Sheeraz A. Qureshi

8.2k total citations
347 papers, 5.5k citations indexed

About

Sheeraz A. Qureshi is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Sheeraz A. Qureshi has authored 347 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 299 papers in Surgery, 268 papers in Pathology and Forensic Medicine and 72 papers in Pharmacology. Recurrent topics in Sheeraz A. Qureshi's work include Spine and Intervertebral Disc Pathology (265 papers), Spinal Fractures and Fixation Techniques (177 papers) and Cervical and Thoracic Myelopathy (98 papers). Sheeraz A. Qureshi is often cited by papers focused on Spine and Intervertebral Disc Pathology (265 papers), Spinal Fractures and Fixation Techniques (177 papers) and Cervical and Thoracic Myelopathy (98 papers). Sheeraz A. Qureshi collaborates with scholars based in United States, Qatar and Japan. Sheeraz A. Qureshi's co-authors include Andrew C. Hecht, Steven J. McAnany, Avani S. Vaishnav, Samuel K. Cho, Catherine Himo Gang, James C. Iatridis, Sohrab Virk, Todd J. Albert, Sravisht Iyer and Branko Skovrlj and has published in prestigious journals such as PLoS ONE, Biomaterials and PEDIATRICS.

In The Last Decade

Sheeraz A. Qureshi

309 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheeraz A. Qureshi United States 39 4.2k 3.6k 1.1k 718 351 347 5.5k
Christopher K. Kepler United States 40 5.0k 1.2× 4.4k 1.2× 1.5k 1.4× 769 1.1× 226 0.6× 373 6.7k
Y. Raja Rampersaud Canada 42 4.0k 1.0× 3.4k 0.9× 1.2k 1.2× 554 0.8× 302 0.9× 205 5.6k
Ali Bydon United States 50 5.9k 1.4× 4.5k 1.2× 1.0k 1.0× 582 0.8× 302 0.9× 272 7.4k
Safdar N. Khan United States 34 3.3k 0.8× 1.9k 0.5× 768 0.7× 1000 1.4× 418 1.2× 252 5.5k
John R. Dimar United States 44 7.8k 1.9× 6.1k 1.7× 1.4k 1.3× 935 1.3× 302 0.9× 158 9.0k
Amit Jain United States 37 3.6k 0.9× 1.9k 0.5× 395 0.4× 491 0.7× 413 1.2× 281 5.2k
Hyun W. Bae United States 34 3.6k 0.9× 3.6k 1.0× 1.1k 1.1× 878 1.2× 159 0.5× 150 5.1k
Ronald A. Lehman United States 43 6.5k 1.5× 4.8k 1.3× 635 0.6× 767 1.1× 131 0.4× 314 7.6k
Kirkham B. Wood United States 46 6.5k 1.5× 5.1k 1.4× 1.2k 1.1× 777 1.1× 180 0.5× 189 7.8k
Serena S. Hu United States 49 6.7k 1.6× 5.5k 1.5× 1.7k 1.6× 690 1.0× 286 0.8× 165 8.1k

Countries citing papers authored by Sheeraz A. Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Sheeraz A. Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheeraz A. Qureshi. 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 Sheeraz A. Qureshi. The network helps show where Sheeraz A. Qureshi may publish in the future.

