Chad M. Patton

553 total citations
36 papers, 398 citations indexed

About

Chad M. Patton is a scholar working on Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chad M. Patton has authored 36 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 18 papers in Pathology and Forensic Medicine and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chad M. Patton's work include Spine and Intervertebral Disc Pathology (17 papers), Cardiac, Anesthesia and Surgical Outcomes (9 papers) and Musculoskeletal pain and rehabilitation (8 papers). Chad M. Patton is often cited by papers focused on Spine and Intervertebral Disc Pathology (17 papers), Cardiac, Anesthesia and Surgical Outcomes (9 papers) and Musculoskeletal pain and rehabilitation (8 papers). Chad M. Patton collaborates with scholars based in United States, Australia and Italy. Chad M. Patton's co-authors include Justin Turcotte, Zachary Sanford, Andrew Broda, Alpesh A. Patel, Amy P. Powell, Graham Byrnes, Richard Anney, Craig A. Olsson, V. Collins and R. Williamson and has published in prestigious journals such as PLoS ONE, Spine and Molecular Psychiatry.

In The Last Decade

Chad M. Patton

31 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad M. Patton United States 11 207 141 52 49 47 36 398
Scott R. Laker United States 9 66 0.3× 66 0.5× 75 1.4× 81 1.7× 209 4.4× 24 471
Miguel A. Hernández‐Hernández Spain 12 43 0.2× 162 1.1× 12 0.2× 39 0.8× 33 0.7× 53 497
Jennifer Rosenblum United States 5 148 0.7× 87 0.6× 14 0.3× 181 3.7× 31 0.7× 7 375
Kitty Lawrence Austria 10 48 0.2× 28 0.2× 111 2.1× 58 1.2× 34 0.7× 16 403
Emily F. Ratner United States 12 320 1.5× 54 0.4× 87 1.7× 69 1.4× 17 0.4× 19 614
Emiliano Petrucci Italy 15 264 1.3× 40 0.3× 76 1.5× 50 1.0× 12 0.3× 50 499
Justin Norden United States 11 124 0.6× 78 0.6× 92 1.8× 60 1.2× 8 0.2× 17 343
Sergio Núñez de Arenas‐Arroyo Spain 12 58 0.3× 48 0.3× 21 0.4× 58 1.2× 17 0.4× 37 426
Andrea Siu United States 10 65 0.3× 28 0.2× 12 0.2× 56 1.1× 114 2.4× 33 299
Celeste L. Overbeek Netherlands 11 252 1.2× 18 0.1× 121 2.3× 18 0.4× 79 1.7× 22 365

Countries citing papers authored by Chad M. Patton

Since Specialization
Citations

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

Fields of papers citing papers by Chad M. Patton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad M. Patton

This figure shows the co-authorship network connecting the top 25 collaborators of Chad M. Patton. A scholar is included among the top collaborators of Chad M. Patton 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 Chad M. Patton. Chad M. Patton 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.
Kertesz, Stefan G., Allyson L. Varley, Thomas E. Joiner, et al.. (2025). Protocol for research examination of individual suicides occurring in chronic pain: A qualitative approach to psychological autopsy methodology. PLoS ONE. 20(11). e0329874–e0329874.
2.
3.
Rana, Parimal, et al.. (2024). Outcomes and Cost-Effectiveness of Hospital Outpatient Versus Ambulatory Surgery Center Lumbar Decompression Surgery. Global Spine Journal. 15(4). 2193–2200. 2 indexed citations
4.
Rana, Parimal, et al.. (2024). Disparities in Patient-reported Outcome Measure Completion Rates and Baseline Function in Newly Presenting Spine Patients. Spine. 49(22). 1591–1597. 4 indexed citations
5.
6.
Rana, Parimal, et al.. (2023). Optimizing Patient Outcomes in Spinal Surgery: An Investigation Into Anesthesiologists’ Case Volume. Cureus. 15(11). e49559–e49559. 1 indexed citations
7.
Turcotte, Justin, et al.. (2023). Are We Considering the Whole Patient? The Impact of Physical and Mental Health on the Outcomes of Spine Care. Spine. 48(10). 720–727. 5 indexed citations
8.
Turcotte, Justin, et al.. (2023). Effect of Lower Extremity Osteoarthritis on Outcomes of Lumbar Decompression. JAAOS Global Research and Reviews. 7(10).
9.
Turcotte, Justin, et al.. (2023). The Effect of Preoperative, Low-Dose Intrathecal Morphine on Patient Outcomes Following Lumbar Fusion Surgery: Can We Teach an Old Dog New Tricks?. The International Journal of Spine Surgery. 17(5). 721–727.
10.
Turcotte, Justin, et al.. (2022). The Impact of Depression and Anxiety on Perioperative Outcomes and Patient-Reported Outcomes Measurement Information System Physical Function After Thoracolumbar Surgery. The International Journal of Spine Surgery. 16(6). 1095–1102. 7 indexed citations
11.
Andersen, Kristina, et al.. (2022). Social Determinants of Health Influence Early Outcomes Following Lumbar Spine Surgery. Ochsner Journal. 22(4). 299–306. 19 indexed citations
12.
Petre, Benjamin M., et al.. (2022). Postoperative Outcomes in Patients Undergoing Orthopaedic Surgery Within 90 Days of Coronavirus Disease 2019. Journal of the American Academy of Orthopaedic Surgeons. 31(3). 148–154. 13 indexed citations
13.
Turcotte, Justin, et al.. (2022). Development and validation of a risk-based algorithm for preoperative type and screen testing in spine surgery. The Spine Journal. 22(9). 1472–1480. 3 indexed citations
14.
Turcotte, Justin, Kevin Crowley, Cyrus Lashgari, et al.. (2021). The impact of opioid prescribing reduction interventions on prescribing patterns across orthopedic subspecialties. Journal of Opioid Management. 17(2). 169–179. 3 indexed citations
15.
Turcotte, Justin, et al.. (2021). Patient Goal-directed Care in an Orthopaedic Spine Specialty Clinic. Journal of the American Academy of Orthopaedic Surgeons. 29(17). e880–e887. 2 indexed citations
16.
Sanford, Zachary, et al.. (2020). Predictive Risk Factors Associated With Increased Opioid Use Among Patients Undergoing Elective Spine Surgery. The International Journal of Spine Surgery. 14(2). 189–194. 17 indexed citations
17.
Palsgrove, Andrew, Chad M. Patton, Paul J. King, Jeffrey M. Gelfand, & Justin Turcotte. (2019). A comparison of PROMIS Global Health-Mental and legacy orthopedic outcome measures for evaluating preoperative mental health status. Journal of Orthopaedics. 19. 98–101. 9 indexed citations
18.
Turcotte, Justin & Chad M. Patton. (2018). Predictors of Postoperative Complications After Surgery for Lumbar Spinal Stenosis and Degenerative Lumbar Spondylolisthesis. JAAOS Global Research and Reviews. 2(12). e085–e085. 9 indexed citations
19.
Olsson, Craig A., Graham Byrnes, V. Collins, et al.. (2005). Association between 5-HTTLPR genotypes and persisting patterns of anxiety and alcohol use: results from a 10-year longitudinal study of adolescent mental health. Molecular Psychiatry. 10(9). 868–876. 66 indexed citations
20.
Patton, Chad M. & Hugo Rossi. (1985). Unitary structures on cohomology. Transactions of the American Mathematical Society. 290(1). 235–235. 10 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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