Darren R. Lebl

4.2k total citations
137 papers, 3.0k citations indexed

About

Darren R. Lebl is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Darren R. Lebl has authored 137 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Surgery, 104 papers in Pathology and Forensic Medicine and 29 papers in Pharmacology. Recurrent topics in Darren R. Lebl's work include Spine and Intervertebral Disc Pathology (104 papers), Spinal Fractures and Fixation Techniques (59 papers) and Cervical and Thoracic Myelopathy (28 papers). Darren R. Lebl is often cited by papers focused on Spine and Intervertebral Disc Pathology (104 papers), Spinal Fractures and Fixation Techniques (59 papers) and Cervical and Thoracic Myelopathy (28 papers). Darren R. Lebl collaborates with scholars based in United States, Japan and Germany. Darren R. Lebl's co-authors include Frank P. Cammisa, Alexander P. Hughes, Andrew A. Sama, Federico P. Girardi, Theo Kofidis, Robert C. Robbins, Masashi Tanaka, Christopher M. Bono, Jorg L. de Bruin and Alexander Aichmair and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Darren R. Lebl

126 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren R. Lebl United States 31 2.4k 1.6k 512 508 439 137 3.0k
Yu Seun Kim South Korea 29 2.4k 1.0× 2.0k 1.3× 223 0.4× 241 0.5× 320 0.7× 177 3.3k
Yoon Ha South Korea 31 1.9k 0.8× 1.9k 1.2× 541 1.1× 191 0.4× 322 0.7× 170 3.6k
Takashi Asazuma Japan 38 2.8k 1.2× 2.3k 1.5× 74 0.1× 625 1.2× 546 1.2× 99 3.6k
Peter G. Whang United States 29 2.1k 0.9× 1.6k 1.0× 156 0.3× 691 1.4× 546 1.2× 101 3.0k
Do Heum Yoon South Korea 33 2.4k 1.0× 2.3k 1.5× 317 0.6× 362 0.7× 317 0.7× 160 3.7k
Bernard A. Rawlins United States 25 1.4k 0.6× 945 0.6× 241 0.5× 371 0.7× 437 1.0× 51 2.1k
Norimitsu Wakao Japan 28 1.7k 0.7× 1.0k 0.7× 169 0.3× 256 0.5× 184 0.4× 96 2.5k
Marios G. Lykissas Greece 34 2.1k 0.9× 417 0.3× 159 0.3× 135 0.3× 366 0.8× 106 2.9k
Sung Uk Kuh South Korea 25 1.9k 0.8× 1.5k 1.0× 116 0.2× 324 0.6× 428 1.0× 123 2.5k
Akinobu Suzuki Japan 30 1.8k 0.8× 1.5k 0.9× 222 0.4× 326 0.6× 336 0.8× 151 2.5k

Countries citing papers authored by Darren R. Lebl

Since Specialization
Citations

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

Fields of papers citing papers by Darren R. Lebl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren R. Lebl. 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 Darren R. Lebl. The network helps show where Darren R. Lebl may publish in the future.

