Manish N. Shah

2.0k total citations
61 papers, 1.2k citations indexed

About

Manish N. Shah is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Manish N. Shah has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 16 papers in Surgery and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Manish N. Shah's work include Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Cerebrospinal fluid and hydrocephalus (11 papers) and Epilepsy research and treatment (8 papers). Manish N. Shah is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Cerebrospinal fluid and hydrocephalus (11 papers) and Epilepsy research and treatment (8 papers). Manish N. Shah collaborates with scholars based in United States, India and Canada. Manish N. Shah's co-authors include Ralph G. Dacey, Gregory J. Zipfel, Colin P. Derdeyn, Matthew D. Smyth, Justin M. Brown, Susan E. Mackinnon, Robert H. Austin, Daniel Refai, Michael Berger and David D. Limbrick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and American Journal of Obstetrics and Gynecology.

In The Last Decade

Manish N. Shah

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish N. Shah United States 18 359 314 176 166 163 61 1.2k
Matthew A. Kirkman United Kingdom 23 479 1.3× 444 1.4× 302 1.7× 73 0.4× 50 0.3× 72 1.7k
Antti Brander Finland 20 369 1.0× 539 1.7× 360 2.0× 108 0.7× 106 0.7× 42 1.6k
Robert P. Naftel United States 24 460 1.3× 595 1.9× 88 0.5× 46 0.3× 135 0.8× 87 1.8k
Bruno P. Soares United States 21 569 1.6× 220 0.7× 459 2.6× 41 0.2× 52 0.3× 88 1.7k
Christoph Meier Switzerland 24 86 0.2× 932 3.0× 547 3.1× 111 0.7× 77 0.5× 78 1.6k
Catherine A. Mazzola United States 19 267 0.7× 286 0.9× 128 0.7× 140 0.8× 30 0.2× 67 1.1k
Melissa A. LoPresti United States 14 303 0.8× 156 0.5× 140 0.8× 49 0.3× 37 0.2× 91 934
Christian A. Bowers United States 25 752 2.1× 992 3.2× 415 2.4× 81 0.5× 22 0.1× 204 2.2k
Brett E. Youngerman United States 20 308 0.9× 245 0.8× 223 1.3× 11 0.1× 270 1.7× 53 1.2k
Ian Pople United Kingdom 25 666 1.9× 387 1.2× 166 0.9× 81 0.5× 36 0.2× 62 2.0k

Countries citing papers authored by Manish N. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Manish N. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish N. Shah. 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 Manish N. Shah. The network helps show where Manish N. Shah may publish in the future.

Co-authorship network of co-authors of Manish N. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Manish N. Shah. A scholar is included among the top collaborators of Manish N. Shah 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 Manish N. Shah. Manish N. Shah 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.
Juranek, Jenifer, et al.. (2025). Insights into the Role of the Glymphatic System in the Pathogenesis of Post-hemorrhagic Hydrocephalus. Molecular Neurobiology. 62(5). 6537–6543. 1 indexed citations
3.
Chary, Anita, et al.. (2024). Older Adults’ Experiences of Emergency Department Admission Decisions: A Qualitative Study in a Public Safety Net Hospital. Journal of General Internal Medicine. 40(7). 1567–1575. 2 indexed citations
4.
Cárdenas-Turanzas, Marylou, et al.. (2024). Risk Factors for Blunt Cerebrovascular Injury in a Cohort of Pediatric Patients With Cervical Seat Belt Sign. Pediatric Emergency Care. 40(5). 359–363.
6.
Funke, Michael, John C. Mosher, Gretchen Von Allmen, et al.. (2023). Comparison of 2 Robotic Systems for Pediatric Stereoelectroencephalography Implantation. World Neurosurgery. 182. e486–e492. 3 indexed citations
7.
Zhu, Banghe, et al.. (2023). Near-Infrared Fluorescence Tomography and Imaging of Ventricular Cerebrospinal Fluid Flow and Extracranial Outflow in Non-Human Primates. IEEE Transactions on Medical Imaging. 42(12). 3555–3565. 3 indexed citations
8.
Venkataraman, Sidish S., Joseph P. Herbert, Vijay M. Ravindra, et al.. (2022). Multi-Center Validation of the McGovern Pediatric Blunt Cerebrovascular Injury Screening Score. Journal of Neurotrauma. 40(13-14). 1451–1458. 4 indexed citations
9.
Kamali, Arash, Ian J. Butler, Clark Sitton, et al.. (2022). Introducing the “Temporal Thumb Sign” in Pediatric Patients With New-Onset Idiopathic Seizures With and Without Elevated Cerebrospinal Fluid Opening Pressure. Pediatric Neurology. 140. 52–58. 2 indexed citations
10.
Nguyen, Phuong D., et al.. (2021). Distraction osteogenesis with temporal bone remodeling for unicoronal craniosynostosis. Neurosurgical Focus Video. 4(2). V15–V15. 2 indexed citations
11.
Smyth, Matthew D., Liang Zhu, Anish Mitra, et al.. (2021). A comparison of machine learning classifiers for pediatric epilepsy using resting‑state functional MRI latency data. Biomedical Reports. 15(3). 77–77. 10 indexed citations
12.
Funke, Michael, Manish N. Shah, Nitin Tandon, et al.. (2021). Indications for Inpatient Magnetoencephalography in Children – An Institution’s Experience. Frontiers in Human Neuroscience. 15. 667777–667777. 1 indexed citations
13.
Zhu, Banghe, et al.. (2020). Cap-Based Transcranial Optical Tomography in an Awake Infant. IEEE Transactions on Medical Imaging. 39(11). 3300–3308. 5 indexed citations
14.
Cox, Charles S., et al.. (2020). Outcomes and prognostic factors of pediatric patients with a Glasgow Coma Score of 3 after blunt head trauma. Child s Nervous System. 36(11). 2657–2665. 7 indexed citations
15.
Mann, Lovepreet K., Stephen A. Fletcher, Jeannine Garnett, et al.. (2019). Suture techniques and patch materials using an in-vitro model for watertight closure of in-utero spina bifida repair. Journal of Pediatric Surgery. 55(4). 726–731. 8 indexed citations
16.
Funke, Michael, et al.. (2018). Magnetoencephalographic Recordings in Infants: A Retrospective Analysis of Seizure-Focus Yield and Postsurgical Outcomes. Journal of Clinical Neurophysiology. 35(6). 454–462. 10 indexed citations
17.
Shah, Manish N., et al.. (2018). Role of resting state MRI temporal latency in refractory pediatric extratemporal epilepsy lateralization. Journal of Magnetic Resonance Imaging. 49(5). 1347–1355. 6 indexed citations
18.
Fletcher, Stephen A., et al.. (2017). Survey of Techniques Utilized to Access Ventricular Shunts and Reservoirs. Pediatric Neurosurgery. 52(4). 250–256. 2 indexed citations
19.
Shah, Manish N., et al.. (2015). Advanced Imaging of Chiari 1 Malformations. Neurosurgery Clinics of North America. 26(4). 519–526. 15 indexed citations
20.
Shah, Manish N., et al.. (2011). Endoscopically assisted versus open repair of sagittal craniosynostosis: the St. Louis Children's Hospital experience. Journal of Neurosurgery Pediatrics. 8(2). 165–170. 122 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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