David H. Ge

581 total citations
21 papers, 389 citations indexed

About

David H. Ge is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, David H. Ge has authored 21 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 6 papers in Pathology and Forensic Medicine and 5 papers in Biomedical Engineering. Recurrent topics in David H. Ge's work include Spine and Intervertebral Disc Pathology (6 papers), Spinal Fractures and Fixation Techniques (6 papers) and Scoliosis diagnosis and treatment (5 papers). David H. Ge is often cited by papers focused on Spine and Intervertebral Disc Pathology (6 papers), Spinal Fractures and Fixation Techniques (6 papers) and Scoliosis diagnosis and treatment (5 papers). David H. Ge collaborates with scholars based in United States, China and Iran. David H. Ge's co-authors include Themistocles S. Protopsaltis, Aaron J. Buckland, Charla R. Fischer, Thomas J. Errico, Kiavash Kiaee, Su Ryon Shin, Nicholas Stekas, Peter G. Passias, Christopher Varlotta and Dennis Vasquez-Montes and has published in prestigious journals such as Spine, Small and Frontiers in Immunology.

In The Last Decade

David H. Ge

17 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David H. Ge United States 9 202 171 117 58 37 21 389
Сholahuddin Рhatomy Indonesia 13 401 2.0× 78 0.5× 50 0.4× 42 0.7× 17 0.5× 64 544
Fuxing Pei China 11 265 1.3× 28 0.2× 115 1.0× 37 0.6× 36 1.0× 42 382
Ajit M. Vakharia United States 10 160 0.8× 71 0.4× 30 0.3× 20 0.3× 9 0.2× 20 316
Zhencheng Xiong China 12 95 0.5× 59 0.3× 54 0.5× 32 0.6× 19 0.5× 38 303
Zengdong Meng China 11 94 0.5× 30 0.2× 79 0.7× 70 1.2× 27 0.7× 25 325
Kosuke Sato Japan 12 186 0.9× 83 0.5× 114 1.0× 37 0.6× 34 0.9× 55 382
Jianming Hua China 10 121 0.6× 75 0.4× 276 2.4× 215 3.7× 10 0.3× 13 450
Ramsey C. Kinney United States 8 182 0.9× 101 0.6× 22 0.2× 26 0.4× 15 0.4× 9 361
Hui Tao China 13 153 0.8× 54 0.3× 216 1.8× 112 1.9× 13 0.4× 33 415
Bayan Aghdasi United States 17 387 1.9× 130 0.8× 341 2.9× 101 1.7× 4 0.1× 31 599

Countries citing papers authored by David H. Ge

Since Specialization
Citations

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

Fields of papers citing papers by David H. Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Ge