Co-authorship network of co-authors of Darren R. Lebl

This figure shows the co-authorship network connecting the top 25 collaborators of Darren R. Lebl. A scholar is included among the top collaborators of Darren R. Lebl 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 Darren R. Lebl. Darren R. Lebl 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.
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Lebl, Darren R., et al.. (2025). Identification of Potential Pitfalls and Complication Avoidance in Robotic-Assisted Spine Surgery. Journal of the American Academy of Orthopaedic Surgeons. 33(23). e1402–e1413.
3.
Camino-Willhuber, Gastón, Lukas Schönnagel, Erika Chiapparelli, et al.. (2024). The Modified 5-Factor Frailty Score May Not be Useful in Predicting Complications and Unplanned Readmission After 1-Level or 2-Level Anterior Cervical Decompression and Fusion. HSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery. 21(1). 49–54.
4.
Mancuso, Carol A., Roland Duculan, Frank P. Cammisa, et al.. (2024). Associations between surgeons’ preoperative expectations of lumbar surgery and patient-reported 2-year outcomes. European Spine Journal. 33(9). 3381–3387.
5.
Kazarian, Gregory S., Michael E. Steinhaus, Sravisht Iyer, et al.. (2024). Baseline Neck Disability Index and Patient-Reported Outcomes Measurement Information System Physical Function Predict Postoperative Return to Normal in Cervical Spine Surgery. The International Journal of Spine Surgery. 18(6). 653–659.
6.
Burkhard, Marco D., et al.. (2024). Minimally invasive robotic-assisted lumbar laminectomy. Bone & Joint Open. 5(9). 809–817. 2 indexed citations
7.
Mancuso, Carol A., Roland Duculan, Frank P. Cammisa, et al.. (2024). The Influence of Previous Joint Arthroplasty on Fulfillment of Patients' Expectations of Subsequent Lumbar Surgery. Journal of the American Academy of Orthopaedic Surgeons. 33(2). e93–e101. 1 indexed citations
8.
Lebl, Darren R., et al.. (2023). Augmented reality for minimally invasive spinal surgery. Frontiers in Surgery. 9. 1086988–1086988. 19 indexed citations
9.
Camino-Willhuber, Gastón, Lukas Schönnagel, Henryk Haffer, et al.. (2023). Association of Frailty and Preoperative Hypoalbuminemia with the Risk of Complications, Readmission, and Mortality After Spine Surgery. World Neurosurgery. 174. e152–e158. 15 indexed citations
10.
Tan, Ek T., et al.. (2023). Postoperative Lumbar Fusion Bone Morphogenic Protein–Related Epidural Cyst Formation. American Journal of Neuroradiology. 44(3). 351–355. 4 indexed citations
11.
12.
Lebl, Darren R., et al.. (2023). A neural network model for detection and classification of lumbar spinal stenosis on MRI. European Spine Journal. 33(3). 941–948. 12 indexed citations
13.
Camino-Willhuber, Gastón, Henryk Haffer, Maximilian Muellner, et al.. (2023). Frailty Stratification Using the Modified 5-Item Frailty Index: Significant Variation within Frailty Patients in Spine Surgery. World Neurosurgery. 177. e197–e203. 5 indexed citations
14.
García, Eugene E., et al.. (2023). An Artificial Intelligence-Based Support Tool for Lumbar Spinal Stenosis Diagnosis from Self-Reported History Questionnaire. World Neurosurgery. 181. e953–e962. 3 indexed citations
15.
Chazen, J. Levi, et al.. (2022). CT-Guided C2 Dorsal Root Ganglion Radiofrequency Ablation for the Treatment of Cervicogenic Headache: Case Series and Clinical Outcomes. American Journal of Neuroradiology. 43(4). 575–578. 5 indexed citations
16.
Lovecchio, Francis, Bryan Ang, Philip K. Louie, et al.. (2022). Bone Density Distribution in the Cervical Spine. Global Spine Journal. 14(1). 169–176. 9 indexed citations
17.
Mancuso, Carol A., Roland Duculan, Frank P. Cammisa, et al.. (2017). Successful lumbar surgery results in improved psychological well-being: a longitudinal assessment of depressive and anxiety symptoms. The Spine Journal. 18(4). 606–613. 17 indexed citations
18.
Mancuso, Carol A., Roland Duculan, Frank P. Cammisa, et al.. (2016). Fulfillment of patients' expectations of lumbar and cervical spine surgery. The Spine Journal. 16(10). 1167–1174. 58 indexed citations
19.
Kueper, Janina, et al.. (2015). Posterior reversible encephalopathy syndrome: temporary visual loss after spinal deformity surgery.. PubMed. 44(11). E465–8. 5 indexed citations
20.
Lykissas, Marios G., Woojin Cho, Alexander Aichmair, et al.. (2013). Is There Any Relation Between the Amount of Curve Correction and Postoperative Neurological Deficit or Pain in Patients Undergoing Standalone Lateral Lumbar Interbody Fusion?. Spine. 38(19). 1656–1662. 13 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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