John H. Shin

7.1k total citations · 1 hit paper
196 papers, 4.0k citations indexed

About

John H. Shin is a scholar working on Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John H. Shin has authored 196 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Surgery, 79 papers in Pathology and Forensic Medicine and 31 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John H. Shin's work include Management of metastatic bone disease (80 papers), Spine and Intervertebral Disc Pathology (76 papers) and Spinal Fractures and Fixation Techniques (55 papers). John H. Shin is often cited by papers focused on Management of metastatic bone disease (80 papers), Spine and Intervertebral Disc Pathology (76 papers) and Spinal Fractures and Fixation Techniques (55 papers). John H. Shin collaborates with scholars based in United States, Canada and Switzerland. John H. Shin's co-authors include Ganesh M. Shankar, Elie Massaad, Muhamed Hadzipasic, Joseph H. Schwab, Daniel M. Sciubba, Andrew J. Schoenfeld, Arjun Sahgal, Laura E. Crotty Alexander, Kevin Oh and Gun‐Il Im and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

John H. Shin

188 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank

2023 215 citations Rohaid Ali, Oliver Y. Tang et al. Neurosurgery profile →

Peers

John H. Shin

SURGE

PFM

PRM

Tej D. Azad United States

Anand Veeravagu United States

Aditya V. Karhade United States

Carmelo Messina Italy

Jetan H. Badhiwala Canada

David J. Coté United States

Ralph P. Tufano United States

Seon‐Ok Kim South Korea

Tracy Wang United States

Debraj Mukherjee United States

Tej D. Azad United States

John H. Shin

1.6k ×0.7

SURGE

812 ×0.7

PFM

448 ×0.9

PRM

385 ×0.9

81 ×0.2

Citations per year, relative to John H. Shin John H. Shin (= 1×) peers Tej D. Azad

Countries citing papers authored by John H. Shin

Since Specialization

Citations

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

Fields of papers citing papers by John H. Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Shin. 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 John H. Shin. The network helps show where John H. Shin may publish in the future.

Co-authorship network of co-authors of John H. Shin

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Shin. A scholar is included among the top collaborators of John H. Shin 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 John H. Shin. John H. Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cho, Charles H., Jeffrey M. Hills, Paul A. Anderson, et al.. (2025). Appropriate use criteria for neoplastic compression fractures. The Spine Journal. 25(7). 1322–1336. 1 indexed citations

Cho, Charles, Jeffrey M. Hills, Paul A. Anderson, et al.. (2025). Appropriate use criteria for osteoporotic compression fractures. The Spine Journal. 25(8). 1652–1669. 1 indexed citations

Than, Khoi D., Wende N. Gibbs, Jonathan J. Rasouli, et al.. (2024). Assessing the Accessibility, Engagement, and Value of the Virtual Global Spine Conference as an Educational Platform for Spine: A Three-Year Review. World Neurosurgery. 185. e1040–e1048. 1 indexed citations

Jin, Michael C., Ian D. Connolly, Karthik Ravi, et al.. (2024). Unraveling molecular advancements in chordoma tumorigenesis and treatment response: a review of scientific discoveries and clinical implications. Neurosurgical FOCUS. 56(5). E18–E18. 2 indexed citations

Tretiakov, Peter, Matthew S. Galetta, John H. Shin, et al.. (2024). The Impact of Peri-operative Enhanced Recovery After Surgery Protocols on Outcomes Following Adult Cervical Deformity Surgery. Global Spine Journal. 15(3). 1544–1551. 4 indexed citations

Ali, Rohaid, Oliver Y. Tang, Ian D. Connolly, et al.. (2023). Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank. Neurosurgery. 93(5). 1090–1098. 215 indexed citations breakdown →

Ali, Rohaid, Oliver Y. Tang, Ian D. Connolly, et al.. (2023). Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations. Neurosurgery. 93(6). 1353–1365. 131 indexed citations

Bydon, Mohamad, John H. Shin, Shelly D. Timmons, Eric A. Potts, & Andrew K. Chan. (2023). Introduction. Machine learning in neurosurgery: transitioning to a new era of contemporary medicine. Neurosurgical FOCUS. 54(6). E1–E1. 1 indexed citations

Khalid, Syed, Aladine A. Elsamadicy, Elie Massaad, et al.. (2023). Outcomes Following 2-Level Cervical Interventions with Cage-and-Plate, Zero-Profile, or Arthroplasty Constructs. World Neurosurgery. 180. e607–e617. 1 indexed citations

10.

Elsamadicy, Aladine A., J Havlík, Benjamin C. Reeves, et al.. (2022). Assessment of Frailty Indices and Charlson Comorbidity Index for Predicting Adverse Outcomes in Patients Undergoing Surgery for Spine Metastases: A National Database Analysis. World Neurosurgery. 164. e1058–e1070. 19 indexed citations

11.

Elsamadicy, Aladine A., Andrew B. Koo, Wyatt B. David, et al.. (2022). Leveraging HFRS to assess how frailty affects healthcare resource utilization after elective ACDF for CSM. The Spine Journal. 23(1). 124–135. 9 indexed citations

12.

Ramos, Rafael De la Garza, Joshua Benton, Murray Echt, et al.. (2021). Racial Disparities in Perioperative Morbidity Following Oncological Spine Surgery. Global Spine Journal. 13(5). 1194–1199. 10 indexed citations

13.

Sciubba, Daniel M., Zach Pennington, Matthew W. Colman, et al.. (2021). Spinal metastases 2021: a review of the current state of the art and future directions. The Spine Journal. 21(9). 1414–1429. 50 indexed citations

14.

Elsamadicy, Aladine A., Andrew B. Koo, Wyatt B. David, et al.. (2021). Race Is an Independent Predictor for Nonroutine Discharges After Spine Surgery for Spinal Intradural/Cord Tumors. World Neurosurgery. 151. e707–e717. 4 indexed citations

15.

Sayed, Ibrahim M., Jorge A. Masso-Silva, Alexander Moshensky, et al.. (2021). Inflammatory phenotype modulation in the respiratory tract and systemic circulation of e-cigarette users: a pilot study. American Journal of Physiology-Lung Cellular and Molecular Physiology. 321(6). L1134–L1146. 14 indexed citations

16.

Fatima, Nida, Elie Massaad, Muhamed Hadzipasic, Ganesh M. Shankar, & John H. Shin. (2020). Safety and accuracy of robot-assisted placement of pedicle screws compared to conventional free-hand technique: a systematic review and meta-analysis. The Spine Journal. 21(2). 181–192. 105 indexed citations

17.

Fatima, Nida, Hui Zheng, Elie Massaad, et al.. (2020). Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis. World Neurosurgery. 140. 627–641. 30 indexed citations

18.

Arant, Kaetlyn R., Justin A. Blucher, Kristin J. Redmond, et al.. (2020). Clinician Experiences in Treatment Decision-Making for Patients with Spinal Metastases. Journal of Bone and Joint Surgery. 103(1). e1–e1. 8 indexed citations

19.

Bondonno, Nicola P., Joshua R. Lewis, Lauren C. Blekkenhorst, et al.. (2019). Association of flavonoids and flavonoid-rich foods with all-cause mortality: The Blue Mountains Eye Study. Clinical Nutrition. 39(1). 141–150. 50 indexed citations

20.

Rothman, Russell L., John H. Shin, R. C. Malone, et al.. (2006). Labor characteristics and program costs of a successful diabetes disease management program.. PubMed. 12(5). 277–83. 34 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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