Jun Dou
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in
- Oncology 43
- Cancer Cells and Metastasis 26
- CAR-T cell therapy research 8
- Co-authors
- Ning Gu (29 shared papers)Fengshu Zhao (41 shared papers)Fangfang Shi (21 shared papers)Xiaoying Wang (8 shared papers)Hongyi Zhang (9 shared papers)Kai Cai (7 shared papers)Junsong Chen (12 shared papers)Haji Akber Aisa (7 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)International Immunopharmacology (3 papers)Scientific Reports (3 papers)Immunobiology (3 papers)Journal of Ovarian Research (3 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Jun Dou
120 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 805
- Oncology 931
- Immunology 573
- Molecular Biology 1.5k
- Biotechnology 139
Countries citing papers authored by Jun Dou
This map shows the geographic impact of Jun Dou'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 Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dou more than expected).
Fields of papers citing papers by Jun Dou
This network shows the impact of papers produced by Jun Dou. 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 Dou. The network helps show where Jun Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dou, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 322 | |
| 2 | Isolation and identification of cancer stem-like cells from murine melanoma cell lines. | 2007 | 120 |
| 3 | 2014 | 89 | |
| 4 | Decreasing lncRNA HOTAIR expression inhibits human colorectal cancer stem cells. | 2016 | 88 |
| 5 | 2013 | 83 | |
| 6 | 2010 | 71 | |
| 7 | 2013 | 67 | |
| 8 | 2013 | 63 | |
| 9 | 2010 | 56 | |
| 10 | 2014 | 53 | |
| 11 | 2007 | 53 | |
| 12 | 2013 | 51 | |
| 13 | 2012 | 50 | |
| 14 | 2016 | 48 | |
| 15 | 2011 | 46 | |
| 16 | 2012 | 44 | |
| 17 | 2016 | 42 | |
| 18 | 2018 | 41 | |
| 19 | 2014 | 40 | |
| 20 | 2014 | 39 |
About Jun Dou
Jun Dou is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Epidemiology, having authored 122 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (29 papers), Cancer Cells and Metastasis (26 papers), MicroRNA in disease regulation (9 papers), Nanoparticle-Based Drug Delivery (8 papers), CAR-T cell therapy research (8 papers), Cancer Research and Treatments (8 papers), Cancer-related molecular mechanisms research (7 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Cancer Research (805 citations), Oncology (931 citations), Immunology (573 citations), Molecular Biology (1.5k citations) and Biotechnology (139 citations). Jun Dou has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Ning Gu, Fengshu Zhao, Fangfang Shi, Xiaoying Wang, Hongyi Zhang, Kai Cai, Junsong Chen, Haji Akber Aisa, Yunxia Zhang and Cuiping Yang. Their work appears in journals such as Biomedicine & Pharmacotherapy, International Immunopharmacology, Scientific Reports, Immunobiology and Journal of Ovarian Research.
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.