Jun Jia
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Earth-Surface Processes top 10%
- Geological formations and processes
Papers in
-
- Circular RNAs in diseases 9
- RNA Interference and Gene Delivery 2
- Photosynthetic Processes and Mechanisms 2
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 5
- Co-authors
- Ping Kong (3 shared papers)Yong Zheng (3 shared papers)Jun Ren (5 shared papers)Yanhua Yuan (3 shared papers)Li Che (3 shared papers)Ruinian Zheng (3 shared papers)Chun Liu (2 shared papers)Kejun Liu (2 shared papers)
- Journals
- Clinical & Translational Oncology (2 papers)Cellular Immunology (1 paper)Brazilian Journal of Medical and Biological Research (1 paper)Symbiosis (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Jun Jia
38 papers receiving 856 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 272
- Earth-Surface Processes 53
- Molecular Biology 504
- Oncology 123
- Atmospheric Science 81
Countries citing papers authored by Jun Jia
This map shows the geographic impact of Jun Jia'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 Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jia more than expected).
Fields of papers citing papers by Jun Jia
This network shows the impact of papers produced by Jun Jia. 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 Jia. The network helps show where Jun Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jia, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 105 | |
| 2 | 2018 | 100 | |
| 3 | 2013 | 73 | |
| 4 | 2011 | 65 | |
| 5 | 2018 | 64 | |
| 6 | 2012 | 40 | |
| 7 | 2012 | 36 | |
| 8 | 2020 | 33 | |
| 9 | 2019 | 30 | |
| 10 | 2015 | 29 | |
| 11 | 2014 | 27 | |
| 12 | 2012 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2013 | 22 | |
| 15 | 2016 | 16 | |
| 16 | 2005 | 15 | |
| 17 | 2012 | 15 | |
| 18 | 2013 | 14 | |
| 19 | 1992 | 14 | |
| 20 | 2017 | 14 |
About Jun Jia
Jun Jia is a scholar working on Molecular Biology, Cancer Research, Plant Science, Oncology and Atmospheric Science, having authored 38 papers that have together received 863 indexed citations. Recurring topics across this work include Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (5 papers), Geology and Paleoclimatology Research (3 papers), Plant Stress Responses and Tolerance (3 papers), earthquake and tectonic studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Cancer Research (272 citations), Earth-Surface Processes (53 citations), Molecular Biology (504 citations), Oncology (123 citations) and Atmospheric Science (81 citations). Jun Jia has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Ping Kong, Yong Zheng, Jun Ren, Yanhua Yuan, Li Che, Ruinian Zheng, Chun Liu, Kejun Liu, Huiling Yuan and Wei‐Biao Ye. Their work appears in journals such as Clinical & Translational Oncology, Cellular Immunology, Brazilian Journal of Medical and Biological Research, Symbiosis and Proceedings of the National Academy of Sciences.
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.