Jun Tang
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies 11
- Immunology top 5%
- interferon and immune responses 12
- Cancer Research top 5%
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 7
- Molecular Biology top 10%
- RNA modifications and cancer 7
- RNA Interference and Gene Delivery 6
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- Virus-based gene therapy research 13
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- Herpesvirus Infections and Treatments 12
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- Cancer-related Molecular Pathways 10
- Co-authors
- Xiaolu YangWen-hai FengQiong ZhangAotian XuRui ZhangLike QuChen HuangEugene M. Oltz
- Journals
- Journal of Virology (7 papers)Biochemical and Biophysical Research Communications (5 papers)The Journal of Immunology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Tang
82 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 114
- Animal Science and Zoology 376
- Immunology 626
- Cancer Research 311
- Infectious Diseases 350
- Molecular Biology 1.2k
Countries citing papers authored by Jun Tang
This map shows the geographic impact of Jun Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tang more than expected).
Fields of papers citing papers by Jun Tang
This network shows the impact of papers produced by Jun Tang. 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 Tang. The network helps show where Jun Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 1 | |
| 9 | 2016 | 54 | |
| 10 | 2016 | 44 | |
| 11 | 2015 | 35 | |
| 12 | 2015 | 6 | |
| 13 | 2015 | 17 | |
| 14 | 2015 | 73 | |
| 15 | 2014 | 2 | |
| 16 | 2011 | 281 | |
| 17 | 2007 | 47 | |
| 18 | 2006 | 18 | |
| 19 | 2006 | 197 | |
| 20 | 2005 | 1 |
About Jun Tang
Jun Tang is a scholar working on Animal Science and Zoology, Immunology, Cancer Research, Molecular Biology and Infectious Diseases, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), interferon and immune responses (12 papers), Herpesvirus Infections and Treatments (12 papers), Animal Virus Infections Studies (11 papers), Cancer-related Molecular Pathways (10 papers), Viral gastroenteritis research and epidemiology (7 papers), RNA modifications and cancer (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Animal Science and Zoology (376 citations), Immunology (626 citations), Cancer Research (311 citations), Infectious Diseases (350 citations) and Molecular Biology (1.2k citations). Jun Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaolu Yang, Wen-hai Feng, Qiong Zhang, Aotian Xu, Rui Zhang, Like Qu, Chen Huang, Eugene M. Oltz, Yue Lang and Bjoern Schwer. Their work appears in journals such as Journal of Virology, Biochemical and Biophysical Research Communications, The Journal of Immunology, PLoS ONE and Journal of Biological Chemistry.
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.