Ashwini Sharan

17.8k total citations
314 papers, 11.0k citations indexed

About

Ashwini Sharan is a scholar working on Surgery, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Ashwini Sharan has authored 314 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Surgery, 87 papers in Cognitive Neuroscience and 83 papers in Pathology and Forensic Medicine. Recurrent topics in Ashwini Sharan's work include Spine and Intervertebral Disc Pathology (65 papers), Epilepsy research and treatment (60 papers) and Neurological disorders and treatments (47 papers). Ashwini Sharan is often cited by papers focused on Spine and Intervertebral Disc Pathology (65 papers), Epilepsy research and treatment (60 papers) and Neurological disorders and treatments (47 papers). Ashwini Sharan collaborates with scholars based in United States, United Kingdom and Canada. Ashwini Sharan's co-authors include Michael R. Sperling, James S. Harrop, Mitchell Maltenfort, Alexander R. Vaccaro, John K. Ratliff, Chengyuan Wu, Ali R. Rezai, Sanjay Yadla, Joseph I. Tracy and Gregory J. Przybylski and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Ashwini Sharan

304 papers receiving 10.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ashwini Sharan 3.2k 3.2k 2.5k 2.5k 2.4k 314 11.0k
David J. Mikulis 4.7k 1.5× 1.9k 0.6× 1.5k 0.6× 1.6k 0.6× 2.0k 0.8× 354 18.0k
Armin Curt 1.5k 0.4× 4.7k 1.5× 9.4k 3.8× 2.0k 0.8× 2.4k 1.0× 371 15.4k
Chun Kee Chung 2.2k 0.7× 3.6k 1.1× 2.7k 1.1× 1.8k 0.7× 3.0k 1.3× 509 10.7k
Kim J. Burchiel 911 0.3× 2.0k 0.6× 3.8k 1.5× 2.8k 1.1× 1.7k 0.7× 255 12.1k
Richard D. Penn 2.8k 0.9× 1.3k 0.4× 718 0.3× 4.3k 1.7× 1.7k 0.7× 143 10.6k
Howard M. Eisenberg 2.1k 0.6× 3.1k 1.0× 2.5k 1.0× 3.0k 1.2× 1.1k 0.4× 192 19.5k
Toshiki Yoshimine 2.0k 0.6× 1.2k 0.4× 883 0.4× 1.9k 0.8× 555 0.2× 505 10.1k
G. Cruccu 3.2k 1.0× 1.6k 0.5× 5.6k 2.3× 2.0k 0.8× 3.3k 1.4× 281 21.1k
Karen D. Davis 8.3k 2.6× 710 0.2× 1.2k 0.5× 2.2k 0.9× 3.0k 1.3× 242 18.0k
François Mauguı̀ere 9.3k 2.9× 1.0k 0.3× 948 0.4× 3.3k 1.3× 4.3k 1.8× 347 17.9k

Countries citing papers authored by Ashwini Sharan

Since Specialization
Citations

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

Fields of papers citing papers by Ashwini Sharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwini Sharan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwini Sharan. A scholar is included among the top collaborators of Ashwini Sharan 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 Ashwini Sharan. Ashwini Sharan 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.
Momin, Arbaz, Ashwini Sharan, Srinivas Prasad, et al.. (2025). Experience Matters: An Application of the Operative Value Index for Lumbar Fusions. Neurosurgical Review. 48(1). 576–576.
2.
3.
Weiss, Shennan A., John M. Stern, Itzhak Fried, et al.. (2023). Stimulation better targets fast‐ripple generating networks in super responders to the responsive neurostimulator system. Epilepsia. 64(5). e48–e55. 5 indexed citations
5.
Weiss, Shennan A., Itzhak Fried, Chengyuan Wu, et al.. (2023). Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction. Scientific Reports. 13(1). 367–367. 9 indexed citations
6.
Weiss, Shennan A., Iren Orosz, Richard Gorniak, et al.. (2022). Graph theoretical measures of fast ripples support the epileptic network hypothesis. Brain Communications. 4(3). fcac101–fcac101. 16 indexed citations
7.
Hines, Kevin, et al.. (2022). Exoscope improves visualization and extent of hippocampal resection in temporal lobectomy. Acta Neurochirurgica. 165(1). 259–263. 1 indexed citations
8.
Hines, Kevin, Daniel Franco, Adam Leibold, et al.. (2022). Patient-Reported Outcomes for Lumbar Fusion in Patients with Previously Treated Cervical Myelopathy. World Neurosurgery. 161. e395–e400.
9.
10.
Solomon, Ethan A., Michael R. Sperling, Ashwini Sharan, et al.. (2021). Theta-burst stimulation entrains frequency-specific oscillatory responses. Brain stimulation. 14(5). 1271–1284. 31 indexed citations
11.
Hines, Kevin, et al.. (2021). Single-Center Retrospective Analysis of Device-Related Complications Related to Dorsal Root Ganglion Stimulation for Pain Relief in 31 Patients. Neuromodulation Technology at the Neural Interface. 25(7). 1040–1044. 5 indexed citations
12.
Ghosh, Ritam, Lohit Velagapudi, Kevin Hines, et al.. (2021). Operative versus Nonoperative Management of Idiopathic Spinal Cord Herniation: Effect on Symptomatology and Disease Progression. World Neurosurgery. 152. e149–e154. 1 indexed citations
13.
Hines, Kevin, Daniel Franco, Srinivas Prasad, et al.. (2020). Combined Anterior Osteophytectomy and Cricopharyngeal Myotomy for Treatment of DISH-Associated Dysphagia. Global Spine Journal. 12(5). 877–882. 5 indexed citations
14.
Hines, Kevin, Geoffrey Stricsek, Aria Mahtabfar, et al.. (2020). The Role of Cricopharyngeal Myotomy After Anterior Cervical Decompression and Fusion Operations. World Neurosurgery. 137. 146–148. 1 indexed citations
15.
Jermakowicz, Walter J., Chengyuan Wu, Elliot G. Neal, et al.. (2019). Clinically Significant Visual Deficits after Laser Interstitial Thermal Therapy for Mesiotemporal Epilepsy. Stereotactic and Functional Neurosurgery. 97(5-6). 347–355. 10 indexed citations
16.
Bydon, Mohamad, Clemens M. Schirmer, Eric K. Oermann, et al.. (2019). Big Data Defined: A Practical Review for Neurosurgeons. World Neurosurgery. 133. e842–e849. 17 indexed citations
17.
Sperling, Michael R., et al.. (2018). Increased neuronal synchrony prepares mesial temporal networks for seizures of neocortical origin. Epilepsia. 59(3). 636–649. 15 indexed citations
18.
Sperling, Michael R., et al.. (2018). Enhanced co-registration methods to improve intracranial electrode contact localization. NeuroImage Clinical. 20. 398–406. 12 indexed citations
19.
He, Xiaosong, Gaëlle E. Doucet, Dorian Pustina, et al.. (2017). Presurgical thalamic “hubness” predicts surgical outcome in temporal lobe epilepsy. Neurology. 88(24). 2285–2293. 132 indexed citations
20.
Silberstein, Stephen D., David W. Dodick, Joel R. Saper, et al.. (2012). Safety and efficacy of peripheral nerve stimulation of the occipital nerves for the management of chronic migraine: Results from a randomized, multicenter, double-blinded, controlled study. Cephalalgia. 32(16). 1165–1179. 199 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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