Co-authorship network of co-authors of Sheeraz A. Qureshi

This figure shows the co-authorship network connecting the top 25 collaborators of Sheeraz A. Qureshi. A scholar is included among the top collaborators of Sheeraz A. Qureshi 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 Sheeraz A. Qureshi. Sheeraz A. Qureshi 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.
Asada, Tomoyuki, Venkat Boddapati, Kasra Araghi, et al.. (2025). MIS-TLIF Achieves Comparable Outcomes in Challenging Spondylolisthesis Cases. Spine.
4.
Shahi, Pratyush, Junho Song, Tejas Subramanian, et al.. (2024). Clinical and Radiologic Predictors of Slower Improvement and Nonimprovement After Surgical Treatment of L4-L5 Degenerative Spondylolisthesis. Spine. 50(3). 187–195. 1 indexed citations
5.
Vaishnav, Avani S., Kasra Araghi, Nishtha Singh, et al.. (2024). Discrepancy between global- and disease-specific outcome measures following lumbar spine surgery. Journal of Neurosurgery Spine. 41(5). 648–657.
6.
Amen, Troy B., Tejas Subramanian, Mitchell A. Johnson, et al.. (2024). Postoperative racial disparities following spine surgery are less pronounced in the outpatient setting. The Spine Journal. 24(8). 1361–1368. 1 indexed citations
7.
Subramanian, Tejas, Troy B. Amen, Kasra Araghi, et al.. (2023). Comparison of the Safety of Inpatient Versus Outpatient Lumbar Fusion. Spine. 49(4). 269–277. 2 indexed citations
8.
Asada, Tomoyuki, Omri Maayan, Pratyush Shahi, et al.. (2023). Impact of Frailty and Cervical Radiographic Parameters on Postoperative Dysphagia Following Anterior Cervical Spine Surgery. Spine. 49(2). 81–89. 3 indexed citations
9.
Song, Junho, Junho Song, Sohrab Vatsia, et al.. (2023). Association between history of lumbar spine surgery and paralumbar muscle health: a propensity score-matched analysis. The Spine Journal. 23(11). 1659–1666. 5 indexed citations
10.
Shahi, Pratyush, Omri Maayan, Daniel Shinn, et al.. (2023). Floor-Mounted Robotic Pedicle Screw Placement in Lumbar Spine Surgery: An Analysis of 1,050 Screws. Neurospine. 20(2). 577–586. 11 indexed citations
11.
Subramanian, Tejas, Daniel Shinn, Pratyush Shahi, et al.. (2023). Severe Obesity Is an Independent Risk Factor of Early Readmission and Nonhome Discharge After Cervical Disc Replacement. Neurospine. 20(3). 890–898. 8 indexed citations
12.
Shahi, Pratyush, Sidhant Dalal, Daniel Shinn, et al.. (2023). Improvement following minimally invasive transforaminal lumbar interbody fusion in patients aged 70 years or older compared with younger age groups. Neurosurgical FOCUS. 54(1). E4–E4. 13 indexed citations
13.
Bovonratwet, Patawut, Milan Kapadia, Aaron Z. Chen, et al.. (2022). Opioid prescription trends after ambulatory anterior cervical discectomy and fusion. The Spine Journal. 23(3). 448–456. 3 indexed citations
14.
15.
Alluri, Ram K., et al.. (2021). Location of the Femoral Nerve in the Lateral Decubitus Versus Prone Position. Global Spine Journal. 13(7). 1765–1770. 17 indexed citations
16.
Gupta, Anmol, Thomas Cha, Joseph H. Schwab, et al.. (2020). Age Is Just a Number: Patient Age Does Not Affect Outcome Following Surgery for Osteoporotic Vertebral Compression Fractures. Global Spine Journal. 11(7). 1083–1088. 2 indexed citations
17.
Fischer, Charla R., et al.. (2018). Evidence Based Medicine Review of Posterior Thoracolumbar Minimally Invasive Technology. The International Journal of Spine Surgery. 12(6). 680–688. 2 indexed citations
18.
Overley, Samuel C., Steven J. McAnany, Robert L. Brochin, et al.. (2017). The 5-year cost-effectiveness of two-level anterior cervical discectomy and fusion or cervical disc replacement: a Markov analysis. The Spine Journal. 18(1). 63–71. 25 indexed citations
19.
Lovy, Andrew J., Javier Z. Guzman, Branko Skovrlj, et al.. (2015). Prevalence, Comorbidities, and Risk of Perioperative Complications in Human Immunodeficiency Virus-Positive Patients Undergoing Cervical Spine Surgery. Spine. 40(21). E1128–E1134. 7 indexed citations
20.
Lu, Young, Javier Z. Guzman, Devina Purmessur, et al.. (2014). Nonoperative Management of Discogenic Back Pain. Spine. 39(16). 1314–1324. 38 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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