Jun Du
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 2%
Papers in
- Oncology 38
- Cancer Cells and Metastasis 15
- Co-authors
- Shaohui Cai (29 shared papers)Hongsheng Wang (23 shared papers)Xianzhang Bu (23 shared papers)Hao Wang (11 shared papers)Ge Zhang (10 shared papers)Zhuojia Chen (14 shared papers)Xianfeng Wang (8 shared papers)Binhua P. Zhou (16 shared papers)
- Journals
- Oncotarget (6 papers)European Journal of Pharmacology (5 papers)Journal of Hazardous Materials (4 papers)Chemical Communications (4 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Du
150 papers receiving 6.2k citations
Jun Du's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 1.3k
- Biological Psychiatry 154
- Health, Toxicology and Mutagenesis 876
- Oncology 1.5k
- Clinical Biochemistry 289
Countries citing papers authored by Jun Du
This map shows the geographic impact of Jun Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Du more than expected).
Fields of papers citing papers by Jun Du
This network shows the impact of papers produced by Jun Du. 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 Du. The network helps show where Jun Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Du, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TGF-β induces M2-like macrophage polarization via SNAIL-mediated suppression of a pro-inflammatory phenotype Hit paper breakdown → | 2016 | 436 |
| 2 | 2019 | 312 | |
| 3 | 2018 | 248 | |
| 4 | 2013 | 244 | |
| 5 | 2014 | 167 | |
| 6 | 2019 | 156 | |
| 7 | 2015 | 134 | |
| 8 | 2001 | 127 | |
| 9 | 2013 | 120 | |
| 10 | 2001 | 118 | |
| 11 | 2014 | 116 | |
| 12 | 2016 | 115 | |
| 13 | 2011 | 114 | |
| 14 | 2014 | 114 | |
| 15 | 2000 | 104 | |
| 16 | 2010 | 103 | |
| 17 | 2015 | 98 | |
| 18 | 2019 | 88 | |
| 19 | 2009 | 87 | |
| 20 | 2014 | 83 |
About Jun Du
Jun Du is a scholar working on Molecular Biology, Oncology, Health, Toxicology and Mutagenesis, Immunology and Cancer Research, having authored 155 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), Effects and risks of endocrine disrupting chemicals (13 papers), Toxic Organic Pollutants Impact (11 papers), Immune cells in cancer (7 papers), Estrogen and related hormone effects (7 papers), Speech Recognition and Synthesis (7 papers), Tryptophan and brain disorders (7 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Cancer Research (1.3k citations), Biological Psychiatry (154 citations), Health, Toxicology and Mutagenesis (876 citations), Oncology (1.5k citations) and Clinical Biochemistry (289 citations). Jun Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shaohui Cai, Hongsheng Wang, Xianzhang Bu, Hao Wang, Ge Zhang, Zhuojia Chen, Xianfeng Wang, Binhua P. Zhou, Ming Hung Wong and Hongsheng Wang. Their work appears in journals such as Oncotarget, European Journal of Pharmacology, Journal of Hazardous Materials, Chemical Communications and Journal of Medicinal Chemistry.
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.