Matthew E. Cunningham

3.4k total citations
122 papers, 2.4k citations indexed

About

Matthew E. Cunningham is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Matthew E. Cunningham has authored 122 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Surgery, 50 papers in Pathology and Forensic Medicine and 12 papers in Biomedical Engineering. Recurrent topics in Matthew E. Cunningham's work include Scoliosis diagnosis and treatment (53 papers), Spine and Intervertebral Disc Pathology (50 papers) and Spinal Fractures and Fixation Techniques (46 papers). Matthew E. Cunningham is often cited by papers focused on Scoliosis diagnosis and treatment (53 papers), Spine and Intervertebral Disc Pathology (50 papers) and Spinal Fractures and Fixation Techniques (46 papers). Matthew E. Cunningham collaborates with scholars based in United States, Japan and Israel. Matthew E. Cunningham's co-authors include Han Jo Kim, Oheneba Boachie-Adjei, Oheneba Boachie–Adjei, Mitsuru Yagi, Sravisht Iyer, David R. Kaplan, Robert M. Stephens, Lloyd A. Greene, Todd J. Albert and Venu M. Nemani and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Matthew E. Cunningham

112 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew E. Cunningham United States 27 1.5k 1.1k 348 223 163 122 2.4k
Koji Tamai Japan 25 1.1k 0.7× 866 0.8× 308 0.9× 146 0.7× 84 0.5× 140 2.2k
Khoi D. Than United States 29 1.7k 1.1× 1.2k 1.2× 188 0.5× 190 0.9× 137 0.8× 148 2.4k
Gaetano J. Scuderi United States 26 1.3k 0.8× 909 0.9× 251 0.7× 308 1.4× 45 0.3× 66 2.1k
Pavlos Katonis Greece 31 1.6k 1.0× 779 0.7× 442 1.3× 116 0.5× 172 1.1× 83 2.6k
Paul T. Rubery United States 24 1.1k 0.7× 497 0.5× 323 0.9× 266 1.2× 131 0.8× 82 2.1k
Hiroshi Kitahara Japan 25 1.4k 0.9× 748 0.7× 136 0.4× 322 1.4× 85 0.5× 62 2.0k
Lewis L. Shi United States 29 1.7k 1.1× 275 0.3× 903 2.6× 136 0.6× 248 1.5× 119 3.3k
James M. Mok United States 16 827 0.5× 491 0.5× 613 1.8× 113 0.5× 115 0.7× 34 1.8k
S. Tim Yoon United States 27 2.0k 1.3× 1.9k 1.8× 283 0.8× 328 1.5× 102 0.6× 96 3.0k
Yasuaki Tokuhashi Japan 31 3.3k 2.1× 2.3k 2.2× 257 0.7× 446 2.0× 443 2.7× 139 4.2k

Countries citing papers authored by Matthew E. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Cunningham. 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 Matthew E. Cunningham. The network helps show where Matthew E. Cunningham may publish in the future.

