Steven Casha

3.2k total citations · 1 hit paper
30 papers, 2.3k citations indexed

About

Steven Casha is a scholar working on Pathology and Forensic Medicine, Surgery and Pharmacology. According to data from OpenAlex, Steven Casha has authored 30 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 19 papers in Surgery and 5 papers in Pharmacology. Recurrent topics in Steven Casha's work include Spinal Cord Injury Research (11 papers), Spine and Intervertebral Disc Pathology (11 papers) and Anesthesia and Pain Management (7 papers). Steven Casha is often cited by papers focused on Spinal Cord Injury Research (11 papers), Spine and Intervertebral Disc Pathology (11 papers) and Anesthesia and Pain Management (7 papers). Steven Casha collaborates with scholars based in Canada, United States and Switzerland. Steven Casha's co-authors include Michael G. Fehlings, Wen Ru Yu, V. Wee Yong, R. John Hurlbert, Luanne M. Metz, Fabrizio Giuliani, Jennifer Wells, Christopher Power, Sean Christie and Nathalie Jetté and has published in prestigious journals such as PLoS ONE, Brain and The Lancet Neurology.

In The Last Decade

Steven Casha

30 papers receiving 2.3k citations

Hit Papers

Preoperative predictors of poor acute postoperative pain ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Casha Canada 18 1.2k 783 560 321 316 30 2.3k
Darlene A. Burke United States 28 1.7k 1.4× 675 0.9× 687 1.2× 244 0.8× 268 0.8× 55 2.4k
Jung-Kil Lee South Korea 26 869 0.7× 1.1k 1.5× 400 0.7× 267 0.8× 243 0.8× 142 2.5k
Russ P. Nockels United States 19 1.2k 1.0× 959 1.2× 383 0.7× 137 0.4× 260 0.8× 41 2.2k
Anders Holtz Sweden 27 1.2k 1.0× 490 0.6× 437 0.8× 141 0.4× 240 0.8× 61 1.8k
Alex E. Marcillo United States 20 1.8k 1.5× 643 0.8× 964 1.7× 377 1.2× 599 1.9× 25 2.8k
Alexander Marcillo United States 20 1.3k 1.1× 375 0.5× 1.1k 2.0× 245 0.8× 405 1.3× 30 2.3k
Thomas Liebscher Germany 18 1.0k 0.8× 365 0.5× 742 1.3× 143 0.4× 251 0.8× 31 1.7k
Sang Ryong Jeon South Korea 25 976 0.8× 880 1.1× 530 0.9× 85 0.3× 280 0.9× 133 2.1k
Haruo Kanno Japan 23 1.2k 1.0× 654 0.8× 426 0.8× 84 0.3× 291 0.9× 60 1.8k

Countries citing papers authored by Steven Casha

Since Specialization
Citations

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

Fields of papers citing papers by Steven Casha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Casha

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Casha. A scholar is included among the top collaborators of Steven Casha 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 Steven Casha. Steven Casha 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
2.
Yang, Michael, Jay Riva-Cambrin, Jonathan W. Cunningham, & Steven Casha. (2023). Impact of preoperative insomnia on poor postoperative pain control after elective spine surgery and the modified Calgary postoperative pain after spine surgery (MCAPPS) score. North American Spine Society Journal (NASSJ). 16. 100261–100261. 3 indexed citations
3.
Yang, Michael, Jay Riva-Cambrin, Jonathan W. Cunningham, & Steven Casha. (2022). Validation of the Calgary Postoperative Pain after Spine Surgery Score for Poor Postoperative Pain Control after Spine Surgery. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 50(5). 687–693. 2 indexed citations
4.
Yang, Michael, Rebecca L. Hartley, Alexander A. C. Leung, et al.. (2019). Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis. BMJ Open. 9(4). e025091–e025091. 252 indexed citations breakdown →
5.
Thomas, Kenneth, W. Bradley Jacobs, Alex Soroceanu, et al.. (2019). Effect of preoperative symptom duration on outcome in lumbar spinal stenosis: a Canadian Spine Outcomes and Research Network registry study. The Spine Journal. 19(9). 1470–1477. 25 indexed citations
6.
Kucher, Klaus, Donald R. Johns, Doris Maier, et al.. (2018). First-in-Man Intrathecal Application of Neurite Growth-Promoting Anti-Nogo-A Antibodies in Acute Spinal Cord Injury. Neurorehabilitation and neural repair. 32(6-7). 578–589. 124 indexed citations
7.
Ryu, Won Hyung A., et al.. (2018). Systematic review of health economic studies in cranial neurosurgery. Neurosurgical FOCUS. 44(5). E2–E2. 4 indexed citations
8.
Badhiwala, Jetan H., Jefferson R. Wilson, Brian K. Kwon, Steven Casha, & Michael G. Fehlings. (2018). A Review of Clinical Trials in Spinal Cord Injury Including Biomarkers. Journal of Neurotrauma. 35(16). 1906–1917. 38 indexed citations
9.
Yavin, Daniel, Steven Casha, Samuel Wiebe, et al.. (2017). Lumbar Fusion for Degenerative Disease: A Systematic Review and Meta-Analysis. Neurosurgery. 80(5). 701–715. 114 indexed citations
10.
Kaushik, Deepak, Heather Yong, Jennifer Hahn, et al.. (2016). Evaluating Soluble EMMPRIN as a Marker of Disease Activity in Multiple Sclerosis: Studies of Serum and Cerebrospinal Fluid. PLoS ONE. 11(10). e0163802–e0163802. 5 indexed citations
11.
Kühle, Jens, David Leppert, Axel Petzold, et al.. (2014). Serum neurofilament light chain is a biomarker of human spinal cord injury severity and outcome. Journal of Neurology Neurosurgery & Psychiatry. 86(3). 273–279. 153 indexed citations
12.
Casha, Steven, et al.. (2012). Results of a phase II placebo-controlled randomized trial of minocycline in acute spinal cord injury. Brain. 135(4). 1224–1236. 282 indexed citations
13.
Christie, Sean, et al.. (2010). Acute Pharmacological DVT Prophylaxis after Spinal Cord Injury. Journal of Neurotrauma. 28(8). 1509–1514. 41 indexed citations
14.
Casha, Steven, et al.. (2010). Acute Management of Nutritional Demands after Spinal Cord Injury. Journal of Neurotrauma. 28(8). 1497–1507. 29 indexed citations
15.
Casha, Steven & Sean Christie. (2009). A Systematic Review of Intensive Cardiopulmonary Management after Spinal Cord Injury. Journal of Neurotrauma. 28(8). 1479–1495. 76 indexed citations
16.
Casha, Steven, et al.. (2006). Design limitations of Bryan disc arthroplasty. The Spine Journal. 6(3). 233–241. 70 indexed citations
17.
Casha, Steven, Wen Ru Yu, & Michael G. Fehlings. (2005). FAS deficiency reduces apoptosis, spares axons and improves function after spinal cord injury. Experimental Neurology. 196(2). 390–400. 86 indexed citations
18.
Yong, V. Wee, Jennifer Wells, Fabrizio Giuliani, et al.. (2004). The promise of minocycline in neurology. The Lancet Neurology. 3(12). 744–751. 429 indexed citations
19.
20.
Casha, Steven, Wen Ru Yu, & Michael G. Fehlings. (2001). Oligodendroglial apoptosis occurs along degenerating axons and is associated with FAS and p75 expression following spinal cord injury in the rat. Neuroscience. 103(1). 203–218. 319 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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