Jun Jiang
Impact in
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- Aortic Disease and Treatment Approaches
- Aortic aneurysm repair treatments
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 5
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Co-authors
- Changyi Chen (5 shared papers)Qizhi Yao (5 shared papers)Peter H. Lin (4 shared papers)Jue Yang (2 shared papers)Ting Zhu (2 shared papers)Zhen Shi (2 shared papers)Da Qiao Guo (3 shared papers)Yun Shi (4 shared papers)
- Journals
- Scientific Reports (4 papers)International Journal of Molecular Sciences (2 papers)Circulation (1 paper)PeerJ (1 paper)International Journal of Genomics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Jiang
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Pulmonary and Respiratory Medicine 367
- Cancer Research 132
- Cardiology and Cardiovascular Medicine 168
- Molecular Biology 446
- Epidemiology 198
Countries citing papers authored by Jun Jiang
This map shows the geographic impact of Jun Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jiang more than expected).
Fields of papers citing papers by Jun Jiang
This network shows the impact of papers produced by Jun Jiang. 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 Jiang. The network helps show where Jun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jiang, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 221 | |
| 2 | 2010 | 178 | |
| 3 | Molecular mechanisms and clinical applications of nordihydroguaiaretic acid (NDGA) and its derivatives: an update. | 2010 | 118 |
| 4 | 2002 | 107 | |
| 5 | 2017 | 95 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2019 | 35 | |
| 9 | 2018 | 32 | |
| 10 | 2010 | 31 | |
| 11 | 2016 | 28 | |
| 12 | 2019 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2015 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2017 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2021 | 19 |
About Jun Jiang
Jun Jiang is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (7 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Aortic Disease and Treatment Approaches (4 papers), MicroRNA in disease regulation (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (367 citations), Cancer Research (132 citations), Cardiology and Cardiovascular Medicine (168 citations), Molecular Biology (446 citations) and Epidemiology (198 citations). Jun Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changyi Chen, Qizhi Yao, Peter H. Lin, Jue Yang, Ting Zhu, Zhen Shi, Da Qiao Guo, Yun Shi, Wei Fu and Xin Xu. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, Circulation, PeerJ and International Journal of Genomics.
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.