Olumide Danisa

1.0k total citations
74 papers, 696 citations indexed

About

Olumide Danisa is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Olumide Danisa has authored 74 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 38 papers in Pathology and Forensic Medicine and 17 papers in Biomedical Engineering. Recurrent topics in Olumide Danisa's work include Spine and Intervertebral Disc Pathology (38 papers), Spinal Fractures and Fixation Techniques (27 papers) and Pelvic and Acetabular Injuries (15 papers). Olumide Danisa is often cited by papers focused on Spine and Intervertebral Disc Pathology (38 papers), Spinal Fractures and Fixation Techniques (27 papers) and Pelvic and Acetabular Injuries (15 papers). Olumide Danisa collaborates with scholars based in United States, Australia and Italy. Olumide Danisa's co-authors include Wayne Cheng, Christopher I. Shaffrey, Shalin S. Patel, John A. Jane, Donald Chan, Gwo‐Jaw Wang, Mark E. Shaffrey, Christian K. Hansen, Richard Whitehill and Joseph T. Moskal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Spine.

In The Last Decade

Olumide Danisa

63 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olumide Danisa United States 12 573 429 121 87 49 74 696
Marie–Jacqueline Reisener United States 12 470 0.8× 385 0.9× 213 1.8× 104 1.2× 85 1.7× 31 607
Stephan N. Salzmann United States 18 733 1.3× 644 1.5× 268 2.2× 163 1.9× 182 3.7× 60 924
Frank P. Castro United States 16 743 1.3× 399 0.9× 86 0.7× 66 0.8× 91 1.9× 22 820
Nam-Su Chung South Korea 12 421 0.7× 359 0.8× 86 0.7× 39 0.4× 139 2.8× 53 505
Zeeshan M. Sardar United States 15 730 1.3× 492 1.1× 109 0.9× 23 0.3× 58 1.2× 119 845
Daniel K. Park United States 16 743 1.3× 606 1.4× 111 0.9× 19 0.2× 147 3.0× 40 837
Gabriel Liu Singapore 19 1.1k 2.0× 813 1.9× 80 0.7× 25 0.3× 107 2.2× 90 1.2k
Bertram Thé Netherlands 15 732 1.3× 113 0.3× 78 0.6× 46 0.5× 21 0.4× 62 794
Vibhu Krishnan Viswanathan India 11 331 0.6× 188 0.4× 43 0.4× 43 0.5× 50 1.0× 72 419
K.‐S. Delank Germany 13 273 0.5× 115 0.3× 52 0.4× 71 0.8× 36 0.7× 29 409

Countries citing papers authored by Olumide Danisa

Since Specialization
Citations

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

Fields of papers citing papers by Olumide Danisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olumide Danisa

This figure shows the co-authorship network connecting the top 25 collaborators of Olumide Danisa. A scholar is included among the top collaborators of Olumide Danisa 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 Olumide Danisa. Olumide Danisa 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.
Park, H., et al.. (2024). Artificial intelligence versus clinical judgement: how accurately do generative models reflect CNS guidelines for chiari malformation?. Clinical Neurology and Neurosurgery. 248. 108662–108662. 1 indexed citations
3.
Im, Daniel D., et al.. (2024). Lumbar disc space height in relation to neural foraminal dimensions and patient characteristics: A morphometric analysis from L1-S1 using computed tomography. SHILAP Revista de lepidopterología. 5. 104162–104162. 1 indexed citations
4.
Shin, David S., et al.. (2024). Are the Umbilicus and Iliac Crests Truly at the Level of L4 to L5? A Computed Tomography-Based Study of Surface Anatomy of the Anterior Lumbar Spine. The International Journal of Spine Surgery. 18(6). 660–666. 1 indexed citations
5.
Shin, David S., et al.. (2024). Correlations among Cervical, Thoracic, and lumbar Hounsfield Unit measurements for assessment of bone mineral density. Journal of Clinical Neuroscience. 120. 23–28. 5 indexed citations
7.
Im, Daniel D., et al.. (2024). Anatomic Parameters for Diagnosing Congenital Lumbar Stenosis Based on Computed Tomography of 1,000 Patients. Journal of the American Academy of Orthopaedic Surgeons. 32(22). e1186–e1195. 1 indexed citations
9.
Taylor, Rachel R., David S. Shin, Nathaniel Wycliffe, et al.. (2024). Morphometric analysis of cervical neuroforaminal dimensions from C2–T1 using computed tomography of 1,000 patients. The Spine Journal. 25(10). 2215–2227. 3 indexed citations
10.
Wycliffe, Nathaniel, et al.. (2023). Anatomic Assessment of L1-S1 Neuroforaminal Dimensions Using Computed Tomography. Journal of Bone and Joint Surgery. 105(19). 1512–1518. 6 indexed citations
11.
Lay, Johnson, et al.. (2023). Patients Follow-up for Spinal Epidural Abscess as a Critical Treatment Plan Consideration. Cureus. 15(2). e35058–e35058. 1 indexed citations
12.
Danisa, Olumide, et al.. (2023). Analysis of the Reasons for Medical Malpractice Litigation Due to Facet Injections. Cureus. 15(2). e35015–e35015.
13.
Thakkar, Savyasachi C., et al.. (2023). The Reoperation, Readmission, and Complication Rates at 30 Days Following Lumbar Decompression for Cauda Equina Syndrome. Cureus. 15(11). e49059–e49059. 1 indexed citations
14.
Huang, Hongxiang, Changliang Zhu, Hao Qin, et al.. (2022). Intracranial hemorrhage after spinal surgery: a literature review. Annals of Translational Medicine. 10(20). 1141–1141. 4 indexed citations
15.
Boling, Warren, et al.. (2022). Preoperative opiate use leads to increased postoperative opiate use and readmissions after anterior cervical discectomy and fusion. Journal of Spine Surgery. 8(2). 214–223. 1 indexed citations
16.
Wycliffe, Nathaniel, et al.. (2022). Comparison of cervical, thoracic, and lumbar vertebral bone quality scores for increased utility of bone mineral density screening. European Spine Journal. 32(1). 20–26. 17 indexed citations
17.
Cheng, Wayne, et al.. (2022). Effect of Preoperative Opiate Use on Outcomes After Posterior Lumbar Surgery. Cureus. 14(2). e22663–e22663. 4 indexed citations
18.
Danisa, Olumide, et al.. (2019). Delayed Diagnosis and Management of Traumatic Cervical Spine Subluxation.. PubMed Central. 9(4). 84–87. 6 indexed citations
19.
Moskal, Joseph T., Olumide Danisa, & Christopher I. Shaffrey. (1997). Isolated revision acetabuloplasty using a porous-coated cementless acetabular component without removal of a well-fixed femoral component. The Journal of Arthroplasty. 12(7). 719–727. 41 indexed citations
20.
Danisa, Olumide, Christopher I. Shaffrey, John A. Jane, et al.. (1995). Surgical approaches for the correction of unstable thoracolumbar burst fractures: a retrospective analysis of treatment outcomes. Journal of neurosurgery. 83(6). 977–983. 152 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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