Paul M. Arnold

19.3k total citations · 2 hit papers
406 papers, 11.7k citations indexed

About

Paul M. Arnold is a scholar working on Surgery, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Paul M. Arnold has authored 406 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 285 papers in Surgery, 232 papers in Pathology and Forensic Medicine and 42 papers in Neurology. Recurrent topics in Paul M. Arnold's work include Spine and Intervertebral Disc Pathology (205 papers), Spinal Fractures and Fixation Techniques (151 papers) and Cervical and Thoracic Myelopathy (130 papers). Paul M. Arnold is often cited by papers focused on Spine and Intervertebral Disc Pathology (205 papers), Spinal Fractures and Fixation Techniques (151 papers) and Cervical and Thoracic Myelopathy (130 papers). Paul M. Arnold collaborates with scholars based in United States, Canada and Netherlands. Paul M. Arnold's co-authors include Michael G. Fehlings, Alexander R. Vaccaro, Branko Kopjar, Lindsay Tetreault, James S. Harrop, Christopher I. Shaffrey, Eric M. Massicotte, Barry W. Festoff, Bruce A. Citron and Jefferson R. Wilson and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Paul M. Arnold

373 papers receiving 11.4k citations

Hit Papers

Early versus Delayed Decompression for Traumatic Cervical... 2012 2026 2016 2021 2012 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul M. Arnold United States 57 8.3k 7.4k 893 833 667 406 11.7k
James S. Harrop United States 60 10.5k 1.3× 9.4k 1.3× 1.6k 1.7× 1.1k 1.3× 913 1.4× 453 14.6k
Nicholas Theodore United States 51 6.3k 0.8× 5.3k 0.7× 1.1k 1.2× 1.4k 1.7× 1.1k 1.6× 430 10.2k
Volker K.H. Sonntag United States 60 10.5k 1.3× 8.6k 1.2× 849 1.0× 1.5k 1.8× 697 1.0× 314 12.7k
Morio Matsumoto Japan 57 8.0k 1.0× 6.4k 0.9× 594 0.7× 940 1.1× 1.3k 1.9× 656 14.1k
Stuart L. Weinstein United States 66 10.6k 1.3× 2.1k 0.3× 699 0.8× 302 0.4× 726 1.1× 287 15.1k
Thomas B. Ducker United States 38 3.8k 0.5× 3.9k 0.5× 617 0.7× 1.3k 1.5× 451 0.7× 114 7.1k
Yukihiro Matsuyama Japan 48 6.0k 0.7× 4.2k 0.6× 489 0.5× 531 0.6× 498 0.7× 445 8.4k
Hiroaki Nakamura Japan 48 5.3k 0.6× 2.8k 0.4× 398 0.4× 310 0.4× 874 1.3× 771 10.7k
Steven R. Garfin United States 62 9.5k 1.1× 7.5k 1.0× 434 0.5× 305 0.4× 1.2k 1.8× 254 12.6k
Masashi Yamazaki Japan 48 4.3k 0.5× 3.4k 0.5× 288 0.3× 449 0.5× 1.3k 1.9× 660 10.1k

Countries citing papers authored by Paul M. Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul M. Arnold. 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 Paul M. Arnold. The network helps show where Paul M. Arnold may publish in the future.