Co-authorship network of co-authors of Matthew E. Cunningham

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Cunningham. A scholar is included among the top collaborators of Matthew E. Cunningham 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 Matthew E. Cunningham. Matthew E. Cunningham 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
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Zhang, Bo, John C. Clohisy, Robert Merrill, et al.. (2024). What Is the Carbon Footprint of Adult Spinal Deformity Surgery?. Journal of Clinical Medicine. 13(13). 3731–3731. 4 indexed citations
4.
Subramanian, Tejas, et al.. (2024). Left-digit bias in surgical decision-making for lumbar spinal stenosis. The Spine Journal. 24(8). 1388–1395.
5.
Badulak, Jenelle, Jonah Rubin, Elizabeth A. Moore, et al.. (2023). Development of the Extracorporeal Life Support Organization International Adult Extracorporeal Membrane Oxygenation Curriculum. 1(3). 100026–100026. 1 indexed citations
6.
Krzyzanowska, Agata, Kyle W. Morse, Susannah L. Gilbert, et al.. (2023). Inducing Angiogenesis in the Nucleus Pulposus. Cells. 12(20). 2488–2488. 2 indexed citations
7.
Bovonratwet, Patawut, Scott Kulm, David A. Kolin, et al.. (2023). Identification of Novel Genetic Markers for the Risk of Spinal Pathologies. Journal of Bone and Joint Surgery. 105(11). 830–838. 3 indexed citations
8.
Heyer, Jessica H., Howard J. Hillstrom, Kyle W. Morse, et al.. (2022). 3D Surface Topographic Optical Scans Yield Highly Reliable Global Spine Range of Motion Measurements in Scoliotic and Non-Scoliotic Adolescents. Children. 9(11). 1756–1756. 5 indexed citations
9.
Hillstrom, Howard J., Kyle W. Morse, Matthew E. Cunningham, et al.. (2022). Reliability of automated topographic measurements for spine deformity. Spine Deformity. 10(5). 1035–1045. 14 indexed citations
10.
Sheha, Evan, Michael E. Steinhaus, Han Jo Kim, et al.. (2018). Leg-Length Discrepancy, Functional Scoliosis, and Low Back Pain. JBJS Reviews. 6(8). e6–e6. 47 indexed citations
11.
Liu, Shian, Bassel G. Diebo, Jensen K. Henry, et al.. (2015). The benefit of nonoperative treatment for adult spinal deformity: identifying predictors for reaching a minimal clinically important difference. The Spine Journal. 16(2). 210–218. 42 indexed citations
12.
Boachie-Adjei, Oheneba, Mitsuru Yagi, Harry Akoto, et al.. (2014). Surgical Risk Stratification Based on Preoperative Risk Factors in Severe Pediatric Spinal Deformity Surgery. Spine Deformity. 2(5). 340–349. 22 indexed citations
13.
Yagi, Mitsuru, Akilah King, Matthew E. Cunningham, & Oheneba Boachie–Adjei. (2013). Long-term Clinical and Radiographic Outcomes of Pedicle Subtraction Osteotomy for Fixed Sagittal Imbalance: Does Level of Proximal Fusion Affect the Outcome? Minimum 5-Year Follow-up. Spine Deformity. 1(2). 123–131. 29 indexed citations
14.
Hart, Robert A., Shay Bess, Behrooz A. Akbarnia, et al.. (2012). Comparison of Patient and Surgeon Perceptions of Adverse Events After Adult Spinal Deformity Surgery. Spine. 38(9). 732–736. 30 indexed citations
15.
Hirsch, Brandon P., Aasis Unnanuntana, Matthew E. Cunningham, & Joseph M. Lane. (2012). The effect of therapies for osteoporosis on spine fusion: a systematic review. The Spine Journal. 13(2). 190–199. 52 indexed citations
16.
Cunningham, Matthew E., et al.. (2011). Pediatric scoliosis. Current Reviews in Musculoskeletal Medicine. 4(4). 175–182. 14 indexed citations
17.
Kim, Han Jo, Christopher K. Kepler, Matthew E. Cunningham, Bernard A. Rawlins, & Oheneba Boachie–Adjei. (2010). Pulmonary Embolism in Spine Surgery. Spine. 36(2). 177–179. 15 indexed citations
18.
Kim, Han Jo, Matthew E. Cunningham, & Oheneba Boachie-Adjei. (2010). Revision Spine Surgery to Manage Pediatric Deformity. Journal of the American Academy of Orthopaedic Surgeons. 18(12). 739–748. 11 indexed citations
19.
Maher, Suzanne A., Chisa Hidaka, Matthew E. Cunningham, & Scott A. Rodeo. (2006). SPECIALTY UPDATE What's New in Orthopaedic Research. Journal of Bone and Joint Surgery. 1800–1808. 3 indexed citations
20.
Cunningham, Matthew E., et al.. (2005). Fusionless scoliosis surgery. Current Opinion in Pediatrics. 17(1). 48–53. 19 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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