Jun Ren
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Numerical Analysis top 5%
Papers in
-
- RNA Interference and Gene Delivery 2
- Immunology 15
- Immune Cell Function and Interaction 6
- Immune cells in cancer 3
- Co-authors
- Qiwei Wang (12 shared papers)Bo Liu (11 shared papers)Stephanie Morgan (8 shared papers)O. L. Mangasarian (2 shared papers)Zhenjie Liu (5 shared papers)Jonathan P. Moorman (9 shared papers)Zhi Q. Yao (9 shared papers)Juan Zhao (5 shared papers)
- Journals
- Circulation Research (3 papers)Immunology (3 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jun Ren
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Immunology 450
- Numerical Analysis 91
- Cancer Research 167
- Biomaterials 134
- Pulmonary and Respiratory Medicine 277
Countries citing papers authored by Jun Ren
This map shows the geographic impact of Jun Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ren more than expected).
Fields of papers citing papers by Jun Ren
This network shows the impact of papers produced by Jun Ren. 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 Ren. The network helps show where Jun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ren, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 287 | |
| 2 | 2015 | 104 | |
| 3 | 2015 | 90 | |
| 4 | 2023 | 89 | |
| 5 | 2019 | 74 | |
| 6 | 2015 | 74 | |
| 7 | 2017 | 64 | |
| 8 | 2014 | 63 | |
| 9 | 2016 | 61 | |
| 10 | 1994 | 55 | |
| 11 | 2016 | 51 | |
| 12 | 1994 | 50 | |
| 13 | 2014 | 50 | |
| 14 | 2017 | 45 | |
| 15 | 2014 | 42 | |
| 16 | 2013 | 36 | |
| 17 | 2012 | 36 | |
| 18 | 2019 | 32 | |
| 19 | 2016 | 30 | |
| 20 | 2015 | 27 |
About Jun Ren
Jun Ren is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (8 papers), Immune Cell Function and Interaction (6 papers), Immune cells in cancer (3 papers), Hepatitis B Virus Studies (2 papers), RNA Interference and Gene Delivery (2 papers), Advanced Optimization Algorithms Research (2 papers), Hepatitis C virus research (2 papers) and Optimization and Variational Analysis (2 papers). The work is most often cited by research in Immunology (450 citations), Numerical Analysis (91 citations), Cancer Research (167 citations), Biomaterials (134 citations) and Pulmonary and Respiratory Medicine (277 citations). Jun Ren has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Qiwei Wang, Bo Liu, Stephanie Morgan, O. L. Mangasarian, Zhenjie Liu, Jonathan P. Moorman, Zhi Q. Yao, Juan Zhao, Guang Y. Li and Yi Wang. Their work appears in journals such as Circulation Research, Immunology, Scientific Reports, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.
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.