Timur Urakov

783 total citations
40 papers, 485 citations indexed

About

Timur Urakov is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Timur Urakov has authored 40 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 16 papers in Pathology and Forensic Medicine and 11 papers in Biomedical Engineering. Recurrent topics in Timur Urakov's work include Spinal Fractures and Fixation Techniques (18 papers), Spine and Intervertebral Disc Pathology (14 papers) and Medical Imaging and Analysis (7 papers). Timur Urakov is often cited by papers focused on Spinal Fractures and Fixation Techniques (18 papers), Spine and Intervertebral Disc Pathology (14 papers) and Medical Imaging and Analysis (7 papers). Timur Urakov collaborates with scholars based in United States, Grenada and Spain. Timur Urakov's co-authors include Michael Y. Wang, Allan D. Levi, S. Shelby Burks, Glen Manzano, G. Damian Brusko, John Paul G. Kolcun, Richard H. Epstein, Karthik Madhavan, Mark S. Nash and Yaakov A. Levine and has published in prestigious journals such as Spine, CHEST Journal and IEEE Transactions on Medical Imaging.

In The Last Decade

Timur Urakov

35 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timur Urakov United States 11 362 173 128 76 60 40 485
Darlene A. Lobel United States 17 305 0.8× 98 0.6× 207 1.6× 39 0.5× 54 0.9× 31 701
James J. Zhou United States 13 253 0.7× 140 0.8× 88 0.7× 33 0.4× 6 0.1× 53 379
Alain Delbos France 13 533 1.5× 65 0.4× 73 0.6× 139 1.8× 36 0.6× 29 684
Akihiro Suzuki Japan 14 182 0.5× 69 0.4× 56 0.4× 192 2.5× 35 0.6× 63 575
C. Garreau de Loubresse France 15 523 1.4× 178 1.0× 50 0.4× 9 0.1× 11 0.2× 38 652
Laura Simoncini Italy 10 112 0.3× 186 1.1× 316 2.5× 10 0.1× 57 0.9× 21 806
Matthieu Vassal France 6 233 0.6× 170 1.0× 79 0.6× 10 0.1× 5 0.1× 11 379
Jonathan Pace United States 13 144 0.4× 47 0.3× 45 0.4× 7 0.1× 27 0.5× 37 437
Christian Kowalski Germany 10 115 0.3× 79 0.5× 76 0.6× 48 0.6× 11 0.2× 36 405
Philippe Mahaudens Belgium 14 495 1.4× 154 0.9× 163 1.3× 12 0.2× 6 0.1× 51 717

Countries citing papers authored by Timur Urakov

Since Specialization
Citations

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

Fields of papers citing papers by Timur Urakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timur Urakov

This figure shows the co-authorship network connecting the top 25 collaborators of Timur Urakov. A scholar is included among the top collaborators of Timur Urakov 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 Timur Urakov. Timur Urakov 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.
Urakov, Timur, et al.. (2025). Attention-Based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine From MR Images. IEEE Transactions on Medical Imaging. 44(12). 5258–5277.
3.
Urakov, Timur, et al.. (2024). SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI. Computers in Biology and Medicine. 179. 108795–108795. 6 indexed citations
4.
Shah, Sumedh S., et al.. (2023). Robotic-assisted single-position lateral for multilevel circumferential lumbar interbody fusion: how I do it. Acta Neurochirurgica. 165(12). 3963–3967. 1 indexed citations
5.
Elarjani, Turki, et al.. (2021). A single institution experience with proximal junctional kyphosis in the context of existing classification schemes – Systematic review. Journal of Clinical Neuroscience. 88. 150–156. 1 indexed citations
6.
Lu, Victor M., G. Damian Brusko, & Timur Urakov. (2021). Defining the Time Benefit of Awake Versus General Anesthesia for Single-Level Lumbar Spine Surgery. World Neurosurgery. 158. e793–e798. 5 indexed citations
7.
Basil, Gregory W., Evan Luther, Joshua D. Burks, et al.. (2021). The Focused Neurosurgical Examination During Telehealth Visits: Guidelines During the COVID-19 Pandemic and Beyond. Cureus. 13(2). e13503–e13503. 9 indexed citations
8.
Elarjani, Turki, et al.. (2021). Quantifying Bone Quality Using Computed Tomography Hounsfield Units in the Mid-sagittal View of the Lumbar Spine. World Neurosurgery. 151. e418–e425. 11 indexed citations
9.
Urakov, Timur, et al.. (2020). Spine surgery is kyphosing to spine surgeon. Acta Neurochirurgica. 162(4). 967–971. 3 indexed citations
10.
Basil, Gregory W., Daniel G. Eichberg, Timur Urakov, et al.. (2020). Differences Between Neurosurgical Subspecialties in Telehealth Adoption. World Neurosurgery. 146. e323–e327. 6 indexed citations
11.
Bhatia, Nitin, Timur Urakov, Jordan A. Gruskay, et al.. (2019). Establishing validity of the fundamentals of spinal surgery (FOSS) simulator as a teaching tool for orthopedic and neurosurgical trainees. The Spine Journal. 20(4). 580–589. 5 indexed citations
12.
Levine, Yaakov A., et al.. (2019). Vagus Nerve Stimulation in Rodent Models: An Overview of Technical Considerations. Frontiers in Neuroscience. 13. 911–911. 42 indexed citations
13.
Urakov, Timur, Michael Y. Wang, & Allan D. Levi. (2019). Workflow Caveats in Augmented Reality–Assisted Pedicle Instrumentation: Cadaver Lab. World Neurosurgery. 126. e1449–e1455. 46 indexed citations
14.
Brusko, G. Damian, John Paul G. Kolcun, Allan D. Levi, et al.. (2019). Reductions in length of stay, narcotics use, and pain following implementation of an enhanced recovery after surgery program for 1- to 3-level lumbar fusion surgery. Neurosurgical FOCUS. 46(4). E4–E4. 88 indexed citations
15.
Basil, Gregory W., et al.. (2018). Jugular Tubercle Meningioma with Hemorrhagic Conversion Mimicking a Ruptured Thrombosed Giant Vertebrobasilar Aneurysm. World Neurosurgery. 119. 108–112. 6 indexed citations
16.
Chen, Stephanie, Timur Urakov, & Jacques J. Morcos. (2017). Jugular Foramen Plasmacytoma Mimicking Paraganglioma. Journal of Neurological Surgery Part B Skull Base. 78(S 01). S1–S156. 1 indexed citations
17.
Urakov, Timur, et al.. (2017). Initial academic experience and learning curve with robotic spine instrumentation. Neurosurgical FOCUS. 42(5). E4–E4. 75 indexed citations
18.
Urakov, Timur, et al.. (2017). Vertebral Artery Dissection in a Bouncy Castle Injury: Case Report and Literature Review. Pediatric Neurosurgery. 52(4). 234–239. 2 indexed citations
19.
Urakov, Timur, et al.. (2016). Management of Foramen Magnum Meningioma During Pregnancy: Literature Review and Case Report. World Neurosurgery. 97. 752.e15–752.e18. 8 indexed citations
20.
Urakov, Timur, et al.. (2016). Percutaneous Drainage of Chronic Destructive Lumbar Osteomyelitis Abscess Via the Use of Bilateral Transpedicular Trocar Access. World Neurosurgery. 92. 583.e1–583.e5. 1 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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