Daniel J. Hoh

2.3k total citations
85 papers, 1.5k citations indexed

About

Daniel J. Hoh is a scholar working on Surgery, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Daniel J. Hoh has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 43 papers in Pathology and Forensic Medicine and 12 papers in Neurology. Recurrent topics in Daniel J. Hoh's work include Spine and Intervertebral Disc Pathology (34 papers), Spinal Fractures and Fixation Techniques (34 papers) and Pelvic and Acetabular Injuries (12 papers). Daniel J. Hoh is often cited by papers focused on Spine and Intervertebral Disc Pathology (34 papers), Spinal Fractures and Fixation Techniques (34 papers) and Pelvic and Acetabular Injuries (12 papers). Daniel J. Hoh collaborates with scholars based in United States, Canada and South Korea. Daniel J. Hoh's co-authors include Michael Y. Wang, James S. Harrop, Sanjay S. Dhall, J. Bradley Elder, Brian L. Hoh, J Mocco, Basma Mohamed, Daniel Neal, J. Gordon McComb and Sasha Vaziri and has published in prestigious journals such as Spine, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Daniel J. Hoh

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Hoh United States 24 1.0k 585 211 198 170 85 1.5k
Tamir Ailon Canada 28 1.7k 1.7× 1.3k 2.3× 179 0.8× 284 1.4× 186 1.1× 83 2.3k
Burak M. Ozgur United States 19 1.4k 1.4× 1.3k 2.2× 170 0.8× 202 1.0× 120 0.7× 35 2.0k
Edward Benzel United States 21 1.1k 1.1× 804 1.4× 152 0.7× 129 0.7× 91 0.5× 52 1.7k
Aruna Ganju United States 25 1.3k 1.2× 812 1.4× 225 1.1× 210 1.1× 57 0.3× 52 1.8k
Christopher D. Witiw Canada 28 1.5k 1.5× 1.4k 2.4× 434 2.1× 182 0.9× 78 0.5× 127 2.4k
Vijay M. Ravindra United States 20 775 0.8× 559 1.0× 445 2.1× 141 0.7× 54 0.3× 119 1.5k
Yu‐Mi Ryang Germany 29 1.5k 1.4× 974 1.7× 487 2.3× 335 1.7× 64 0.4× 107 2.8k
Anders Lundin Sweden 20 657 0.7× 286 0.5× 204 1.0× 104 0.5× 138 0.8× 50 1.7k
Kevin T. Huang United States 22 593 0.6× 299 0.5× 315 1.5× 89 0.4× 108 0.6× 63 1.3k
Hari K. Parvataneni United States 21 1.4k 1.4× 625 1.1× 140 0.7× 165 0.8× 145 0.9× 69 1.9k

Countries citing papers authored by Daniel J. Hoh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Hoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Hoh. 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 Daniel J. Hoh. The network helps show where Daniel J. Hoh may publish in the future.

