Jun Ouyang
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
- Chromatin Remodeling and Cancer 2
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Tiebing Zeng (1 shared paper)Hui Ling (1 shared paper)Zhihong Cai (1 shared paper)Yichen Luo (1 shared paper)Xi Zeng (1 shared paper)Juan Zou (1 shared paper)Stephen E. Alway (2 shared papers)Julie Martyn (1 shared paper)
- Journals
- Transplantation (3 papers)Clinical & Translational Oncology (1 paper)Neoplasia (1 paper)Journal of Cancer (1 paper)Technology in Cancer Research & Treatment (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Ouyang
29 papers receiving 502 citations
Peers
Comparison fields: 5 of 74
- Transplantation 41
- Cancer Research 159
- Molecular Biology 330
- Epidemiology 99
- Toxicology 9
Countries citing papers authored by Jun Ouyang
This map shows the geographic impact of Jun Ouyang'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 Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ouyang more than expected).
Fields of papers citing papers by Jun Ouyang
This network shows the impact of papers produced by Jun Ouyang. 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 Ouyang. The network helps show where Jun Ouyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ouyang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2015 | 76 | |
| 3 | 2003 | 53 | |
| 4 | 2003 | 30 | |
| 5 | GKN2 increases apoptosis, reduces the proliferation and invasion ability of gastric cancer cells through down-regulating the JAK/STAT signaling pathway. | 2017 | 29 |
| 6 | 2003 | 26 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2008 | 14 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2005 | 10 | |
| 16 | 2017 | 5 | |
| 17 | 2010 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2004 | 4 | |
| 20 | 2015 | 4 |
About Jun Ouyang
Jun Ouyang is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Surgery, having authored 29 papers that have together received 505 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), RNA Research and Splicing (2 papers), Transplantation: Methods and Outcomes (2 papers), Immune Cell Function and Interaction (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Transplantation (41 citations), Cancer Research (159 citations), Molecular Biology (330 citations), Epidemiology (99 citations) and Toxicology (9 citations). Jun Ouyang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Tiebing Zeng, Hui Ling, Zhihong Cai, Yichen Luo, Xi Zeng, Juan Zou, Stephen E. Alway, Julie Martyn, Zsolt Murlasits and Guangbo Fu. Their work appears in journals such as Transplantation, Clinical & Translational Oncology, Neoplasia, Journal of Cancer and Technology in Cancer Research & Treatment.
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.