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Ge. A scholar is included among the top collaborators of David H. Ge 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 David H. Ge. David H. Ge 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.
Liu, Lusheng, et al.. (2025). Epigenetic regulation in oogenesis and fetal development: insights into m6A modifications. Frontiers in Immunology. 16. 1516473–1516473.
2.
Gómez, Jaime A., David H. Ge, Regina Hanstein, et al.. (2022). Posterior-only Resection of Single Hemivertebrae With 2-Level Versus >2-Level Fusion: Can We Improve Outcomes?. Journal of Pediatric Orthopaedics. 42(7). 354–360. 4 indexed citations
3.
Gómez, Jaime A. & David H. Ge. (2021). 50 Years Ago in T J P. The Journal of Pediatrics. 232. 191–191. 1 indexed citations
4.
5.
Yang, Xiuyi A., David H. Ge, & Jaime A. Gómez. (2021). The importance of sagittal alignment in patients with adolescent idiopathic scoliosis and early onset scoliosis: A review on preoperative versus postoperative changes. Seminars in Spine Surgery. 33(4). 100909–100909. 1 indexed citations
6.
Lee, Junmin, Shreya Mehrotra, Raquel O. Rodrigues, et al.. (2020). A Heart‐Breast Cancer‐on‐a‐Chip Platform for Disease Modeling and Monitoring of Cardiotoxicity Induced by Cancer Chemotherapy. Small. 17(15). e2004258–e2004258. 109 indexed citations
7.
Hockley, Aaron, David H. Ge, Dennis Vasquez-Montes, et al.. (2020). Predictors of long-term opioid dependence in transforaminal lumbar interbody fusion with a focus on pre-operative opioid usage. European Spine Journal. 29(6). 1311–1317. 11 indexed citations
8.
Jodat, Yasamin A., Kiavash Kiaee, Ting Wang, et al.. (2020). A 3D‐Printed Hybrid Nasal Cartilage with Functional Electronic Olfaction. Advanced Science. 7(5). 1901878–1901878. 63 indexed citations
9.
Hockley, Aaron, David H. Ge, Dennis Vasquez-Montes, et al.. (2019). Minimally Invasive Versus Open Transforaminal Lumbar Interbody Fusion Surgery: An Analysis of Opioids, Nonopioid Analgesics, and Perioperative Characteristics. Global Spine Journal. 9(6). 624–629. 29 indexed citations
10.
Ge, David H., Aaron Hockley, Dennis Vasquez-Montes, et al.. (2019). Total Inpatient Morphine Milligram Equivalents Can Predict Long-term Opioid Use After Transforaminal Lumbar Interbody Fusion. Spine. 44(20). 1465–1470. 19 indexed citations
11.
Khalifé, Marc, Renaud Lafage, Jingyan Yang, et al.. (2019). Pelvic Compensation in Sagittal Malalignment. Spine. 45(4). E203–E209. 10 indexed citations
12.
Varlotta, Christopher, David H. Ge, Nicholas Stekas, et al.. (2019). MRI Radiological Predictors of Requiring Microscopic Lumbar Discectomy After Lumbar Disc Herniation. Global Spine Journal. 10(1). 63–68. 7 indexed citations
13.
Segreto, Frank A., Dennis Vasquez-Montes, Cole Bortz, et al.. (2019). Impact of presenting patient characteristics on surgical complications and morbidity in early onset scoliosis. Journal of Clinical Neuroscience. 62. 105–111. 4 indexed citations
14.
Horn, Samantha R., Katherine E. Pierce, Cheongeun Oh, et al.. (2019). Predictors of Hospital-Acquired Conditions Are Predominately Similar for Spine Surgery and Other Common Elective Surgical Procedures, With Some Key Exceptions. Global Spine Journal. 9(7). 717–723. 7 indexed citations
15.
Passias, Peter G., Cole Bortz, Samantha R. Horn, et al.. (2019). Diminishing Clinical Returns of Multilevel Minimally Invasive Lumbar Interbody Fusion. Spine. 44(20). E1181–E1187. 5 indexed citations
16.
Bortz, Cole, Haddy Alas, Frank A. Segreto, et al.. (2019). Complication Risk in Primary and Revision Minimally Invasive Lumbar Interbody Fusion: A Comparable Alternative to Conventional Open Techniques?. Global Spine Journal. 10(5). 619–626. 3 indexed citations
17.
Ge, David H., Nicholas Stekas, Christopher Varlotta, et al.. (2018). Comparative Analysis of Two Transforaminal Lumbar Interbody Fusion Techniques. Spine. 44(9). E555–E560. 81 indexed citations
18.
Ge, David H., et al.. (2018). Total Hip Arthroplasty in a Patient with Camurati-Engelmann Disease. JBJS Case Connector. 8(2). e45–e45. 1 indexed citations
19.
Ge, David H., Afshin A. Anoushiravani, Benjamin S. Kester, Jonathan M. Vigdorchik, & Ran Schwarzkopf. (2017). Preoperative Diagnosis Can Predict Conversion Total Knee Arthroplasty Outcomes. The Journal of Arthroplasty. 33(1). 124–129.e1. 23 indexed citations
20.
Zhang, Yong, et al.. (2013). Bioinformatics analyses combined microarray identify the desregulated microRNAs in lung cancer.. PubMed. 17(11). 1509–16. 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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