Jun Wei
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Circular RNAs in diseases 4
- Epigenetics and DNA Methylation 3
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xiaoming Liu (23 shared papers)Guangxian Xu (4 shared papers)Zhaobo Zhang (4 shared papers)Juan Shi (7 shared papers)Feng Li (5 shared papers)Jiali Yang (9 shared papers)Le Guo (4 shared papers)Meihui Luo (4 shared papers)
- Journals
- Molecular Immunology (3 papers)PLoS ONE (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)The Journal of Immunology (2 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaUnited StatesPanama
In The Last Decade
Jun Wei
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 423
- Genetics 199
- Immunology 235
- Molecular Biology 634
- Pulmonary and Respiratory Medicine 256
Countries citing papers authored by Jun Wei
This map shows the geographic impact of Jun Wei'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 Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei more than expected).
Fields of papers citing papers by Jun Wei
This network shows the impact of papers produced by Jun Wei. 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 Wei. The network helps show where Jun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wei, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2013 | 83 | |
| 3 | 2013 | 82 | |
| 4 | 2016 | 76 | |
| 5 | 2014 | 67 | |
| 6 | 2017 | 67 | |
| 7 | 2013 | 66 | |
| 8 | 2009 | 62 | |
| 9 | 2013 | 58 | |
| 10 | 2017 | 58 | |
| 11 | 2015 | 56 | |
| 12 | 2017 | 50 | |
| 13 | 2013 | 49 | |
| 14 | 2016 | 46 | |
| 15 | 2012 | 44 | |
| 16 | 2017 | 44 | |
| 17 | 2015 | 43 | |
| 18 | 2014 | 42 | |
| 19 | 2017 | 41 | |
| 20 | 2016 | 40 |
About Jun Wei
Jun Wei is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Mesenchymal stem cell research (6 papers), Neonatal Respiratory Health Research (6 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (423 citations), Genetics (199 citations), Immunology (235 citations), Molecular Biology (634 citations) and Pulmonary and Respiratory Medicine (256 citations). Jun Wei has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Xiaoming Liu, Guangxian Xu, Zhaobo Zhang, Juan Shi, Feng Li, Jiali Yang, Le Guo, Meihui Luo, William C. Cho and Zhaohui Ge. Their work appears in journals such as Molecular Immunology, PLoS ONE, Frontiers in Cellular and Infection Microbiology, The Journal of Immunology and Stem Cell Research & Therapy.
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.