Co-authorship network of co-authors of Paul M. Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Arnold. A scholar is included among the top collaborators of Paul M. Arnold 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 Paul M. Arnold. Paul M. Arnold 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.
Steinmetz, Michael P., John E. OʼToole, Christopher D. Chaput, et al.. (2025). P-15 Peptide Enhanced Bone Graft Improves Time to Fusion in Transforaminal Lumbar Interbody Fusion. Spine. 51(4). 229–237.
3.
Arnold, Paul M., James S. Harrop, Gonzalo Mariscal, et al.. (2025). Adverse Impact of Smoking on Spine Fusion and Patient-Reported Outcomes: A Systematic Review and Meta-Analysis. Global Spine Journal. 16(2). 1329–1348.
4.
Rutges, Joost, Scott L. Zuckerman, Paul M. Arnold, et al.. (2025). Advancing Metastatic Spine Tumor Research: A Review of AO Spine Knowledge Forum Tumor’s Scientific Contributions Derived From the EPOSO Network, 2014-2024. Global Spine Journal. 15(6). 2999–3006.
5.
Anderson, Aaron, et al.. (2024). SCAT5 baseline values, test-retest reliability, and reliable change metrics in high school athletes. Neurosurgical FOCUS. 57(1). E5–E5. 3 indexed citations
6.
Thompson, Charee M., et al.. (2024). Chronic pain patients’ evaluations of consultations: A matter of high expectations or expectations unmet?. Patient Education and Counseling. 129. 108403–108403. 3 indexed citations
7.
Srikandarajah, Nisaharan, Nader Hejrati, Mohammed Ali Alvi, et al.. (2024). Prevention, Diagnosis, and Management of Intraoperative Spinal Cord Injury in the Setting of Spine Surgery: A Proposed Care Pathway. Global Spine Journal. 14(3_suppl). 166S–173S. 4 indexed citations
8.
Najafali, Daniel, et al.. (2023). Long-term assessment of the functional independence measure in sports-related spinal cord injury. Journal of Spinal Cord Medicine. 47(2). 214–228.
10.
Hu, Chang, Yogatheesan Varatharajah, Scott A. Przybelski, et al.. (2022). Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage. 251. 119020–119020. 9 indexed citations
11.
Naik, Anant, Emily J. Smith, Joshua S. Catapano, et al.. (2022). Endovascular and Medical Management of Cerebral Venous Thrombosis: A Systematic Review and Network Meta-Analysis. World Neurosurgery. 165. e197–e205. 9 indexed citations
12.
Elkaim, Lior M., Arjun Sahgal, Laurence D. Rhines, et al.. (2022). Steroids in the Management of Preoperative Neurological Deficits in Metastatic Spine Disease: Results From the EPOSO Study. Neurospine. 19(1). 43–50. 9 indexed citations
13.
Naik, Anant, David T. Krist, Carolina Sandoval-Garcia, et al.. (2022). Anterior versus Posterior Ventricular Catheter Placement in Pediatric Patients: A Systematic Review and Meta-Analysis. World Neurosurgery. 167. e10–e18.
14.
Sahgal, Arjun, Ilya Laufer, Laurence D. Rhines, et al.. (2021). Correlation Between the Spinal Instability Neoplastic Score (SINS) and Patient Reported Outcomes. Global Spine Journal. 13(5). 1358–1364. 10 indexed citations
15.
Bond, Michael, Anne Versteeg, Arjun Sahgal, et al.. (2019). Surgical or Radiation Therapy for the Treatment of Cervical Spine Metastases: Results From the Epidemiology, Process, and Outcomes of Spine Oncology (EPOSO) Cohort. Global Spine Journal. 10(1). 21–29. 10 indexed citations
16.
Choma, Theodore J., Thomas E. Mroz, Christina L. Goldstein, Paul M. Arnold, & Mohammed F. Shamji. (2017). Emerging Techniques in Degenerative Thoracolumbar Surgery. Neurosurgery. 80(3S). S55–S60. 5 indexed citations
17.
Zhang, Chengmin, Bin Ouyang, Pei Li, et al.. (2017). A Retrospective Study of Thoracolumbar Fractures Treated with Fixation and Nonfusion Surgery of Intravertebral Bone Graft Assisted with Balloon Kyphoplasty. World Neurosurgery. 108. 798–806. 6 indexed citations
18.
Kanaan, Saddam F., et al.. (2015). Investigating and predicting early lumbar spine surgery outcomes.. PubMed. 44(2). 83–90. 14 indexed citations
19.
Nassr, Ahmad, Joon Y. Lee, Marcel F. Dvorak, et al.. (2008). Variations in Surgical Treatment of Cervical Facet Dislocations. Spine. 33(7). E188–E193. 54 indexed citations
20.
Arnold, Paul M.. (1978). Das Totenbuch der Maya : der Kreislauf von Leben und Tod aus der Sicht der Maya. 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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