Jun Cheng
Impact in
- Virology top 5%
- Rabies epidemiology and control
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 31
- Epidemiology 30
- Mycobacterium research and diagnosis 12
- Pneumonia and Respiratory Infections 7
- Pneumocystis jirovecii pneumonia detection and treatment 6
- Data-Driven Disease Surveillance 3
- Co-authors
- Hildegund C.J. Ertl (3 shared papers)Zhi Quan Xiang (2 shared papers)Steven L. Spitalnik (2 shared papers)Minh H. Tran (1 shared paper)William H. Wunner (1 shared paper)Weiguo Zhao (2 shared papers)Peter C. Melby (2 shared papers)John Hermon-Taylor (3 shared papers)
- Journals
- China CDC Weekly (6 papers)Infectious Diseases of Poverty (4 papers)PLoS ONE (4 papers)Virology (3 papers)Infection and Immunity (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Cheng
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Virology 166
- Infectious Diseases 583
- Epidemiology 817
- Immunology 385
- Parasitology 66
Countries citing papers authored by Jun Cheng
This map shows the geographic impact of Jun Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cheng more than expected).
Fields of papers citing papers by Jun Cheng
This network shows the impact of papers produced by Jun Cheng. 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 Cheng. The network helps show where Jun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cheng, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 322 | |
| 2 | 2000 | 181 | |
| 3 | 1995 | 151 | |
| 4 | 2001 | 135 | |
| 5 | 1998 | 103 | |
| 6 | 2000 | 91 | |
| 7 | 2013 | 59 | |
| 8 | 2020 | 49 | |
| 9 | 2015 | 37 | |
| 10 | 2019 | 34 | |
| 11 | 2015 | 28 | |
| 12 | 2019 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2020 | 26 | |
| 15 | The role of village doctors on tuberculosis control and the DOTS strategy in Shandong Province, China. | 2008 | 19 |
| 16 | 2021 | 17 | |
| 17 | 2016 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2017 | 13 |
About Jun Cheng
Jun Cheng is a scholar working on Infectious Diseases, Epidemiology, Surgery, Immunology and Finance, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (31 papers), Mycobacterium research and diagnosis (12 papers), Pneumonia and Respiratory Infections (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Diagnosis and treatment of tuberculosis (6 papers), Infectious Diseases and Tuberculosis (6 papers), Healthcare Systems and Reforms (4 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Virology (166 citations), Infectious Diseases (583 citations), Epidemiology (817 citations), Immunology (385 citations) and Parasitology (66 citations). Jun Cheng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hildegund C.J. Ertl, Zhi Quan Xiang, Steven L. Spitalnik, Minh H. Tran, William H. Wunner, Weiguo Zhao, Peter C. Melby, John Hermon-Taylor, N. Sumar and J. M. Sheridan. Their work appears in journals such as China CDC Weekly, Infectious Diseases of Poverty, PLoS ONE, Virology and Infection and Immunity.
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.