Jiang Ren
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- TGF-β signaling in diseases 8
- RNA Interference and Gene Delivery 6
- Pluripotent Stem Cells Research 3
- Advanced biosensing and bioanalysis techniques 3
- Oncology 10
- Cancer Cells and Metastasis 5
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Peter ten Dijke (15 shared papers)Sijia Liu (5 shared papers)Long Zhang (8 shared papers)Fangfang Zhou (7 shared papers)Hans van Dam (3 shared papers)Zhi Zong (4 shared papers)Yujun Wei (2 shared papers)Hong‐Jian Zhu (2 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (3 papers)Breast Cancer Research (2 papers)Advanced Science (2 papers)Journal of Visualized Experiments (2 papers)Molecular Cancer (1 paper)
- Partner nations
- ChinaNetherlandsSweden
In The Last Decade
Jiang Ren
34 papers receiving 1.4k citations
Jiang Ren's Hit Papers
Peers
Comparison fields: 5 of 104
- Oncology 466
- Cancer Research 250
- Molecular Biology 733
- Immunology 197
- Cell Biology 94
Countries citing papers authored by Jiang Ren
This map shows the geographic impact of Jiang 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 Jiang Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Ren more than expected).
Fields of papers citing papers by Jiang Ren
This network shows the impact of papers produced by Jiang 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 Jiang Ren. The network helps show where Jiang Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting TGFβ signal transduction for cancer therapy Hit paper breakdown → | 2021 | 283 |
| 2 | 2019 | 122 | |
| 3 | 2019 | 87 | |
| 4 | 2021 | 87 | |
| 5 | 2017 | 84 | |
| 6 | 2013 | 58 | |
| 7 | 2023 | 58 | |
| 8 | 2015 | 49 | |
| 9 | 2021 | 46 | |
| 10 | 2019 | 39 | |
| 11 | 2012 | 38 | |
| 12 | 2017 | 37 | |
| 13 | 2015 | 36 | |
| 14 | 2022 | 35 | |
| 15 | Emerging roles of lysine lactyltransferases and lactylation Hit paper breakdown → | 2025 | 34 |
| 16 | 2024 | 33 | |
| 17 | 2011 | 29 | |
| 18 | 2022 | 26 | |
| 19 | 2020 | 24 | |
| 20 | 2012 | 24 |
About Jiang Ren
Jiang Ren is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Genetics, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), RNA Interference and Gene Delivery (6 papers), Cancer Cells and Metastasis (5 papers), Pluripotent Stem Cells Research (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Research and Treatments (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Oncology (466 citations), Cancer Research (250 citations), Molecular Biology (733 citations), Immunology (197 citations) and Cell Biology (94 citations). Jiang Ren has collaborated with scholars based in China, Netherlands and Sweden. Frequent co-authors include Peter ten Dijke, Sijia Liu, Long Zhang, Fangfang Zhou, Hans van Dam, Zhi Zong, Yujun Wei, Hong‐Jian Zhu, Josephine Iaria and Wen Zhu. Their work appears in journals such as Signal Transduction and Targeted Therapy, Breast Cancer Research, Advanced Science, Journal of Visualized Experiments and Molecular Cancer.
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.