Ming‐Jr Jian
About
Ming‐Jr Jian is a scholar working on Infectious Diseases, Epidemiology and Endocrinology.
According to data from OpenAlex, Ming‐Jr Jian has authored 26 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 9 papers in Epidemiology and 5 papers in Endocrinology. Recurrent topics in Ming‐Jr Jian's work include SARS-CoV-2 detection and testing (15 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Viral gastroenteritis research and epidemiology (4 papers). Ming‐Jr Jian is often cited by papers focused on SARS-CoV-2 detection and testing (15 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Viral gastroenteritis research and epidemiology (4 papers). Ming‐Jr Jian collaborates with scholars based in Taiwan, Japan and Canada. Ming‐Jr Jian's co-authors include Cherng‐Lih Perng, Hung‐Sheng Shang, Hsing‐Yi Chung, Chih-Kai Chang, Feng‐Yee Chang, Kuo‐Ming Yeh, Jung‐Chung Lin, Chien‐Wen Chen, Kuo‐Sheng Hung and Ming‐Tsan Liu and has published in prestigious journals such as Scientific Reports, Journal of Antimicrobial Chemotherapy and Journal of Medical Internet Research.
In The Last Decade
Ming‐Jr Jian
22 papers receiving 314 citations
Peers
Ming‐Jr Jian
Hsing‐Yi Chung Taiwan
Parakriti Gupta India
Sherilynn Vogel United States
Angélica Ramos Portugal
Israt Islam Bangladesh
Huixia Gao China
Juan Romanyk Spain
Alessandro Berto Italy
Muttaqillah Najihan Abdul Samat Malaysia
Scott Chapman Australia
Citations per year, relative to Ming‐Jr Jian Ming‐Jr Jian (= 1×)
peers
Hsing‐Yi Chung
Countries citing papers authored by Ming‐Jr Jian
Since
Specialization
Citations
This map shows the geographic impact of Ming‐Jr Jian'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 Ming‐Jr Jian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Jr Jian more than expected).
Fields of papers citing papers by Ming‐Jr Jian
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Ming‐Jr Jian. 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 Ming‐Jr Jian. The network helps show where Ming‐Jr Jian may publish in the future.
Co-authorship network of co-authors of Ming‐Jr Jian
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jr Jian. A scholar is included among the top collaborators of Ming‐Jr Jian 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 Ming‐Jr Jian. Ming‐Jr Jian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Chung, Hsing‐Yi, Ming‐Jr Jian, Chih-Kai Chang, et al.. (2025). AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study. Journal of Medical Internet Research. 27. e56155–e56155.
2.
Chung, Hsing‐Yi, Ming‐Jr Jian, Chih-Kai Chang, et al.. (2024). An Advanced Machine Learning Model for a Web-Based Artificial Intelligence–Based Clinical Decision Support System Application: Model Development and Validation Study. Journal of Medical Internet Research. 26. e56022–e56022.
3.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2024). Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System–Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study. Journal of Medical Internet Research. 26. e58039–e58039.
4.
Hung, Kuo‐Sheng, Ming‐Jr Jian, Hsing‐Yi Chung, et al.. (2024). Host-Pathogen Interactions in K. pneumoniae Urinary Tract Infections: Investigating Genetic Risk Factors in the Taiwanese Population. Diagnostics. 14(4). 415–415.
5.
Chang, Chih‐Kai, Ming‐Jr Jian, Hsing‐Yi Chung, et al.. (2024). Monitoring coronavirus disease progression and clinical impact through quantitative viral load testing. Clinica Chimica Acta. 560. 119731–119731.
6.
Chung, Hsing‐Yi, Ming‐Jr Jian, Chih‐Kai Chang, et al.. (2023). Accelerating pandemic response with the emergency Omicron RT‐PCR test: A comprehensive solution for COVID‐19 diagnosis and tracking. Journal of Medical Virology. 95(7). e28914–e28914.
7.
