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About the database ScholarIQanswers from OpenAlex & ORCID
How has Wenhao Chen's publication output changed over time?
ScholarIQpublication output · 2017–2023
Output grew0% over the shown period — from 1 works in 2017 to 1 in 2023.
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2017201820192020202120222023
What are the most-cited papers on Wenhao Chen?
ScholarIQmost cited works
Risk factors analysis and prevention of metabolic bone disease of prematurity
Wenhao Chen, Changyi Yang, Hanqiang Chen, Baoquan Zhang
Medicine. 201841 CitationsOPEN ACCESS
Outcomes and Risk Factors Associated With Failures of Debridement, Antibiotics, and Implant Retention in Patients With Acute Hematogenous Periprosthetic Joint Infection
Wenhao Chen, Christian Klemt, Evan J. Smith, Venkatsaiakhil Tirumala, Liang Xiong, Young‐Min Kwon
S4393916888. 202131 Citations
Lentivirus carrying the NeuroD1 gene promotes the conversion from glial cells into neurons in a spinal cord injury model
Wenhao Chen, Baoquan Zhang, Shuxia Xu, Renqin Lin, Wei Wang
S8119441. 201722 Citations
Using machine learning techniques predicts prognosis of patients with Ewing sarcoma
Wenhao Chen, Chaoming Zhou, Zhiyu Yan, Hui Chen, Kainan Lin, Zibing Zheng, XU Wen-chen
Journal of Orthopaedic Research®. 202120 CitationsOPEN ACCESS
A novel risk score model based on glycolysis‐related genes and a prognostic model for predicting overall survival of osteosarcoma patients
Wenhao Chen, Yuxiang Lin, Jianping Huang, Zhiyu Yan, Hua Cao
Journal of Orthopaedic Research®. 202215 Citations
Related on ScholarIQ
Children's Hospital of Zhejiang University
Institution
Risk factors analysis and prevention of metabolic bone disease of prematurity
Paper
Outcomes and Risk Factors Associated With Failures of Debridement, Antibiotics, and Implant Retention in Patients With Acute Hematogenous Periprosthetic Joint Infection
Paper
Lentivirus carrying the NeuroD1 gene promotes the conversion from glial cells into neurons in a spinal cord injury model
Paper
Using machine learning techniques predicts prognosis of patients with Ewing sarcoma
Paper
A novel risk score model based on glycolysis‐related genes and a prognostic model for predicting overall survival of osteosarcoma patients
Paper