Kasra Araghi

920 total citations
66 papers, 498 citations indexed

About

Kasra Araghi is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Kasra Araghi has authored 66 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Surgery, 55 papers in Pathology and Forensic Medicine and 25 papers in Pharmacology. Recurrent topics in Kasra Araghi's work include Spine and Intervertebral Disc Pathology (55 papers), Spinal Fractures and Fixation Techniques (32 papers) and Musculoskeletal pain and rehabilitation (25 papers). Kasra Araghi is often cited by papers focused on Spine and Intervertebral Disc Pathology (55 papers), Spinal Fractures and Fixation Techniques (32 papers) and Musculoskeletal pain and rehabilitation (25 papers). Kasra Araghi collaborates with scholars based in United States, Japan and Germany. Kasra Araghi's co-authors include Pratyush Shahi, Sheeraz A. Qureshi, Sravisht Iyer, Evan Sheha, James Dowdell, Tejas Subramanian, Daniel Shinn, Dimitra Melissaridou, Junho Song and Sidhant Dalal and has published in prestigious journals such as Journal of Bone and Joint Surgery, Spine and European Spine Journal.

In The Last Decade

Kasra Araghi

48 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kasra Araghi United States 15 394 385 150 107 30 66 498
Tejas Subramanian United States 11 198 0.5× 183 0.5× 77 0.5× 51 0.5× 30 1.0× 60 278
Junho Song United States 12 344 0.9× 300 0.8× 126 0.8× 72 0.7× 6 0.2× 78 429
Nadia M. Hrynewycz United States 12 280 0.7× 246 0.6× 124 0.8× 59 0.6× 3 0.1× 43 397
Daniel Shinn United States 12 228 0.6× 232 0.6× 103 0.7× 57 0.5× 7 0.2× 24 281
Aditya Mazmudar United States 7 194 0.5× 129 0.3× 66 0.4× 59 0.6× 21 0.7× 26 286
Sidhant Dalal United States 12 227 0.6× 232 0.6× 102 0.7× 56 0.5× 5 0.2× 24 272
Tomoyuki Asada United States 10 236 0.6× 160 0.4× 54 0.4× 46 0.4× 3 0.1× 82 278
Christopher R. Howe United States 8 193 0.5× 122 0.3× 83 0.6× 41 0.4× 6 0.2× 9 293
Rahul V. Shah United States 8 269 0.7× 315 0.8× 223 1.5× 58 0.5× 12 439
Krishna T. Kudaravalli United States 11 289 0.7× 250 0.6× 75 0.5× 44 0.4× 1 0.0× 18 373

Countries citing papers authored by Kasra Araghi

Since Specialization
Citations

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

Fields of papers citing papers by Kasra Araghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kasra Araghi

This figure shows the co-authorship network connecting the top 25 collaborators of Kasra Araghi. A scholar is included among the top collaborators of Kasra Araghi 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 Kasra Araghi. Kasra Araghi 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.
2.
Subramanian, Tejas, Kasra Araghi, Takashi Hirase, et al.. (2025). Percutaneous Transforaminal Endoscopic Discectomy. JBJS Essential Surgical Techniques. 15(4).
3.
4.
Shahi, Pratyush, Tejas Subramanian, Kyle W. Morse, et al.. (2025). Effectiveness of Minimally Invasive Decompression Alone in L4-5 Degenerative Spondylolisthesis With Translational Motion. Clinical Spine Surgery A Spine Publication. 39(1). E8–E14.
5.
Araghi, Kasra, Takashi Hirase, Tomoyuki Asada, et al.. (2025). Surgical Site Infection After Posterior Lumbar Instrumented Fusions. HSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery. 22(2). 123–131. 1 indexed citations
6.
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
7.
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.
8.
9.
Araghi, Kasra, et al.. (2024). Reliability of Vertebral Pelvic Angles in Assessment of Spinal Alignment. Global Spine Journal. 15(2). 1288–1294. 4 indexed citations
10.
Zhang, Joshua, Amy Lu, Patawut Bovonratwet, et al.. (2024). Predictors for Failure to Respond to Erector Spinae Plane Block Following Minimally Invasive Transforaminal Lumbar Interbody Fusion. Spine. 49(23). 1669–1675.
11.
Asada, Tomoyuki, Tejas Subramanian, Takashi Hirase, et al.. (2024). Level-specific comparison of 3D navigated and robotic arm-guided screw placement: an accuracy assessment of 1210 pedicle screws in lumbar surgery. The Spine Journal. 24(10). 1872–1880. 8 indexed citations
12.
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
13.
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
14.
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
15.
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
16.
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
17.
Shahi, Pratyush, Omri Maayan, Tejas Subramanian, et al.. (2023). 147. Preoperative disability influences effectiveness of MCID and PASS in predicting patient improvement following cervical spine surgery. The Spine Journal. 23(9). S75–S75.
18.
Shahi, Pratyush, Tomoyuki Asada, Tejas Subramanian, et al.. (2023). Poor muscle health and low preoperative ODI are independent predictors for slower achievement of MCID after minimally invasive decompression. The Spine Journal. 23(8). 1152–1160. 21 indexed citations
19.
Shahi, Pratyush, Tejas Subramanian, Omri Maayan, et al.. (2023). Surgeon Experience Influences Robotics Learning Curve for Minimally Invasive Lumbar Fusion. Spine. 48(21). 1517–1525. 13 indexed citations
20.
Shahi, Pratyush, Avani S. Vaishnav, Young‐Hoon Kim, et al.. (2022). Practical answers to frequently asked questions in minimally invasive lumbar spine surgery. The Spine Journal. 23(1). 54–63. 31 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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