Co-authorship network of co-authors of Daniel J. Hoh

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Hoh. A scholar is included among the top collaborators of Daniel J. Hoh 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 Daniel J. Hoh. Daniel J. Hoh 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.
Mohamed, Basma, Sandra C. Yan, Ken Porche, Cynthia Garvan, & Daniel J. Hoh. (2025). The predictive value of the Fried frailty phenotype in evaluating postoperative outcomes in lumbar spine fusion surgery. Journal of Neurosurgery Spine. 42(5). 589–597. 1 indexed citations
2.
Read, Mary Schmidt, et al.. (2025). Combining Therapeutic Strategies to Treat the Injured Spinal Cord: A Translational Perspective. Journal of Neurotrauma. 42(23-24). 2129–2148. 1 indexed citations
3.
Porche, Ken, Sasha Vaziri, Alan Stein, et al.. (2023). The effect of myelopathic symptoms on hospital costs, length of stay, and discharge location in anterior cervical discectomy and fusion. Neurosurgical FOCUS. 55(3). E8–E8. 1 indexed citations
4.
Porche, Ken, Sandra C. Yan, Yusuf Mehkri, et al.. (2023). The Enhanced Recovery After Surgery pathway for posterior cervical surgery: a retrospective propensity-matched cohort study. Journal of Neurosurgery Spine. 39(2). 216–227. 8 indexed citations
5.
Porche, Ken, Sandra C. Yan, Basma Mohamed, et al.. (2022). Enhanced recovery after surgery (ERAS) improves return of physiological function in frail patients undergoing one- to two-level TLIFs: an observational retrospective cohort study. The Spine Journal. 22(9). 1513–1522. 28 indexed citations
6.
Dru, Alexander, et al.. (2019). Cervical Spine Deformity Correction Techniques. Neurospine. 16(3). 470–482. 29 indexed citations
7.
Dru, Alexander, Dan Neal, Sasha Vaziri, et al.. (2019). Race and socioeconomic disparity in treatment and outcome of traumatic cervical spinal cord injury with fracture: Nationwide Inpatient Sample database, 1998–2009. Spinal Cord. 57(10). 858–865. 20 indexed citations
8.
Dru, Alexander & Daniel J. Hoh. (2015). Activating Spinal Interneurons for Neural Repair After Spinal Cord Injury. World Neurosurgery. 84(5). 1185–1188. 2 indexed citations
9.
Hoh, Daniel J., Maryam Rahman, Kyle M Fargen, Dan Neal, & Brian L. Hoh. (2015). Establishing standard hospital performance measures for cervical spinal trauma: a Nationwide In-patient Sample study. Spinal Cord. 54(4). 306–313. 8 indexed citations
10.
Weaver, Kristin J., et al.. (2014). Decreased incidence of venous thromboembolism after spine surgery with early multimodal prophylaxis. Journal of Neurosurgery Spine. 21(4). 677–684. 75 indexed citations
11.
Harrop, James S., Ali R. Rezai, Daniel J. Hoh, George M. Ghobrial, & Ashwini Sharan. (2013). Neurosurgical Training With a Novel Cervical Spine Simulator. Neurosurgery. 73(supplement 1). S94–S99. 51 indexed citations
12.
Ducruet, Andrew F., William J. Mack, J Mocco, et al.. (2011). Preclinical Evaluation of Postischemic Dehydroascorbic Acid Administration in a Large-Animal Stroke Model. Translational Stroke Research. 2(3). 399–403. 11 indexed citations
13.
Hoh, Daniel J., Brian L. Hoh, Arun Paul Amar, & Michael Y. Wang. (2009). SHAPE MEMORY ALLOYS. Operative Neurosurgery. 64(5). ons199–ons215. 29 indexed citations
14.
Hoh, Daniel J., J. Bradley Elder, & Michael Y. Wang. (2008). PRINCIPLES OF GROWTH MODULATION IN THE TREATMENT OF SCOLIOTIC DEFORMITIES. Neurosurgery. 63(3). A211–A221. 7 indexed citations
15.
Elder, J. Bradley, et al.. (2008). THE FUTURE OF CEREBRAL SURGERY. Neurosurgery. 62(Supplement 3). SHC1555–SHC1582. 19 indexed citations
16.
Hoh, Daniel J., Charles Y. Liu, Joseph C.T. Chen, et al.. (2007). CHAINED LIGHTNING. Neurosurgery. 61(6). 1111–1130. 5 indexed citations
17.
Hoh, Daniel J., Charles Y. Liu, Paul G. Pagnini, et al.. (2007). CHAINED LIGHTNING, PART I. Neurosurgery. 61(1). 14–28. 14 indexed citations
18.
Hoh, Daniel J., Charles Y. Liu, Joseph C.T. Chen, et al.. (2007). CHAINED LIGHTNING, PART II. Neurosurgery. 61(3). 433–446. 12 indexed citations
19.
Wang, Michael Y., Daniel J. Hoh, S. Leary, Pamela Griffith, & J. Gordon McComb. (2004). High Rates of Neurological Improvement Following Severe Traumatic Pediatric Spinal Cord Injury. Spine. 29(13). 1493–1497. 72 indexed citations
20.
Mack, William J., J Mocco, Daniel J. Hoh, et al.. (2002). Outcome prediction with serum intercellular adhesion molecule-1 levels after aneurysmal subarachnoid hemorrhage. Journal of neurosurgery. 96(1). 71–75. 70 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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