Jun Jiang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Plant Gene Expression Analysis 4
- Circular RNAs in diseases 4
- Plant biochemistry and biosynthesis 4
- Epigenetics and DNA Methylation 3
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xiaochuan Wang (1 shared paper)Hongbin Luo (1 shared paper)Xiji Shu (1 shared paper)Jian–Zhi Wang (1 shared paper)Ye Feng (1 shared paper)Xinghua Liu (1 shared paper)Guang Yu (1 shared paper)Gang Yin (1 shared paper)
- Journals
- Medicine (3 papers)Journal of Nanobiotechnology (3 papers)Blood Pressure Monitoring (3 papers)Frontiers in Pharmacology (3 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Jiang
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 179
- Molecular Biology 486
- Physiology 145
- Oncology 124
- Neurology 39
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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 190 | |
| 2 | 2013 | 50 | |
| 3 | 2022 | 49 | |
| 4 | 2014 | 49 | |
| 5 | 2015 | 48 | |
| 6 | 2021 | 44 | |
| 7 | 2013 | 44 | |
| 8 | 2005 | 44 | |
| 9 | 2015 | 36 | |
| 10 | 2015 | 33 | |
| 11 | 2024 | 28 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2021 | 23 | |
| 15 | MicroRNA-202 induces cell cycle arrest and apoptosis in lung cancer cells through targeting cyclin D1. | 2016 | 23 |
| 16 | 2023 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2021 | 14 |
About Jun Jiang
Jun Jiang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Plant Science and Oncology, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Plant Gene Expression Analysis (4 papers), Circular RNAs in diseases (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Plant biochemistry and biosynthesis (4 papers), Epigenetics and DNA Methylation (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Cancer Research (179 citations), Molecular Biology (486 citations), Physiology (145 citations), Oncology (124 citations) and Neurology (39 citations). Jun Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaochuan Wang, Hongbin Luo, Xiji Shu, Jian–Zhi Wang, Ye Feng, Xinghua Liu, Guang Yu, Gang Yin, Keqiang Ye and Yiyuan Xia. Their work appears in journals such as Medicine, Journal of Nanobiotechnology, Blood Pressure Monitoring, Frontiers in Pharmacology 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.