Rirong Yang
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Single-cell and spatial transcriptomics 2
- Circular RNAs in diseases 2
- Oncology 7
- Cancer Cells and Metastasis 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Zhenghua Ren (6 shared papers)Jianhua Cui (3 shared papers)Hao Cui (1 shared paper)Lei Wang (1 shared paper)Haojie Yang (4 shared papers)Bang‐De Xiang (4 shared papers)Jinghang Jiang (3 shared papers)Fuquan Yang (3 shared papers)
- Journals
- The Journal of Immunology (3 papers)Medicine (1 paper)Frontiers in Immunology (1 paper)International Immunopharmacology (1 paper)Journal of Translational Medicine (1 paper)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Rirong Yang
21 papers receiving 588 citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 42
- Cancer Research 125
- Immunology 173
- Hepatology 62
- Urology 27
Countries citing papers authored by Rirong Yang
This map shows the geographic impact of Rirong Yang'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 Rirong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rirong Yang more than expected).
Fields of papers citing papers by Rirong Yang
This network shows the impact of papers produced by Rirong Yang. 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 Rirong Yang. The network helps show where Rirong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Rirong Yang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Resveratrol inhibits NF-kB signaling through suppression of p65 and IkappaB kinase activities. | 2013 | 118 |
| 2 | 2019 | 101 | |
| 3 | 2019 | 59 | |
| 4 | 2015 | 48 | |
| 5 | 2015 | 42 | |
| 6 | 2012 | 37 | |
| 7 | 2016 | 27 | |
| 8 | 2015 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2024 | 16 | |
| 14 | 2015 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 2 |
About Rirong Yang
Rirong Yang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 21 papers that have together received 595 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Cancer Cells and Metastasis (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Single-cell and spatial transcriptomics (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Geriatrics and Gerontology (42 citations), Cancer Research (125 citations), Immunology (173 citations), Hepatology (62 citations) and Urology (27 citations). Rirong Yang has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Zhenghua Ren, Jianhua Cui, Hao Cui, Lei Wang, Haojie Yang, Bang‐De Xiang, Jinghang Jiang, Fuquan Yang, Zhe Guo and Zengnan Mo. Their work appears in journals such as The Journal of Immunology, Medicine, Frontiers in Immunology, International Immunopharmacology and Journal of Translational Medicine.
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.