Jun Yue
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 5%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Tuberculosis Research and Epidemiology 25
- HIV/AIDS drug development and treatment 2
- Epidemiology 20
- Mycobacterium research and diagnosis 17
- Co-authors
- Honghai Wang (11 shared papers)Min Soo Han (11 shared papers)Yanlin Zhao (11 shared papers)Hongxiu Wang (7 shared papers)Yao Li (6 shared papers)Erliang Zeng (3 shared papers)Lirong Liu (6 shared papers)Wei Shi (2 shared papers)
- Journals
- Journal of Clinical Microbiology (6 papers)Infection Genetics and Evolution (3 papers)Emerging Microbes & Infections (2 papers)Tuberculosis (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Yue
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 584
- Epidemiology 435
- Microbiology 9
- Immunology 148
- Molecular Medicine 33
Countries citing papers authored by Jun Yue
This map shows the geographic impact of Jun Yue'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 Jun Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yue more than expected).
Fields of papers citing papers by Jun Yue
This network shows the impact of papers produced by Jun Yue. 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 Jun Yue. The network helps show where Jun Yue may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 114 | |
| 2 | 2003 | 98 | |
| 3 | 2014 | 85 | |
| 4 | Transforming growth factor beta signaling through Smad1 in human breast cancer cells. | 1998 | 58 |
| 5 | 2016 | 54 | |
| 6 | Nontuberculous mycobacteria: susceptibility pattern and prevalence rate in Shanghai from 2005 to 2008. | 2010 | 47 |
| 7 | 2012 | 44 | |
| 8 | 2012 | 32 | |
| 9 | 2012 | 31 | |
| 10 | 2011 | 30 | |
| 11 | 2008 | 28 | |
| 12 | 2011 | 27 | |
| 13 | Using a cDNA microarray to study cellular gene expression altered by Mycobacterium tuberculosis. | 2003 | 27 |
| 14 | 2007 | 24 | |
| 15 | 2021 | 24 | |
| 16 | 2007 | 23 | |
| 17 | 2011 | 23 | |
| 18 | 2003 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 2012 | 21 |
About Jun Yue
Jun Yue is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (17 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (3 papers), Cancer therapeutics and mechanisms (3 papers), Animal Virus Infections Studies (2 papers), interferon and immune responses (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Infectious Diseases (584 citations), Epidemiology (435 citations), Microbiology (9 citations), Immunology (148 citations) and Molecular Medicine (33 citations). Jun Yue has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Honghai Wang, Min Soo Han, Yanlin Zhao, Hongxiu Wang, Yao Li, Erliang Zeng, Lirong Liu, Wei Shi, Jingping Xie and Xuelian Zhang. Their work appears in journals such as Journal of Clinical Microbiology, Infection Genetics and Evolution, Emerging Microbes & Infections, Tuberculosis and Gene.
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.