Jai Prashanth Rao

2.0k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Jai Prashanth Rao is a scholar working on Biomedical Engineering, Neurology and Epidemiology. According to data from OpenAlex, Jai Prashanth Rao has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Neurology and 4 papers in Epidemiology. Recurrent topics in Jai Prashanth Rao's work include Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jai Prashanth Rao is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Jai Prashanth Rao collaborates with scholars based in Singapore, United Kingdom and France. Jai Prashanth Rao's co-authors include Justin Ker, Lipo Wang, C. C. Tchoyoson Lim, Yeqi Bai, Hwei Yee Lee, Satya P. Singh, Nicolas Kon Kam King, Wai Hoe Ng, Ady Thien and Julian Xinguang Han and has published in prestigious journals such as PLoS ONE, Journal of neurosurgery and IEEE Access.

In The Last Decade

Jai Prashanth Rao

18 papers receiving 1.3k citations

Hit Papers

Deep Learning Applications in Medical Image Analysis 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jai Prashanth Rao Singapore 8 555 515 356 219 190 19 1.3k
Justin Ker Singapore 5 537 1.0× 513 1.0× 356 1.0× 214 1.0× 176 0.9× 6 1.3k
Ahmed Elazab China 22 593 1.1× 604 1.2× 427 1.2× 392 1.8× 145 0.8× 92 1.7k
Sen Yang China 16 493 0.9× 657 1.3× 371 1.0× 86 0.4× 76 0.4× 57 1.2k
Muhammad Haris Khan Pakistan 16 354 0.6× 533 1.0× 796 2.2× 144 0.7× 167 0.9× 71 1.5k
María A. Zuluaga France 19 705 1.3× 988 1.9× 818 2.3× 224 1.0× 290 1.5× 76 2.4k
Carmelo Militello Italy 27 417 0.8× 326 0.6× 499 1.4× 152 0.7× 250 1.3× 126 1.9k
Qianni Zhang United Kingdom 18 418 0.8× 447 0.9× 748 2.1× 286 1.3× 161 0.8× 97 1.5k
Premal A. Patel United Kingdom 13 407 0.7× 368 0.7× 511 1.4× 160 0.7× 150 0.8× 57 1.5k
S. M. Reza Soroushmehr United States 20 463 0.8× 505 1.0× 572 1.6× 69 0.3× 252 1.3× 95 1.8k
Mohammed A. Al‐masni South Korea 17 813 1.5× 1.2k 2.3× 443 1.2× 292 1.3× 196 1.0× 51 2.0k

Countries citing papers authored by Jai Prashanth Rao

Since Specialization
Citations

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

Fields of papers citing papers by Jai Prashanth Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai Prashanth Rao. 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 Jai Prashanth Rao. The network helps show where Jai Prashanth Rao may publish in the future.

Co-authorship network of co-authors of Jai Prashanth Rao

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

All Works

19 of 19 papers shown
1.
Schouman, Thomas, Hervé Bénateau, N. Clerc, et al.. (2025). Patient‐Specific Cranio‐Facial Porous Titanium Implants: A Multicentric Cohort Study. Head & Neck. 48(3). 747–757.
2.
Lo, Yu Tung, Mervyn Jun Rui Lim, Shilin Wang, et al.. (2024). Neural Interface-Based Motor Neuroprosthesis in Poststroke Upper Limb Neurorehabilitation: An Individual Patient Data Meta-analysis. Archives of Physical Medicine and Rehabilitation. 105(12). 2336–2349. 8 indexed citations
3.
Soh, Reuben Chee Cheong, et al.. (2024). Exploring student acceptance of learning technologies in anatomy education: A mixed‐method approach. Clinical Anatomy. 38(3). 334–346. 1 indexed citations
4.
Lo, Yu Tung, Jordan Lam, Mervyn Jun Rui Lim, et al.. (2024). Recording of single-unit activities with flexible micro-electrocorticographic array in rats for decoding of whole-body navigation. Journal of Neural Engineering. 21(4). 46037–46037. 1 indexed citations
5.
Xin, Xiaohui, Jai Prashanth Rao, Nigel CK Tan, et al.. (2023). Measuring Interprofessional Collaboration’s Impact on Healthcare Services Using the Quadruple Aim Framework: A Protocol Paper. International Journal of Environmental Research and Public Health. 20(9). 5704–5704. 1 indexed citations
6.
Tan, Kevin, Jai Prashanth Rao, Wee Shiong Lim, et al.. (2022). Viewing interprofessional collaboration through the lens of networked ecological systems theory. Journal of Interprofessional Care. 36(6). 777–785. 4 indexed citations
8.
Chua, Karen Sui Geok, et al.. (2021). 3D-printed external cranial protection following decompressive craniectomy after brain injury: A pilot feasibility cohort study. PLoS ONE. 16(10). e0258296–e0258296. 3 indexed citations
9.
Fan, Bingwen Eugene, Xin Rong Lim, Tian Ming Tu, et al.. (2021). Cerebral venous thrombosis post BNT162b2 mRNA SARS‐CoV‐2 vaccination: A black swan event. American Journal of Hematology. 96(9). E357–E361. 37 indexed citations
10.
Ker, Justin, Yeqi Bai, Hwei Yee Lee, Jai Prashanth Rao, & Lipo Wang. (2019). Automated brain histology classification using machine learning. Journal of Clinical Neuroscience. 66. 239–245. 118 indexed citations
11.
Thien, Ady, Julian Xinguang Han, Min Wei Chen, et al.. (2019). The National Neuroscience Institute External Ventricular Drain Study: A Pragmatic Multisite Risk-Stratification Pathway to Reduce Ventriculostomy-Related Infection. World Neurosurgery. 135. e126–e136. 7 indexed citations
12.
Ker, Justin, Satya P. Singh, Yeqi Bai, et al.. (2019). Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans. Sensors. 19(9). 2167–2167. 131 indexed citations
13.
Thien, Ady, et al.. (2017). Investigation of the usefulness of fluorescein sodium fluorescence in stereotactic brain biopsy. Acta Neurochirurgica. 160(2). 317–324. 27 indexed citations
14.
Allen, John Carson, et al.. (2017). Characterization of Pyramidal Tract Shift in High-Grade Glioma Resection. World Neurosurgery. 107. 612–622. 2 indexed citations
15.
Ker, Justin, Lipo Wang, Jai Prashanth Rao, & C. C. Tchoyoson Lim. (2017). Deep Learning Applications in Medical Image Analysis. IEEE Access. 6. 9375–9389. 941 indexed citations breakdown →
16.
Thien, Ady, Jai Prashanth Rao, Wai Hoe Ng, & Nicolas Kon Kam King. (2016). The Fluoropen: a simple low-cost device to detect intraoperative fluorescein fluorescence in stereotactic needle biopsy of brain tumors. Acta Neurochirurgica. 159(2). 371–375. 22 indexed citations
18.
Lee, Lester, Nicolas Kon Kam King, Dinesh Kumar, et al.. (2014). Use of programmable versus nonprogrammable shunts in the management of hydrocephalus secondary to aneurysmal subarachnoid hemorrhage: a retrospective study with cost-benefit analysis. Journal of neurosurgery. 121(4). 899–903. 29 indexed citations
19.
Park, Mi Kyoung, et al.. (2013). A pressure/oxygen/temperature sensing SoC for multimodality intracranial neuromonitoring. 89–92. 4 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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