulation: methods for rational individualized dose optimization. Frontiers in Human Neuroscience. 8. 739–739. 50 indexed citations

Guleyupoglu, Berkan, et al.. (2014). Reduced discomfort during high-definition transcutaneous stimulation using 6% benzocaine. PubMed. 7. 28–28. 31 indexed citations

Truong, Dennis Q., Berkan Guleyupoglu, Abhishek Datta, et al.. (2014). Inter-Individual Variation during Transcranial Direct Current Simulation and Normaliziation of Dose Using MRI-Derived Computational Models. Brain stimulation. 7(2). e10–e10. 2 indexed citations

Kessler, Sudha Kilaru, et al.. (2013). Dosage Considerations for Transcranial Direct Current Stimulation in Children: A Computational Modeling Study. PLoS ONE. 8(9). e76112–e76112. 141 indexed citations

Edwards, Dylan J., Mar Cortes, Abhishek Datta, et al.. (2013). Physiological and modeling evidence for focal transcranial electrical brain stimulation in humans: A basis for high-definition tDCS. NeuroImage. 74. 266–275. 341 indexed citations

Truong, Dennis Q., Berkan Guleyupoglu, Abhishek Datta, et al.. (2013). P 34. Inter-individual variation during transcranial direct current stimulation and normalization of dose using MRI-derived computational models. Clinical Neurophysiology. 124(10). e80–e80. 1 indexed citations

Arlotti, Mattia, Asif Rahman, Preet Minhas, & Marom Bikson. (2012). Axon terminal polarization induced by weak uniform DC electric fields: A modeling study. PubMed. 2012. 4575–4578. 40 indexed citations

Datta, Abhishek, Dennis Q. Truong, Preet Minhas, Lucas C. Parra, & Marom Bikson. (2012). Inter-Individual Variation during Transcranial Direct Current Stimulation and Normalization of Dose Using MRI-Derived Computational Models. Frontiers in Psychiatry. 3. 91–91. 316 indexed citations

10.

Minhas, Preet, et al.. (2012). Transcranial direct current stimulation in pediatric brain: A computational modeling study. PubMed. 2012. 859–862. 90 indexed citations

11.

Hahn, Christoph, et al.. (2012). Methods for extra-low voltage transcranial direct current stimulation: Current and time dependent impedance decreases. Clinical Neurophysiology. 124(3). 551–556. 41 indexed citations

12.

Kuo, Hsiao-I, Marom Bikson, Abhishek Datta, et al.. (2012). Comparing Cortical Plasticity Induced by Conventional and High-Definition 4 × 1 Ring tDCS: A Neurophysiological Study. Brain stimulation. 6(4). 644–648. 517 indexed citations breakdown →

13.

Minhas, Preet, Varun Bansal, Johnson Ho, et al.. (2010). Electrodes for high-definition transcutaneous DC stimulation for applications in drug delivery and electrotherapy, including tDCS. Journal of Neuroscience Methods. 190(2). 188–197. 178 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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