Jun-Xian Du
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Cancer-related gene regulation 2
- Extracellular vesicles in disease 2
- Epigenetics and DNA Methylation 2
-
- MicroRNA in disease regulation 2
- Co-authors
- Wei Zhu (5 shared papers)Jialiang Cai (9 shared papers)Yonglei Liu (2 shared papers)Gui‐Qi Zhu (7 shared papers)Jing-Lei Wan (7 shared papers)Shiping Chen (6 shared papers)Yihong Luo (5 shared papers)Zhi Dai (5 shared papers)
In The Last Decade
Jun-Xian Du
21 papers receiving 467 citations
Jun-Xian Du's Hit Papers
Peers
Comparison fields: 5 of 55
- Cancer Research 189
- Molecular Biology 304
- Immunology 73
- Oncology 58
- Pulmonary and Respiratory Medicine 45
Countries citing papers authored by Jun-Xian Du
This map shows the geographic impact of Jun-Xian 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-Xian 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-Xian Du more than expected).
Fields of papers citing papers by Jun-Xian Du
This network shows the impact of papers produced by Jun-Xian 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-Xian Du. The network helps show where Jun-Xian Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Xian 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting SRSF10 might inhibit M2 macrophage polarization and potentiate anti‐PD‐1 therapy in hepatocellular carcinoma Hit paper breakdown → | 2024 | 88 |
| 2 | 2021 | 71 | |
| 3 | 2021 | 68 | |
| 4 | 2020 | 40 | |
| 5 | 2020 | 36 | |
| 6 | 2022 | 31 | |
| 7 | 2020 | 29 | |
| 8 | 2025 | 21 | |
| 9 | 2024 | 18 | |
| 10 | 2022 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2021 | 1 |
About Jun-Xian Du
Jun-Xian Du is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Electrical and Electronic Engineering, having authored 22 papers that have together received 468 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Ferroptosis and cancer prognosis (4 papers), RNA Research and Splicing (4 papers), Cancer-related gene regulation (2 papers), Immune cells in cancer (2 papers), Extracellular vesicles in disease (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (189 citations), Molecular Biology (304 citations), Immunology (73 citations), Oncology (58 citations) and Pulmonary and Respiratory Medicine (45 citations). Jun-Xian Du has collaborated with scholars based in China, Ethiopia and India. Frequent co-authors include Wei Zhu, Jialiang Cai, Yonglei Liu, Gui‐Qi Zhu, Jing-Lei Wan, Shiping Chen, Yihong Luo, Zhi Dai, Zhi Dai and Zhihui Min. Their work appears in journals such as Cancer Letters, IEEE Transactions on Dielectrics and Electrical Insulation, Frontiers in Oncology, Gene and Advanced Science.
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.