← back to search

Junyu Liu

Tianjin University · CN
Area of research
Epidemiology · Infectious Diseases
Research interest
Research focused on Cryptococcal meningitis and Immunology, with related work in Retrospective cohort study, Nomogram, Cryptococcus neoformans. Notable publications include 'Development and validation of a machine learning model to predict prognosis in HIV-negative cryptococcal meningitis patients: a multicenter study', 'Immunological Predictors of Post Infectious Inflammatory Response Syndrome in HIV-Negative Immunocompetent Cryptococcal Meningitis', and 'Analysis of the Association of HLA Subtypes With Cryptococcal Meningitis in HIV-Negative Immunocompetent Patients'.
h-index
citations
19
works
6
NIH funding
primary concept
email

Recent publications

Survival predictive nomograms for non-surgical lung squamous-cell carcinoma patients with brain metastases: a SEER-based retrospective cohort study with external validation
ONCOLOGIE 2025cited by 0position: middledoi
Development and validation of a machine learning model to predict prognosis in HIV-negative cryptococcal meningitis patients: a multicenter study
European Journal of Clinical Microbiology & Infectious Diseases 2023cited by 8position: firstdoi
Immunological Predictors of Post Infectious Inflammatory Response Syndrome in HIV-Negative Immunocompetent Cryptococcal Meningitis
Frontiers in Immunology 2022cited by 6position: middledoi
Analysis of the Association of HLA Subtypes With Cryptococcal Meningitis in HIV-Negative Immunocompetent Patients
Future Microbiology 2022cited by 4position: middledoi
Development and Validation of a Machine Learning Model to Predict Prognosis in HIV-Negative Cryptococcal Meningitis Patients: A Multicentre Retrospective Study
SSRN Electronic Journal 2022cited by 1position: firstdoi
Development and validation of a machine learning model to predict prognosis in HIV-negative cryptococcal meningitis patients: A multicentre retrospective study
Research Square 2022cited by 0position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Fuhua Peng · Sun Yat-sen University5 papers (2022–2023)Ying Jiang · Jiangnan University5 papers (2022–2023)Jia Liu · Qingdao University5 papers (2022–2023)Anni Wang · Third Affiliated Hospital of Sun Yat-sen University4 papers (2022–2023)Lu Yang · Shandong Marine Resource and Environment Research Institute4 papers (2022–2023)Jiayin Liang · Third Affiliated Hospital of Sun Yat-sen University3 papers (2022–2023)Lei Xiong · Massachusetts Institute of Technology3 papers (2022–2023)Xiaohong Su · Shihezi University3 papers (2022–2023)Zifeng Liu · Sun Yat-sen University3 papers (2022–2023) · 3 papers (2022–2023)Hui Bu · Hebei Medical University3 papers (2022–2023) · 3 papers (2022–2023) · 3 papers (2022–2023)Liuxu Fan · Third Affiliated Hospital of Sun Yat-sen University3 papers (2022–2023)Qilong Zhang · Guangxi University3 papers (2022–2023)Xiufeng Zhong · Sun Yat-sen University3 papers (2022–2023) · 3 papers (2022–2023)Panpan Liang · Third Affiliated Hospital of Sun Yat-sen University3 papers (2022–2023)Hua Li · Shenyang Pharmaceutical University3 papers (2022–2023)Yuan Wang · Shandong University of Traditional Chinese Medicine3 papers (2022–2023)