Jian, Ming‐Jr, et al.. (2023). Clinical Evaluation of Direct Reverse Transcription PCR for Detection of SARS-CoV-2 Compared to Conventional RT-PCR in Patients with Positive Rapid Antigen Test Results during Circulation of Emerging Viral Variants. Diagnostics. 13(24). 3668–3668.
8.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2022). Critical pediatric neurological illness associated with COVID-19 (Omicron BA.2.3.7 variant) infection in Taiwan: immunological assessment and viral genome analysis in tertiary medical center. International Journal of Infectious Diseases. 124. 45–48.
9.
Jian, Ming‐Jr, Cherng‐Lih Perng, Hsing‐Yi Chung, et al.. (2021). Clinical assessment of SARS-CoV-2 antigen rapid detection compared with RT-PCR assay for emerging variants at a high-throughput community testing site in Taiwan. International Journal of Infectious Diseases. 115. 30–34.
10.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2021). Clinical Comparison of Three Sample-to-Answer Systems for Detecting SARS-CoV-2 in B.1.1.7 Lineage Emergence. Infection and Drug Resistance. Volume 14. 3255–3261.
11.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2021). Genomic analysis of early transmissibility assessment of the D614G mutant strain of SARS-CoV-2 in travelers returning to Taiwan from the United States of America. PeerJ. 9. e11991–e11991.
12.
Chung, Hsing‐Yi, Ming‐Jr Jian, Chih-Kai Chang, et al.. (2021). Multicenter study evaluating novel multi-specimen pooling assay for the detection of SARS-CoV-2: High sensitivity and high throughput testing. Journal of Microbiology Immunology and Infection. 55(6). 1069–1075.
13.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2021). SARS-CoV-2 variants with T135I nucleocapsid mutations may affect antigen test performance. International Journal of Infectious Diseases. 114. 112–114.
14.
Chung, Hsing‐Yi, Ming‐Jr Jian, Chih-Kai Chang, et al.. (2021). Novel dual multiplex real-time RT-PCR assays for the rapid detection of SARS-CoV-2, influenza A/B, and respiratory syncytial virus using the BD MAX open system. Emerging Microbes & Infections. 10(1). 161–166.
15.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2021). Investigation of One Familial Cluster of COVID-19 in Taiwan: Differentiation of Genetic Variation Among Isolates and Implications for Epidemiological Investigation and Surveillance by Genomic Assay. Infection and Drug Resistance. Volume 14. 971–977.
16.
Jian, Ming‐Jr, Hsing‐Yi Chung, Chih-Kai Chang, et al.. (2020). Novel automated sample-to-result SARS-CoV-2 laboratory-developed RT-PCR assay for high-throughput testing using LabTurbo AIO 48 system. Clinica Chimica Acta. 514. 54–58.
17.
Jian, Ming‐Jr, Cherng‐Lih Perng, Jun‐Ren Sun, et al.. (2019). Multicentre MDR Elizabethkingia anophelis isolates: Novel random amplified polymorphic DNA with capillary electrophoresis systems to rapid molecular typing compared to genomic epidemiology analysis. Scientific Reports. 9(1). 1806–1806.
18.
Jian, Ming‐Jr, Hsing‐Yi Chung, Yu-Hsuan Cheng, et al.. (2019). Fluoroquinolone resistance in carbapenem-resistant Elizabethkingia anophelis: phenotypic and genotypic characteristics of clinical isolates with topoisomerase mutations and comparative genomic analysis. Journal of Antimicrobial Chemotherapy. 74(6). 1503–1510.
19.
Perng, Cherng‐Lih, et al.. (2018). Multicentre study evaluating matrix-assisted laser desorption ionization–time of flight mass spectrometry for identification of clinically isolated Elizabethkingia species and analysis of antimicrobial susceptibility. Clinical Microbiology and Infection. 25(3). 340–345.
20.
Jian, Ming‐Jr, et al.. (2018). Molecular typing and profiling of topoisomerase mutations causing resistance to ciprofloxacin and levofloxacin in Elizabethkingia species. PeerJ. 6. e5608–e5608.
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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