Rirong Yang
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Single-cell and spatial transcriptomics 2
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- MicroRNA in disease regulation 3
- NF-κB Signaling Pathways 2
- Co-authors
- Zhenghua Ren (7 shared papers)Jianhua Cui (4 shared papers)Cui Hao (1 shared paper)Lei Wang (1 shared paper)Bang‐De Xiang (4 shared papers)Haojie Yang (4 shared papers)Fuquan Yang (3 shared papers)Jinghang Jiang (3 shared papers)
- Journals
- The Journal of Immunology (3 papers)Applied Microbiology and Biotechnology (1 paper)Medicine (1 paper)International Immunopharmacology (1 paper)FEBS Open Bio (1 paper)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Rirong Yang
21 papers receiving 602 citations
Peers
Comparison fields: 5 of 88
- Geriatrics and Gerontology 41
- Hepatology 61
- Cancer Research 108
- Immunology 157
- Urology 25
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 23 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 | 117 |
| 2 | 2019 | 105 | |
| 3 | 2019 | 61 | |
| 4 | 2015 | 49 | |
| 5 | 2015 | 42 | |
| 6 | 2012 | 37 | |
| 7 | 2016 | 27 | |
| 8 | 2015 | 22 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2024 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2015 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 3 |
About Rirong Yang
Rirong Yang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Pharmacology, having authored 23 papers that have together received 609 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Cells and Metastasis (2 papers), Immune Cell Function and Interaction (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Geriatrics and Gerontology (41 citations), Hepatology (61 citations), Cancer Research (108 citations), Immunology (157 citations) and Urology (25 citations). Rirong Yang has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Zhenghua Ren, Jianhua Cui, Cui Hao, Lei Wang, Bang‐De Xiang, Haojie Yang, Fuquan Yang, Jinghang Jiang, Zhe Guo and Weiming Yuan. Their work appears in journals such as The Journal of Immunology, Applied Microbiology and Biotechnology, Medicine, International Immunopharmacology and FEBS Open Bio.
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.