Juan Ren
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Sphingolipid Metabolism and Signaling
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 11
- Cancer, Lipids, and Metabolism 6
- Oncology 34
- Co-authors
- Hong‐Chang YaoZhongjun LiJichao WangJianshe WangLifeng HanShuang‐Quan ZangZhang LinBeina Hui
- Journals
- HLA (4 papers)Current Pharmaceutical Design (4 papers)World Journal of Gastroenterology (4 papers)Blood (3 papers)Veterinary Microbiology (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Juan Ren
152 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 162
- Cancer Research 533
- Molecular Biology 1.3k
- Oncology 419
- Renewable Energy, Sustainability and the Environment 221
- Immunology 283
Countries citing papers authored by Juan Ren
This map shows the geographic impact of Juan 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 Juan Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Ren more than expected).
Fields of papers citing papers by Juan Ren
This network shows the impact of papers produced by Juan 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 Juan Ren. The network helps show where Juan Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 43 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 93 | |
| 16 | 2018 | 14 | |
| 17 | The Application of Least Squares Support Vector Machine Regression in Water Quality Forecast of Xi'an Ba River | 2011 | 1 |
| 18 | 2010 | 95 | |
| 19 | Issues about water resources development and ecological environment change and its countermeasures in Alashan Region,Inner Mongolia of China | 2010 | 1 |
| 20 | 2008 | 8 |
About Juan Ren
Juan Ren is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 166 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (11 papers), RNA modifications and cancer (10 papers), Ferroptosis and cancer prognosis (8 papers), Circular RNAs in diseases (8 papers), interferon and immune responses (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Cancer Research (533 citations), Molecular Biology (1.3k citations), Oncology (419 citations), Renewable Energy, Sustainability and the Environment (221 citations) and Immunology (283 citations). Juan Ren has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Hong‐Chang Yao, Zhongjun Li, Jichao Wang, Jianshe Wang, Lifeng Han, Shuang‐Quan Zang, Zhang Lin, Beina Hui, Hailin Ma and Yanli Yan. Their work appears in journals such as HLA, Current Pharmaceutical Design, World Journal of Gastroenterology, Blood and Veterinary Microbiology.
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.