Jun Jiang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cell Adhesion Molecules Research
Papers in
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- Circular RNAs in diseases 6
- RNA modifications and cancer 3
- Angiogenesis and VEGF in Cancer 3
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
- Co-authors
- Xinwen Wang (4 shared papers)Qizhi Yao (4 shared papers)Peter H. Lin (4 shared papers)Changyi Chen (4 shared papers)Rui Jiang (13 shared papers)Zong‐Lai Jiang (3 shared papers)Yue Han (2 shared papers)Qing‐Ping Yao (8 shared papers)
- Journals
- Annals of Medicine (3 papers)Journal of Controlled Release (3 papers)Scientific Reports (2 papers)Journal of Cellular Physiology (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jun Jiang
51 papers receiving 705 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 166
- Immunology and Allergy 37
- Immunology 114
- Molecular Biology 332
- Virology 19
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 143 | |
| 2 | 2008 | 78 | |
| 3 | 2023 | 52 | |
| 4 | 2010 | 43 | |
| 5 | 2018 | 40 | |
| 6 | 2008 | 36 | |
| 7 | 2014 | 24 | |
| 8 | 2024 | 23 | |
| 9 | 2019 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2023 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2013 | 15 | |
| 14 | Endothelial-derived exosomes induced by lipopolysaccharide alleviate rat cardiomyocytes injury and apoptosis. | 2021 | 15 |
| 15 | 2024 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2011 | 10 | |
| 20 | 2024 | 9 |
About Jun Jiang
Jun Jiang is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 709 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Kawasaki Disease and Coronary Complications (3 papers), RNA modifications and cancer (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cancer Research (166 citations), Immunology and Allergy (37 citations), Immunology (114 citations), Molecular Biology (332 citations) and Virology (19 citations). Jun Jiang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xinwen Wang, Qizhi Yao, Peter H. Lin, Changyi Chen, Rui Jiang, Zong‐Lai Jiang, Yue Han, Qing‐Ping Yao, Ying‐Xin Qi and Zhiqiang Yan. Their work appears in journals such as Annals of Medicine, Journal of Controlled Release, Scientific Reports, Journal of Cellular Physiology and International Immunopharmacology.
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.