Lalit Venkatesan

766 total citations
18 papers, 479 citations indexed

About

Lalit Venkatesan is a scholar working on Anesthesiology and Pain Medicine, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Lalit Venkatesan has authored 18 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Anesthesiology and Pain Medicine, 6 papers in Cognitive Neuroscience and 5 papers in Neurology. Recurrent topics in Lalit Venkatesan's work include Pain Management and Treatment (6 papers), Transcranial Magnetic Stimulation Studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Lalit Venkatesan is often cited by papers focused on Pain Management and Treatment (6 papers), Transcranial Magnetic Stimulation Studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Lalit Venkatesan collaborates with scholars based in United States, Germany and Australia. Lalit Venkatesan's co-authors include Steven M. Barlow, Helmi L. Lutsep, Carolee J. Winstein, Richard L. Harvey, Alexander R. Kent, Todd B. Parrish, Robert M. Levy, Steven C. Cramer, Brett Kissela and Binith Cheeran and has published in prestigious journals such as NeuroImage, Brain Research and Journal of Biomechanics.

In The Last Decade

Lalit Venkatesan

18 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lalit Venkatesan United States 12 157 140 139 121 120 18 479
Katja Witscher Germany 9 380 2.4× 131 0.9× 169 1.2× 107 0.9× 170 1.4× 11 608
Tomoyuki Maruo Japan 15 326 2.1× 342 2.4× 174 1.3× 281 2.3× 139 1.2× 40 934
A. Pascual-Leone United States 9 185 1.2× 69 0.5× 124 0.9× 33 0.3× 85 0.7× 18 398
Simona Farina Italy 9 241 1.5× 154 1.1× 46 0.3× 51 0.4× 166 1.4× 9 584
Estelle Raffin Switzerland 14 399 2.5× 70 0.5× 124 0.9× 78 0.6× 374 3.1× 33 679
Vishwanath Sankarasubramanian United States 15 411 2.6× 60 0.4× 151 1.1× 41 0.3× 137 1.1× 27 567
Hava Hafner Israel 13 170 1.1× 111 0.8× 99 0.7× 43 0.4× 131 1.1× 32 495
Wassim H. Farhat France 13 454 2.9× 107 0.8× 141 1.0× 37 0.3× 186 1.6× 21 607
Meyke Roosink Netherlands 14 70 0.4× 116 0.8× 58 0.4× 24 0.2× 144 1.2× 19 505
Weiqun Song China 15 251 1.6× 148 1.1× 56 0.4× 40 0.3× 366 3.0× 52 708

Countries citing papers authored by Lalit Venkatesan

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Venkatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalit Venkatesan

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

All Works

18 of 18 papers shown
1.
Costandi, Shrif, Leonardo Kapural, Nagy Mekhail, et al.. (2022). Impact of Long-Term Evoked Compound Action Potential Controlled Closed-Loop Spinal Cord Stimulation on Sleep Quality in Patients With Chronic Pain: An EVOKE Randomized Controlled Trial Study Subanalysis. Neuromodulation Technology at the Neural Interface. 26(5). 1030–1038. 11 indexed citations
2.
Yearwood, Thomas, Dirk De Ridder, Hye Bin Yoo, et al.. (2019). Comparison of Neural Activity in Chronic Pain Patients During Tonic and Burst Spinal Cord Stimulation Using Fluorodeoxyglucose Positron Emission Tomography. Neuromodulation Technology at the Neural Interface. 23(1). 56–63. 38 indexed citations
3.
Silburn, Peter A., Nader Pouratian, Binith Cheeran, et al.. (2019). Comparing Current Steering Technologies for Directional Deep Brain Stimulation Using a Computational Model That Incorporates Heterogeneous Tissue Properties. Neuromodulation Technology at the Neural Interface. 23(4). 469–477. 22 indexed citations
4.
Kent, Alexander R., Christine L. Weisshaar, Lalit Venkatesan, & Beth A. Winkelstein. (2019). Burst & High-Frequency Spinal Cord Stimulation Differentially Effect Spinal Neuronal Activity After Radiculopathy. Annals of Biomedical Engineering. 48(1). 112–120. 12 indexed citations
5.
Aziz, Tipu Z., et al.. (2018). Thalamic Directional Deep Brain Stimulation for tremor: Spend less, get more. Brain stimulation. 11(3). 600–606. 68 indexed citations
6.
Falowski, Steven, et al.. (2018). Nonawake vs Awake Placement of Spinal Cord Stimulators: A Prospective, Multicenter Study Comparing Safety and Efficacy. Neurosurgery. 84(1). 198–205. 31 indexed citations
7.
Vesper, Jan, Philipp J. Slotty, Stefan Schu, et al.. (2018). Burst SCS Microdosing Is as Efficacious as Standard Burst SCS in Treating Chronic Back and Leg Pain: Results From a Randomized Controlled Trial. Neuromodulation Technology at the Neural Interface. 22(2). 190–193. 45 indexed citations
8.
Clark, Shannon W., Lalit Venkatesan, David W. Boorman, et al.. (2016). 189 Comparison of Efficacy of Tonic and Burst Occipital Nerve Stimulation in Treating Trigeminal Allodynia. Neurosurgery. 63(Supplement 1). 175–175. 3 indexed citations
9.
Levy, Robert M., Richard L. Harvey, Brett Kissela, et al.. (2015). Epidural Electrical Stimulation for Stroke Rehabilitation. Neurorehabilitation and neural repair. 30(2). 107–119. 128 indexed citations
10.
Clark, Shannon W., Gaëlle E. Doucet, Lalit Venkatesan, et al.. (2015). 187 Comparison of Neural Activation in Chronic Migraine Patients During Optimal and Suboptimal Occipital Nerve Stimulation. Neurosurgery. 62(Supplement 1). 228–228. 1 indexed citations
11.
Venkatesan, Lalit & Steven M. Barlow. (2014). Characterization of sex-based differences in the mechanical properties of human finger glabrous tissue using a fiberoptic sensor. Journal of Biomechanics. 47(10). 2257–2262. 2 indexed citations
12.
Venkatesan, Lalit, et al.. (2014). Integrated approach for studying adaptation mechanisms in the human somatosensory cortical network. Experimental Brain Research. 232(11). 3545–3554. 9 indexed citations
13.
Venkatesan, Lalit, et al.. (2014). Age- and sex-related changes in vibrotactile sensitivity of hand and face in neurotypical adults. Somatosensory & Motor Research. 32(1). 44–50. 34 indexed citations
14.
Sharan, Ashwini, Billy Huh, Samer Narouze, et al.. (2014). Analysis of Adverse Events in the Management of Chronic Migraine by Peripheral Nerve Stimulation. Neuromodulation Technology at the Neural Interface. 18(4). 305–312. 29 indexed citations
15.
16.
Barlow, Steven M., et al.. (2012). Frequency Modulation and Spatiotemporal Stability of the sCPG in Preterm Infants with RDS. International Journal of Pediatrics. 2012. 1–9. 18 indexed citations
17.
Venkatesan, Lalit, et al.. (2010). TAC-Cell inputs to human hand and lip induce short-term adaptation of the primary somatosensory cortex. Brain Research. 1348. 63–70. 8 indexed citations
18.
Popescu, Mihai, et al.. (2010). Cutaneous stimulation of the digits and lips evokes responses with different adaptation patterns in primary somatosensory cortex. NeuroImage. 52(4). 1477–1486. 8 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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